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Mitigation of Imperfect Successive Interference Cancellation and Wavelet-Based Nonorthogonal Multiple Access in the 5G Multiuser Downlink Network Wirel. Commun. Mob. Comput. (IF 1.819) Pub Date : 2021-01-21 Muneeb Ahmad; Sobia Baig; Hafiz Muhammad Asif; Kaamran Raahemifar
The fourth Industrial Revolution is expected to lead to an era of technological innovation and digitization that would require connectivity by the users, anywhere and anytime. The fifth generation of wireless communication systems and the technologies therein are being explored to cater to high connectivity needs that encompass high data rates, very low latencies, energy-efficient systems, etc. A multiuser
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A Semidynamic Bidirectional Clustering Algorithm for Downlink Cell-Free Massive Distributed Antenna System Wirel. Commun. Mob. Comput. (IF 1.819) Pub Date : 2021-01-21 Panpan Qian; Huan Zhao; Yanmin Zhu; Qiang Sun
Cell-free massive distributed antenna system (CF-MDAS) can further reduce the access distance between mobile stations (MSs) and remote access points (RAPs), which brings a lower propagation loss and higher multiplexing gain. However, the interference caused by the overlapping coverage areas of distributed RAPs will severely degrade the system performance in terms of the sum-rate. Since that clustering
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Flexible Investment Strategies for Cloud-Native Architecture of Public Health Information Systems Wirel. Commun. Mob. Comput. (IF 1.819) Pub Date : 2021-01-20 Ming Jiang; Ichiro Nakamoto; Weiqing Zhuang; Weiguo Zhang; Yin Guo; Liting Ma
The randomness of public health events requires that the cloud-native architecture, as the mainstream architecture of the new generation of the public health information system, has the appropriate flexibility to meet the needs of environmental change. The flexible acquisition of cloud-native architecture requires organizations to invest additional resources. How to plan and formulate resource input
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Design of Sanda Action Reconstruction Model Based on 3D Images Wirel. Commun. Mob. Comput. (IF 1.819) Pub Date : 2021-01-19 Hongwei Zhao
In order to improve the training level of Sanda movement, this article uses an image analysis method to reconstruct the detailed characteristics of the movement and apply them to the actual training process. Since the traditional wavelet reconstruction method is affected by the accuracy of the decomposition scale, this paper proposes an improved method of Sanda action based on 3D image reconstruction
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SAR Image Target Recognition Based on Monogenic Signal and Sparse Representation Wirel. Commun. Mob. Comput. (IF 1.819) Pub Date : 2021-01-18 XiuXia Ji; Yinan Sun
It is necessary to recognize the target in the situation of military battlefield monitoring and civilian real-time monitoring. Sparse representation-based SAR image target recognition method uses training samples or feature information to construct an overcomplete dictionary, which will inevitably affect the recognition speed. In this paper, a method based on monogenic signal and sparse representation
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A Survey of Cooperative Jamming-Based Secure Transmission for Energy-Limited Systems Wirel. Commun. Mob. Comput. (IF 1.819) Pub Date : 2021-01-15 Yuandong Wu; Yan Huo
Considering the ongoing development of various devices and rich applications in intelligent Internet of Things (IoT) systems, it is a crucial issue to solve secure transmission of legitimate signals for massive data sharing in the systems. Cooperative jamming-based physical layer security is explored to be a complement of conventional cryptographic schemes to protect private information. Yet, this
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Antiforensics of Speech Resampling Using Dual-Path Strategy Wirel. Commun. Mob. Comput. (IF 1.819) Pub Date : 2021-01-15 Diqun Yan; Yongkang Gong; Tianyun Liu
Resampling is an operation to convert a digital speech from a given sampling rate to a different one. It can be used to interface two systems with different sampling rates. Unfortunately, resampling may also be intentionally utilized as a postoperation to remove the manipulated artifacts left by pitch shifting, splicing, etc. To detect the resampling, some forensic detectors have been proposed. Little
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Adaptive Reconstruction Algorithm Based on Compressed Sensing Broadband Receiver Wirel. Commun. Mob. Comput. (IF 1.819) Pub Date : 2021-01-15 Wei-Jian Si; Qiang Liu; Zhi-An Deng
Existing greedy reconstruction algorithms require signal sparsity, and the remaining sparsity adaptive algorithms can be reconstructed but cannot achieve accurate sparsity estimation. To address this problem, a blind sparsity reconstruction algorithm is proposed in this paper, which is applied to compressed sensing radar receiver system. The proposed algorithm can realize the estimation of signal sparsity
