With the recent advances and wide availability of heterogeneous wireless access technologies, inter-vehicle communication systems are expected to culminate in the integration of different wireless networks based on such standards as 5G/6G, coupling with multimedia and sensor networks for the next generation of connected and autonomous vehicles. However, the high mobility nature of vehicles poses intrinsic

This work presents an innovative display technique, which renders the image displaying capability to the plane of rotation by installing a rectilinear LED array. Basing on the persistence of vision of human eyes, the rotating scan of LEDs generates the stable display of images under the timing control. Because of the cyclic motions during the rotating scan, the timely display control signals have to

Mobile edge computing (MEC) as a new type of computing model can expand the computing power of cloud computing to the edge of radio access network (RAN), which brings a large number of applications close for end user. Compared to traditional cloud computing, computation tasks being offloaded to edge clouds nearby to execute can reduce transmission delay and energy consumption. However, how to select

The technique of beamforming which determines the directionality of array sensors plays an important part in wireless access networks, due to small snapshots and variational signal-to-noise ratio(SNR) in practical applications, the performance of traditional sampling matrix inversion(SMI) beamforming algorithm often degrades drastically. Therefore, an adaptive diagonal loading sampling matrix inversion(ADL-SMI)

With the rapid development of wireless networks, the self-management and active adjustment capabilities of base stations have become crucial. The accurate prediction of wireless network traffic is an important prerequisite for intelligent base stations. Traffic data has a high degree of nonlinearity and complexity, which is characterized by temporal and spatial correlation. Most of the existing forecasting

With the complexity of the 5G network environment and the diversified requirements for video transmission, multimedia content transmission in different channel environments is a direction worth studying in order to achieve good performance of digital media content transmission systems in an open network environment. Based on the code stream structure characteristics of screen content in HEVC, this

Respiratory pattern tracking proved to be critical for many applications ranging from well-being monitoring and stress management to dealing with chronic breathing abnormalities. Specific breathing and meditation exercises have been designed to improve well-being of users based on monitoring the complete breathing waveform. While wearable systems had leveraged a wealth of information available from

Positioning technology of mobile target has become the key of navigation tracking and multi-machine cooperation. Considering the interference of noise and initial error in the process of speed measurement, there are accumulated errors in the long voyage of mobile target dead reckoning. Besides, there exists interference of time-varying signal propagation and line of sight occlusion in wireless sensor

The importance of real-time wireless data transfer is rapidly increasing for Internet of Things (IoT) applications. For example, smart glasses worn by a doctor need to transmit real-time data to a hospital information system, which performs face detection and recognition, for real-time interaction with recognized patients within a certain deadline, which is ideally a few hundred milliseconds. Other

Federated Identity Management schemes (FIdMs) are of great help for traditional systems as they improve user authentication and privacy. In this paper, we claim that traditional FIdMs are mostly cumbersome and then ill-suited for IoT. As a solution to this problem, we came up with Federated Lightweight Authentication of Things (FLAT), namely a federated identity authentication protocol exclusively

The growth of connected vehicles in smart cities increases the number of information being communicated on the Internet of Vehicle networks. This causes wireless channel congestion problems, which degrades the network performance and reliability due to the low throughput, high average delay and the high packets loss. Therefore, this paper proposes a non-cooperative game approach to control congestion

The major trends today show that mobile ad hoc networks (MANETs) are increasingly taking up space in the domestic and corporate market with the growth of numbers of users and new applications. Just as various systems were inspired by the behavior of social insects (ants, bees, among others), fungal colonies also demonstrate potential for bio-inspiration of new protocols for MANETs because they exhibit

The intervention of evolutionary computation methods in studying energy harvesting (EH) techniques in multiple-input-single-output cognitive radio networks (MISO-CRNs) is carefully investigated. In this work, a secondary user (SU) with multiple antennas harvests energy from a hybrid base station (HBS) in addition to harvesting from the primary user (PU) transmission during the downlink time-slot. Hence

Mobile sensor networks (MSNs) have become a research hotspot recently and lead to a wide demand for wireless communication-based applications such as Internet of Things (IoTs), vehicular networks and mobile social networks, etc. However, due to the power limitation of battery and the requirement of real time performance, it is critical to design an effective and efficient neighbor discovery protocol

In scenarios where there is a lack of reliable infrastructures to support car-to-car communications, Unmanned Aerial Vehicles (UAVs) can be deployed as mobile infrastructures. However, the UAVs should be deployed at adequate location and heights to maintain the coverage throughout time as the irregularities of the terrain may have a significant impact on the radio signals sent to distribute information