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On the Performance of Self-Concatenated Coding for Wireless Mobile Video Transmission Using DSTS-SP-Assisted Smart Antenna System Wirel. Commun. Mob. Comput. (IF 1.819) Pub Date : 2021-01-15 Nasru Minallah; Ishtiaque Ahmed; Muhammad Ijaz; Atif Sardar Khan; Laiq Hasan; Atiqur Rehman
In the current age of advanced technologies, there is an escalating demand for reliable wireless systems, catering to the high data rates of mobile multimedia applications. This article presents a novel approach to the concept of Self-Concatenated Convolutional Coding (SECCC) with Sphere Packing (SP) modulation via Differential Space-Time Spreading- (DSTS-) based smart antennas. The two transmitters
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OPPNets and Rural Areas: An Opportunistic Solution for Remote Communications Wirel. Commun. Mob. Comput. (IF 1.819) Pub Date : 2021-01-15 Manuel Jesús-Azabal; Juan Luis Herrera; Sergio Laso; Jaime Galán-Jiménez
Many rural areas along Spain do not have access to the Internet. Despite the huge spread of technology that has taken place during recent years, some rural districts and isolated villages have a lack of proper communication infrastructures. Moreover, these areas and the connected regions are notably experiencing a technological gap. As a consequence of this, the implementation of technological health
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Fingerprinting Indoor Positioning Method Based on Kernel Ridge Regression with Feature Reduction Wirel. Commun. Mob. Comput. (IF 1.819) Pub Date : 2021-01-11 Yanfen Le; Shijialuo Jin; Hena Zhang; Weibin Shi; Heng Yao
An important goal of indoor positioning systems is to improve positioning accuracy as well as reduce power consumption. In this paper, we propose an indoor positioning method based on the received signal strength (RSS) fingerprint. The proposed method used a certain criterion to select fixed access points (FPs) in an offline phase instead of an online phase for location estimation. Principal component
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Scaling Performance Analysis and Optimization Based on the Node Spatial Distribution in Mobile Content-Centric Networks Wirel. Commun. Mob. Comput. (IF 1.819) Pub Date : 2021-01-09 Jiajie Ren; Demin Li; Lei Zhang; Guanglin Zhang
Content-centric networks (CCNs) have become a promising technology for relieving the increasing wireless traffic demands. In this paper, we explore the scaling performance of mobile content-centric networks based on the nonuniform spatial distribution of nodes, where each node moves around its own home point and requests the desired content according to a Zipf distribution. We assume each mobile node
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Improved Lightweight Cloud Storage Auditing Protocol for Shared Medical Data Wirel. Commun. Mob. Comput. (IF 1.819) Pub Date : 2021-01-09 Haibin Yang; Zhengge Yi; Xu An Wang; Yunxuan Su; Zheng Tu; Xiaoyuan Yang
Now, it is common for patients and medical institutions to outsource their data to cloud storage. This can greatly reduce the burden of medical information management and storage and improve the efficiency of the entire medical industry. In some cases, the group-based cloud storage system is also very common to be used. For example, in an medical enterprise, the employees outsource the working documents
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Joint Congestion Control and Resource Allocation for Delay-Aware Tasks in Mobile Edge Computing Wirel. Commun. Mob. Comput. (IF 1.819) Pub Date : 2021-01-09 Shichao Li; Qiuyun Wang; Yunfeng Wang; Jianli Xie; Cuiran Li; Dengtai Tan; Weigang Kou; Wenjie Li
Recently, in order to extend the computation capability of smart mobile devices (SMDs) and reduce the task execution delay, mobile edge computing (MEC) has attracted considerable attention. In this paper, a stochastic optimization problem is formulated to maximize the system utility and ensure the queue stability, which subjects to the power, subcarrier, SMDs, and MEC server computation resource constraints
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Wi-Fi Fingerprint-Based Indoor Mobile User Localization Using Deep Learning Wirel. Commun. Mob. Comput. (IF 1.819) Pub Date : 2021-01-08 Junhang Bai; Yongliang Sun; Weixiao Meng; Cheng Li
In recent years, deep learning has been used for Wi-Fi fingerprint-based localization to achieve a remarkable performance, which is expected to satisfy the increasing requirements of indoor location-based service (LBS). In this paper, we propose a Wi-Fi fingerprint-based indoor mobile user localization method that integrates a stacked improved sparse autoencoder (SISAE) and a recurrent neural network
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A Novel Optimal Selection Algorithm for Agricultural Trade Export in Blockchain-Enabled Internet of Things Wirel. Commun. Mob. Comput. (IF 1.819) Pub Date : 2021-01-08 Shuhao Cao
With the maturity of modern science and technology, such as networks and computers, Internet of Things has been widely used in various fields of industry, opening up a new situation for the development of the industry and creating a broader development platform. This paper systematically analyzes the characteristics and changes of the commodity structure, regional structure, market structure, and main
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Two-Stage Precoding Based on Overlapping User Grouping Approach in IoT-Oriented 5G MU-MIMO Systems Wirel. Commun. Mob. Comput. (IF 1.819) Pub Date : 2021-01-08 Djordje B. Lukic; Goran B. Markovic; Dejan D. Drajic
Downlink transmission techniques for multiuser (MU) multiple-input multiple-output (MIMO) systems have been comprehensively studied during the last two decades. The well-known low complexity linear precoding schemes are currently deployed in long-term evolution (LTE) networks. However, these schemes exhibit serious shortcomings in scenarios when users’ channels are strongly correlated. The nonlinear
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Research on English Translation Based on Functional Equivalence Theory and Genetic Algorithm Wirel. Commun. Mob. Comput. (IF 1.819) Pub Date : 2021-01-07 Yuan Liu; Liangfeng Dong
With the increasing development of our country and the world, the importance of English as an international language is self-evident. But we have difficulty in English translation, especially the vocabulary and translation of business English letters, not only because we have different living habits but also because we have different ways of speaking. Based on the research of functional equivalence
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Face Image Publication Based on Differential Privacy Wirel. Commun. Mob. Comput. (IF 1.819) Pub Date : 2021-01-07 Chao Liu; Jing Yang; Weinan Zhao; Yining Zhang; Jingyou Li; Chunmiao Mu
As an information carrier, face images contain abundant sensitive information. Due to its natural weak privacy, direct publishing may divulge privacy. Anonymization Technology and Data Encryption Technology are limited by the background knowledge and attack means of attackers, which cannot completely content the needs of face image privacy protection. Therefore, this paper proposes a face image publishing
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Dispersed Computing for Tactical Edge in Future Wars: Vision, Architecture, and Challenges Wirel. Commun. Mob. Comput. (IF 1.819) Pub Date : 2021-01-07 Haigen Yang; Gang Li; GuiYing Sun; JinXiang Chen; Xiangxin Meng; HongYan Yu; Wenting Xu; Qiang Qu; Xiaokun Ying
In the future, the tactical edge is far away from the command center, the resources of communication and computing are limited, and the battlefield situation is changing rapidly, which leads to the weak connection and fast changes of network topology in a harsh and complex battlefield environment. Thus, to meet the needs of communication and computing to build a new generation of computing architecture
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Advanced Power Management and Control for Hybrid Electric Vehicles: A Survey Wirel. Commun. Mob. Comput. (IF 1.819) Pub Date : 2021-01-07 Jielin Jiang; Qinting Jiang; Jinhui Chen; Xiaotong Zhou; Shengkai Zhu; Tianyu Chen
With the trend of low emissions and sustainable development, the demand for hybrid electric vehicles (HEVs) has increased rapidly. By combining a conventional internal combustion engine with one or more electric motors powered by a battery, HEVs have the advantages over traditional vehicles in better fuel economy and lower tailpipe emissions. Nevertheless, the power management strategies (PMSs) for
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Deep Camera-Aware Metric Learning for Person Reidentification Wirel. Commun. Mob. Comput. (IF 1.819) Pub Date : 2021-01-06 Wei Liu; Ping Liang; Lei Liu; Zhiqiang Hao; Xin Xu
Person reidentification (re-id) suffers from a challenging issue due to the significant inconsistency of the camera network, including position, view, and brands. In this paper, we propose a deep camera-aware metric learning (DCAML) model, where images on the identity-level spaces are further projected into different camera-level subspaces, which can explore the inherent relationship between identity
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Adaptive Physical Layer Selection for Bluetooth 5: Measurements and Simulations Wirel. Commun. Mob. Comput. (IF 1.819) Pub Date : 2021-01-06 Muhammad Usman Sheikh; Behnam Badihi; Kalle Ruttik; Riku Jäntti
The main target of this article is to propose a simple Received Signal Strength Indicator- (RSSI-) based adaptive Physical Layer (PHY) selection approach for Bluetooth Low Energy 5.0 (BLE 5) and compare the performance of adaptive PHY selection with the performance of individual PHY. This article also validates the simulation results acquired from the in-house developed Ray Tracing (RT) tool with the