Considering the ubiquity of WiFi enabled devices and user’s mobility, location privacy within WiFi networks is one of the focus points of many researchers. Preferred Network Lists (PNL), within which devices store a list of names of previously used hotspots - Service Set Identifiers (SSIDs), is transmitted in clear by a portion of devices as a part of WiFi connection protocol. PNL has proven to be

Grant-free access schemes are steadily gaining momentum for emerging machine type communications and internet of things applications. Relying on variations of the classical ALOHA protocol to allow a vast population of users share a common channel in an uncoordinated fashion, these solutions have recently been embedded in international standards as well as proprietary commercial products. In this context

The notion of socially enabled Internet of Things (IoT) termed as Social IoT, emphasized on social interactions among smart objects in an IoT network. Moreover, the concept of speaking and hearing objects further advanced the level of interactions occurring among the IoT devices by empowering them with conversational abilities. Researchers are constantly working to practically realize this vision,

This paper proposes a RSSI quantization and genetic algorithm based localization method. To quantize RSSI measurements from sensor nodes, we first divide sensing disks of nodes into multiple-rings and adopt genetic algorithm based on elitist preservation strategy to determine rings width. Secondly, we calculate the overlapping of rings and construct the mapping between a binary code sequence and the

Unmanned Aerial Vehicles (UAVs) are the upshot of the swift advance in leading fields, such as computing, sensing, communication technologies, etc. Years, the military field served as the sole realm holding UAVs applications. However, the advent of small and mini UAVs brought the coda of such an exclusive use case, and the civilian experience has been pushed up. For higher yield, a swarm of UAVs, aka

Sending data to a sink node is a crucial operation in wireless ad hoc networks serving humanitarian, environmental, industrial, military, or other purposes. While seemingly the inverse of broadcasting, this operation, known as “convergecast”, is more complex, because each node sends different data to the sink. Convergecast should minimize convergence time (i.e., the time at which the root hears from

Recently, Unmanned Aerial Vehicle (UAVs) have been widely adopted to collect data in dangerous or inaccessible areas due to their unique characteristics, including on-demand deployment, flexibility, low-cost, and mobility. However, limited power supply severely restricts the transmission range of a UAV, thus the sensed data needs to be transmitted to the ground control station (GCS) with the help of

Wireless networked control systems (WNCSs) require the design of a robust scheduling algorithm that meets the stringent timing and reliability requirements of control systems, despite the limited battery resources of sensor nodes and adverse properties of wireless communication for delay and packet errors. In this article, we propose a robust delay and energy constrained scheduling algorithm based

Currently, numerous proprietary communication technologies are used by emergency response personnel to ensure uninterrupted coordination and effective situational awareness, especially when the telecommunication infrastructure gets damaged or destroyed. Affected victims and bystanders, however, lack access to such equipment and are thus deprived of information and unable to reach for help. To ameliorate

Considering both channel quality and stability may enhance the likelihood of optimum channel decision for stream-based communication. Good quality stable channels may maintain a particular quality level during data stream transmission and thereby minimize channel switching overheads such as switching delay, energy consumption, and the associated data loss. Among the published multichannel MAC protocols

Blocking of new arriving services and dropping of ongoing services are inherent problems in Cognitive Radio Networks (CRNs), which need to be addressed to enhance spectrum efficiency. In particular, Secondary Users (SUs) undergo service degradation in the face of Primary Users (PUs)’ arrivals. In this paper, we present a scheme called Efficient Spectrum Utilization (ESU) that reduces the dropping and

In this paper we study resilience of TDMA-based wireless sensor networks to node failures. We investigate exploiting mutlicast routing for providing redundancy in the number of gateways used by data streams, so as to protect them against gateway failures. To do this, we develop an optimization model aiming at packet traffic throughput maximization composed of three mixed-integer programming problem

Safety-related applications in Vehicular Ad-hoc Networks (VANETs) can help to reduce the number of traffic accidents by periodically broadcasting Basic Safety Messages (BSMs). But considering that the density and topology of VANET change frequently, the Quality of Service (QoS) of safety applications with the fixed transmission parameters would not always meet the requirements of safety-related applications

In this paper, we propose two resource allocation schemes for slotted ALOHA wireless powered communication networks (WPCNs) with channel aware energy harvesting users (EHUs) in Nakagami-m fading channels. Both schemes guarantee proportionally fair (PF) resource sharing among the EHUs. The resource allocation schemes determine the duration of the energy harvesting phase, the access probability, the

The Wireless Sensor Networks(WSNs) is promising technology toward the Internet of Things(IoTs). Therefore, the routing protocols of WSN should be able to achieve real-time, reliability, which are typical requirements for IoT applications. In the literature, many multipath routing protocols are exploited to achieve the requirements, however, they have the constraints of energy consumption and scale