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Edge Computing- and H∞-Switching-Based Networked Control for Frequency Control in Multi-Microgrids with Time Delays Wirel. Commun. Mob. Comput. (IF 1.819) Pub Date : 2021-01-06 Peng Yang; Wei Guo; Guanghua Wu; Cong Wang; Kai Zhang; Ran Zhang
The frequency stability of multi-microgrids is easily affected by random load fluctuations and intermittent renewable resources. Additionally, geographically distributed generation equipment usually cannot adopt the “point-to-point” dedicated communication scheme to realize the information exchange considering the construction and computation costs. Therefore, a H∞-switching frequency control strategy
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Optimal Clustering in Wireless Sensor Networks for the Internet of Things Based on Memetic Algorithm: memeWSN Wirel. Commun. Mob. Comput. (IF 1.819) Pub Date : 2021-01-06 Masood Ahmad; Babar Shah; Abrar Ullah; Fernando Moreira; Omar Alfandi; Gohar Ali; Abdul Hameed
In wireless sensor networks for the Internet of Things (WSN-IoT), the topology deviates very frequently because of the node mobility. The topology maintenance overhead is high in flat-based WSN-IoTs. WSN clustering is suggested to not only reduce the message overhead in WSN-IoT but also control the congestion and easy topology repairs. The partition of wireless mobile nodes (WMNs) into clusters is
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Data Security Storage Method for Power Distribution Internet of Things in Cyber-Physical Energy Systems Wirel. Commun. Mob. Comput. (IF 1.819) Pub Date : 2021-01-05 Jiayong Zhong; Xiaofu Xiong
The existing cloud storage methods cannot meet the delay requirements of intelligent devices in the power distribution Internet of Things (IoT), and it is difficult to ensure the data security in the complex network environment. Therefore, a data Security Storage method for the power distribution IoT is proposed. Firstly, based on the “cloud tube edge end” power distribution IoT structure, a cloud
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Soil Medium Electromagnetic Scattering Model for the Study of Wireless Underground Sensor Networks Wirel. Commun. Mob. Comput. (IF 1.819) Pub Date : 2021-01-04 Frank Kataka Banaseka; Hervé Franklin; Ferdinand A. Katsriku; Jamal-Deen Abdulai; Akon Ekpezu; Isaac Wiafe
In recent years, there has been keen interest in the area of Internet of Things connected underground, and with this is the need to fully understand and characterize their operating environment. In this paper, a model, based on the Peplinski principle, for the propagation of waves in soils that takes into account losses attributable to the presence of local inhomogeneity is proposed. In the work, it
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DSCP: Depthwise Separable Convolution-Based Passive Indoor Localization Using CSI Fingerprint Wirel. Commun. Mob. Comput. (IF 1.819) Pub Date : 2021-01-04 Chong Han; Wenjing Xun; Lijuan Sun; Zhaoxiao Lin; Jian Guo
Wi-Fi-based indoor localization has received extensive attention in wireless sensing. However, most Wi-Fi-based indoor localization systems have complex models and high localization delays, which limit the universality of these localization methods. To solve these problems, a depthwise separable convolution-based passive indoor localization system (DSCP) is proposed. DSCP is a lightweight fingerprint-based
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Measuring the Influence of Web Features in the Online Gamification Environment: A Multimediation Approach Wirel. Commun. Mob. Comput. (IF 1.819) Pub Date : 2021-01-04 Mishal Hasnain Naqvi; Sun Guoyan; Muhammad Hasnain Abbas Naqvi
Considering the increasing importance of user experience and the influence of gamification techniques in the online business environment. This research explores the antecedents and outcomes of user experience in the context of website features. We proposed a multimediation conceptual framework integrating several constructs to test the user response about online gamification. This study used PLS-SEM
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PACR: Position-Aware Protocol for Connectivity Restoration in Mobile Sensor Networks Wirel. Commun. Mob. Comput. (IF 1.819) Pub Date : 2020-12-31 Rab Nawaz Jadoon; Adnan Anwar Awan; Muhammad Amir Khan; WuYang Zhou; Aqdas Naveed Malik
Wireless Sensor Networks (WSNs) have gained global attention in recent times due to their vast applications in various fields. These networks can face the disruption of data transmission due to sensor node failures when placed in harsh, inaccessible, and adverse environments such as battlefields or monitoring in enemy territory. The specific tasks performed by the collaboration among the sensor nodes
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Research on Value Integration Mode of Agricultural E-Commerce Industry Chain Based on Internet of Things and Blockchain Technology Wirel. Commun. Mob. Comput. (IF 1.819) Pub Date : 2020-12-31 Xiaochun Li; Dan Huang
With the development of Internet technology, especially the application of mobile Internet technology in people’s daily lives, people’s lifestyles and production methods have changed, and they have brought huge economic benefits to society. In order to improve the development quality of agricultural e-commerce and expand the integration model of e-commerce, the paper analyzes the development and changes
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LTE-U based Train to Train Communication System in CBTC: System Desin and Reliability Analysis Wirel. Commun. Mob. Comput. (IF 1.819) Pub Date : 2020-12-31 Hao Liang; Hongli Zhao; Shuo Wang; Yong Zhang
Communication-Based Train Control (CBTC) system is a critical signal system to ensure rail transit’s safe operation. Compared with the train-ground CBTC system, the train control system based on train-to-train (T2T) communication has the advantages of fast response speed, simple structure, and low operating cost. As the core part of the train control system based on T2T communication, the reliability
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Performance of Hybrid RF/FSO Cooperative Systems Based on Quasicyclic LDPC Codes and Space-Coupled LDPC Codes Wirel. Commun. Mob. Comput. (IF 1.819) Pub Date : 2020-12-30 Ibrahima Gueye; Ibra Dioum; Idy Diop; K. Wane Keita; Papis Ndiaye; Moussa Diallo; Sidi Mohamed Farssi
Free space optical (FSO) communication systems provide wireless line of sight connectivity in the unlicensed spectrum, and wireless optical communication achieves higher data rates compared to their radio frequency (RF) counterparts. FSO systems are particularly attractive for last mile access problem by bridging fiber optic backbone connectivity to RF access networks. To cope with this practical deployment
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Determining the Image Base of Smart Device Firmware for Security Analysis Wirel. Commun. Mob. Comput. (IF 1.819) Pub Date : 2020-12-28 Ruijin Zhu; Baofeng Zhang; Yu-an Tan; Jinmiao Wang; Yueliang Wan
The authorization mechanism of smart devices is mainly implemented by firmware, yet many smart devices have security issues about their firmware. Limited research has focused on securing the firmware of smart devices, although increasingly more smart devices are used to deal with the very sensitive applications, activities, and data of users. Thus, research on smart device firmware security is of growing
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-Learning-Based High Credibility and Stability Routing Algorithm for Internet of Medical Things Wirel. Commun. Mob. Comput. (IF 1.819) Pub Date : 2020-12-28 Kefeng Wei; Lincong Zhang; Xin Jiang; Yi Guo
With the outbreak of COVID-19, people’s demand for using the Internet of Medical Things (IoMT) for physical health monitoring has increased dramatically. The considerable amount of data requires stable, reliable, and real-time transmission, which has become an urgent problem to be solved. This paper constructs a health monitoring-enabled IoMT network which is composed of several users carrying wearable
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Emotional Dialogue Generation Based on Conditional Variational Autoencoder and Dual Emotion Framework Wirel. Commun. Mob. Comput. (IF 1.819) Pub Date : 2020-12-28 Zhenrong Deng; Hongquan Lin; Wenming Huang; Rushi Lan; Xiaonan Luo
An excellent dialogue system needs to not only generate rich and diverse logical responses but also meet the needs of users for emotional communication. However, despite much work, these two problems have not been solved. In this paper, we propose a model based on conditional variational autoencoder and dual emotion framework (CVAE-DE) to generate emotional responses. In our model, latent variables
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Improved Multiview Decomposition for Single-Image High-Resolution 3D Object Reconstruction Wirel. Commun. Mob. Comput. (IF 1.819) Pub Date : 2020-12-28 Jiansheng Peng; Kui Fu; Qingjin Wei; Yong Qin; Qiwen He
As a representative technology of artificial intelligence, 3D reconstruction based on deep learning can be integrated into the edge computing framework to form an intelligent edge and then realize the intelligent processing of the edge. Recently, high-resolution representation of 3D objects using multiview decomposition (MVD) architecture is a fast reconstruction method for generating objects with
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Beam Pattern Optimization Method for Subarray-Based Hybrid Beamforming Systems Wirel. Commun. Mob. Comput. (IF 1.819) Pub Date : 2020-12-28 Joerg Eisenbeis; Jonas Pfaff; Christian Karg; Jerzy Kowalewski; Yueheng Li; Mario Pauli; Thomas Zwick
Massive multiple-input multiple-output (MIMO) systems operating at millimeter-wave (mmWave) frequencies promise to satisfy the demand for higher data rates in mobile communication networks. A practical challenge that arises is the calibration in amplitude and phase of these massive MIMO systems, as the antenna elements are too densely packed to provide a separate calibration branch for measuring them
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Data-Driven Cybersecurity Knowledge Graph Construction for Industrial Control System Security Wirel. Commun. Mob. Comput. (IF 1.819) Pub Date : 2020-12-28 Guowei Shen; Wanling Wang; Qilin Mu; Yanhong Pu; Ya Qin; Miao Yu
Industrial control systems (ICS) involve many key industries, which once attacked will cause heavy losses. However, traditional passive defense methods of cybersecurity have difficulty effectively dealing with increasingly complex threats; a knowledge graph is a new idea to analyze and process data in cybersecurity analysis. We propose a novel overall framework of data-driven industrial control network
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MFCFSiam: A Correlation-Filter-Guided Siamese Network with Multifeature for Visual Tracking Wirel. Commun. Mob. Comput. (IF 1.819) Pub Date : 2020-12-24 Chenpu Li; Qianjian Xing; Zhenguo Ma; Ke Zang
With the development of deep learning, trackers based on convolutional neural networks (CNNs) have made significant achievements in visual tracking over the years. The fully connected Siamese network (SiamFC) is a typical representation of those trackers. SiamFC designs a two-branch architecture of a CNN and models’ visual tracking as a general similarity-learning problem. However, the feature maps
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Link Budget Analysis for 5G Communication in the Tropical Regions Wirel. Commun. Mob. Comput. (IF 1.819) Pub Date : 2020-12-24 Trilochan Patra; Swarup Kumar Mitra
In the tropical regions, when a signal is transmitted from a transmitter to a receiver, the signal gets highly attenuated because of heavy rainfall. By using different diversity techniques, this signal attenuation is minimized. The multiple-input multiple-output (MIMO) system is an antenna diversity technique, and in this paper, this technique has been applied to the proposed communication link model
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On the Performance of Wireless Video Communication Using Iterative Joint Source Channel Decoding and Transmitter Diversity Gain Technique Wirel. Commun. Mob. Comput. (IF 1.819) Pub Date : 2020-12-23 Amaad Khalil; Nasru minallah; Muhammad Asfandyar Awan; Hameed Ullah Khan; Atif Sardar Khan; Atiq ur Rehman
In this research work, we have presented an iterative joint source channel decoding- (IJSCD-) based wireless video communication system. The anticipated transmission system is using the sphere packing (SP) modulation assisted differential space-time spreading (DSTS) multiple input-multiple output (MIMO) scheme. SP modulation-aided DSTS transmission mechanism results in achieving high diversity gain
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Mobile Data Traffic Offloading through Opportunistic Vehicular Communications Wirel. Commun. Mob. Comput. (IF 1.819) Pub Date : 2020-12-23 Liqiang Qiao
To cope with an exponentially increasing demand on mobile data traffic in cellular network, proximity-based opportunistic vehicular communications can be exploited as a complementary mean to offload and reduce the load of cellular network. In this paper, we propose a two-phase approach for mobile data traffic offloading, which exploits opportunistic contact and future utility with user mobility. The
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Intrusion Detection System for Internet of Things Based on Temporal Convolution Neural Network and Efficient Feature Engineering Wirel. Commun. Mob. Comput. (IF 1.819) Pub Date : 2020-12-23 Abdelouahid Derhab; Arwa Aldweesh; Ahmed Z. Emam; Farrukh Aslam Khan
In the era of the Internet of Things (IoT), connected objects produce an enormous amount of data traffic that feed big data analytics, which could be used in discovering unseen patterns and identifying anomalous traffic. In this paper, we identify five key design principles that should be considered when developing a deep learning-based intrusion detection system (IDS) for the IoT. Based on these principles
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An Efficient ECG Denoising Method Based on Empirical Mode Decomposition, Sample Entropy, and Improved Threshold Function Wirel. Commun. Mob. Comput. (IF 1.819) Pub Date : 2020-12-22 Dengyong Zhang; Shanshan Wang; Feng Li; Shang Tian; Jin Wang; Xiangling Ding; Rongrong Gong
The electrocardiogram (ECG) signal can easily be affected by various types of noises while being recorded, which decreases the accuracy of subsequent diagnosis. Therefore, the efficient denoising of ECG signals has become an important research topic. In the paper, we proposed an efficient ECG denoising approach based on empirical mode decomposition (EMD), sample entropy, and improved threshold function
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Study on Security and Privacy in 5G-Enabled Applications Wirel. Commun. Mob. Comput. (IF 1.819) Pub Date : 2020-12-21 Qin Qiu; Shenglan Liu; Sijia Xu; Shengquan Yu
5G applications face security risks due to the new technology used and the performance requirements of the specific application scenario. This paper analyzes the security requirements and presents hierarchical solutions for stakeholders to build secure 5G applications. First, we summarize the technical characteristics and typical usage scenarios of 5G. Then, we analyze the security and privacy risks
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An Efficient Pairing-Free Certificateless Searchable Public Key Encryption for Cloud-Based IIoT Wirel. Commun. Mob. Comput. (IF 1.819) Pub Date : 2020-12-21 Mimi Ma; Min Luo; Shuqin Fan; Dengguo Feng
The Industrial Internet of Things (IIoT), as a special form of Internet of Things (IoT), has great potential in realizing intelligent transformation and industrial resource utilization. However, there are security and privacy concerns about industrial data, which is shared on an open channel via sensor devices. To address these issues, many searchable encryption schemes have been presented to provide
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High-Precision Mutual Coupling Coefficient Estimation for Adaptive Beamforming Wirel. Commun. Mob. Comput. (IF 1.819) Pub Date : 2020-12-21 Ziang Feng; Guoping Hu; Qichao Ge; Hao Zhou
Here, a high-precision mutual coupling coefficient estimation method is proposed that is more suitable for adaptive beamforming than traditional algorithms. According to the relationship between the designed transition matrix and the signal, the proposed algorithm selects the transition matrix corresponding to the high-power signal. The high-precision estimation of the mutual coupling coefficient is
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Construction of Virtual Reality-Interactive Classroom Based on Deep Learning Algorithm Wirel. Commun. Mob. Comput. (IF 1.819) Pub Date : 2020-12-21 Weijie Chen; Xiaoxi Liu; Lei Qiao; Jian Wang; Yanheng Zhao
The traditional classroom has been impacted by the digital teaching resources. Students are no longer satisfied with the traditional teaching mode of teacher teaching and student learning. Combined with the characteristics of a virtual reality-interactive classroom, the design of a virtual reality-interactive classroom based on the deep learning algorithm is proposed. This paper divides the teaching
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Research on Channel Model and Price Dispersion of E-Commerce Market Based on Blockchain Technology Wirel. Commun. Mob. Comput. (IF 1.819) Pub Date : 2020-12-19 Qifeng Zhang; Fei Liu
In order to accurately predict the channels and prices of the e-commerce market, and thereby control the cost of the e-commerce market, this paper studies the channel model and price dispersion of the e-commerce market from the perspective of suppliers. First, this paper establishes a model to analyze the price dispersion structure under different proportions of informed consumers and theoretically
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Smart Farming: An Enhanced Pursuit of Sustainable Remote Livestock Tracking and Geofencing Using IoT and GPRS Wirel. Commun. Mob. Comput. (IF 1.819) Pub Date : 2020-12-19 Qazi Mudassar Ilyas; Muneer Ahmad
The farmers of agricultural farms manage and monitor different types of livestock. The manual inspection and monitoring of livestock are tedious since the cattle do not stay at fixed locations. Fencing many cattle requires a considerable cost and involves farmers’ physical intervention to keep an eye to stop them from crossing beyond the access points. Visual tracking of livestock and fencing is a
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Wireless Communications and Mobile Computing Blockchain-Based Trust Management in Distributed Internet of Things Wirel. Commun. Mob. Comput. (IF 1.819) Pub Date : 2020-12-19 Fengyin Li; Dongfeng Wang; Yilei Wang; Xiaomei Yu; Nan Wu; Jiguo Yu; Huiyu Zhou
The development of Internet of Things (IoT) and Mobile Edge Computing (MEC) has led to close cooperation between electronic devices. It requires strong reliability and trustworthiness of the devices involved in the communication. However, current trust mechanisms have the following issues: (1) heavily relying on a trusted third party, which may incur severe security issues if it is corrupted, and (2)
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An Authentication Scheme Based on Novel Construction of Hash Chains for Smart Mobile Devices Wirel. Commun. Mob. Comput. (IF 1.819) Pub Date : 2020-12-18 Qinglong Huang; Haiping Huang; Wenming Wang; Qi Li; Yuhan Wu
With the increasing number of smart mobile devices, applications based on mobile network take an indispensable role in the Internet of Things. Due to the limited computing power and restricted storage capacity of mobile devices, it is very necessary to design a secure and lightweight authentication scheme for mobile devices. As a lightweight cryptographic primitive, the hash chain is widely used in
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SK-FMYOLOV3: A Novel Detection Method for Urine Test Strips Wirel. Commun. Mob. Comput. (IF 1.819) Pub Date : 2020-12-18 Rui Yang; Yonglin Zhang; Zhenrong Deng; Wenming Huang; Rushi Lan; Xiaonan Luo
To accurately detect small defects in urine test strips, the SK-FMYOLOV3 defect detection algorithm is proposed. First, the prediction box clustering algorithm of YOLOV3 is improved. The fuzzy C-means clustering algorithm is used to generate the initial clustering centers, and then, the clustering center is passed to the K-means algorithm to cluster the prediction boxes. To better detect smaller defects
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Service Recommendation with High Accuracy and Diversity Wirel. Commun. Mob. Comput. (IF 1.819) Pub Date : 2020-12-17 Shengqi Wu; Huaizhen Kou; Chao Lv; Wanli Huang; Lianyong Qi; Hao Wang
In recent years, the number of web services grows explosively. With a large amount of information resources, it is difficult for users to quickly find the services they need. Thus, the design of an effective web service recommendation method has become the key factor to satisfy the requirements of users. However, traditional recommendation methods often tend to pay more attention to the accuracy of
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An Intelligent Group Decision Evaluation Model with Interval-Valued Intuitionistic Fuzzy Entropy Technology for Microblog User Influence Wirel. Commun. Mob. Comput. (IF 1.819) Pub Date : 2020-12-17 Lihua Zeng; Tonghua Yang; Haiping Ren; Neal Xiong
Aiming at the shortcomings of some existing interval-valued intuitionistic fuzzy entropy, this paper proposes an interval-valued intuitionistic fuzzy entropy, which contains not only the interval distance between membership and nonmembership but also the average hesitancy information. On this basis, the impact evaluation of microblog users is studied. Through the multilevel decomposition of user influence
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A Multiclass Detection System for Android Malicious Apps Based on Color Image Features Wirel. Commun. Mob. Comput. (IF 1.819) Pub Date : 2020-12-16 Hua Zhang; Jiawei Qin; Boan Zhang; Hanbing Yan; Jing Guo; Fei Gao; Senmiao Wang; Yangye Hu
The visual recognition of Android malicious applications (Apps) is mainly focused on the binary classification using grayscale images, while the multiclassification of malicious App families is rarely studied. If we can visualize the Android malicious Apps as color images, we will get more features than using grayscale images. In this paper, a method of color visualization for Android Apps is proposed
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An Accurate Sparse Recovery Algorithm for Range-Angle Localization of Targets via Double-Pulse FDA-MIMO Radar Wirel. Commun. Mob. Comput. (IF 1.819) Pub Date : 2020-12-16 Qi Liu; Xianpeng Wang; Liangtian Wan; Mengxing Huang; Lu Sun
In this paper, a sparse recovery algorithm based on a double-pulse FDA-MIMO radar is proposed to jointly extract the angle and range estimates of targets. Firstly, the angle estimates of targets are calculated by transmitting a pulse with a zero frequency increment and employing the improved -SVD method. Subsequently, the range estimates of targets are achieved by utilizing a pulse with a nonzero frequency
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An Energy-Efficient Silicon Photonic-Assisted Deep Learning Accelerator for Big Data Wirel. Commun. Mob. Comput. (IF 1.819) Pub Date : 2020-12-16 Mengkun Li; Yongjian Wang
Deep learning has become the most mainstream technology in artificial intelligence (AI) because it can be comparable to human performance in complex tasks. However, in the era of big data, the ever-increasing data volume and model scale makes deep learning require mighty computing power and acceptable energy costs. For electrical chips, including most deep learning accelerators, transistor performance
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A Novel Adaptive Directional Interpolation Algorithm for Digital Video Resolution Enhancement Wirel. Commun. Mob. Comput. (IF 1.819) Pub Date : 2020-12-16 Dong Sun; Qingqing Xie; Teng Li; Yixiang Lu; De Zhu; Qingwei Gao
In this paper, a novel digital video resolution enhancement algorithm based on adaptive directional interpolation is proposed, where the directionality of the edge structure and the nonlocal self-similarity prior within the current frame as well as its adjacent frames are both considered. First, we establish the regularization equation that conforms to the prior model of a video frame and then take
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