Data gathering is the fundamental task of Wireless Sensor Networks (WSNs). Making a balance between the energy consumption of sensors and the data gathering delay is considered as an important concern in this regard. Finding a solution to this issue becomes more challenging in the presence of obstacles in the field. The present study proposes an effective algorithm for Data Gathering in WSNs with OBstacles

Flying ad-hoc networks enable vast of IoT services while maintaining communication among the ground systems and flying drones. The domain research is focusing on flying networks assisted data centric IoT applications while integrating the benefits and services of aerial objects such as unmanned aerial vehicle and drones. Considering the growing market significance of drone centric flying networks,

In a WSN, sensor node plays a significant role. Working of sensor node depends upon its battery's life. Replacements of batteries are found infeasible once they are deployed in a remote or unattended area. Plethora of research had been conducted to address this challenge, but they suffer one or the other way. In this paper, a particle swarm optimization (PSO) algorithm integrated with an energy efficient

IoT promises a new era of connectivity that goes beyond laptops and smart connected devices to connected vehicles, smart homes, smart cities and connected healthcare. The huge volume of data that is collected from millions of IoT devices raises information security and privacy concerns for users. This paper presents a new scalable encryption technique, called Flexible encryption Technique (FlexenTech)

In recent years, wrist-worn smart devices such as smart wrist band and smart watch have pervaded our everyday life. Under this trend, the security issue of these wearable devices has received considerable attention as these devices usually store various private information. Conventional methods, however, do not provide a good user experience because they either depend on a secret PIN number input or

Full-duplex radio is a next-generation wireless communication technology, because it allows signals to be sent and received simultaneously within the same channel by cancelling self-interference signals. Thus, many full-duplex medium access control (MAC) protocols have been proposed to utilize the full-duplex radio. For backward compatibility with legacy stations (STAs), most of them operate based

Traffic prediction on the road, as a vital part of the Intelligent Transportation System (ITS) has attracted much attention recently. It is always one of the hot topics about how to implement an efficient, robust, and accurate vehicular traffic prediction system. With the help of Machine Learning-based (ML) methods, especially Deep Learning-based (DL) methods, the accuracy of the prediction model is

In order to enhance the capacity and extend the lifetime of nodes for green Internet of Things (IoT), the non-orthogonal multiple access (NOMA) is applied to cognitive orthogonal frequency-division multiplexing (OFDM) systems, along with simultaneous wireless information and power transfer (SWIPT). Firstly, an uplink SWIPT-based cognitive OFDM-NOMA system model is proposed where the power splitting

The recent technological evolution of drones along with the constantly growing maturity of its commercialization, has led to the emergence of novel drone-based applications within the field of wireless sensor networks for information collection purposes. In such settings, especially when deployed in outdoor environments with limited external control, energy consumption and robustness are challenging

Device-to-Device (D2D) communication allows for users placed in a cell to establish direct connections with each other using several connection modes. In this paper, we propose Multi-Path D2D (MPD2D), a mathematical optimization framework that accounts for the availability of D2D modes under the requirements dictated by a process of flow requests. MPD2D selects the combination of cellular and D2D links

Routing in Vehicular Ad Hoc Networks (VANETs) is a challenging problem. While geographic routing protocols are preferred for VANETs due to their scalability, they are focused on finding next-hop nodes closer to the destination without considering their current load or network traffic. In addition, routing decisions based on only one-hop neighbors information might be less optimal since they do not

Trust management is an effective technique for dealing with malicious and compromised nodes in Wireless Sensor Networks (WSNs). It has demonstrated its benefits in various issues such as secure cluster head (CH) election, secure localization, secure routing and misbehavior detection. This work presents a secure CH election algorithm and a misbehavior detection approach. Multiple metrics were used for

The nodes in mobile wireless sensor networks (MWSNs) are usually with limited hardware resources, which leads to the limitation of transmission range and energy. To extend the communication distance of a single sensor node, distributed collaborative beamforming (DCB) based on a virtual node antenna array (VNAA) can be used in MWSNs. The locations and excitation current weights are the key factors that

With the development of Internet of Things(IoT), the demands for communication spectrum have increased rapidly, resulting in the shortage of limited spectrum resources. Cognitive IoT (CIoT) based on cognitive radio (CR) can improve the spectrum utilization by accessing the idle spectrum licensed to a primary user (PU). In this paper, a multichannel spectrum access scheme based on reinforcement learning

Due to enormous amount of data in emerging Internet of Things (IoT) applications, congestion control of traffic flow is very important to achieve certain level of security and Quality of Service (QoS). In the case of a congested network, the data is vulnerable of packet drop and loss, and so that the data integrity, which is a vital security issue, is degraded though it is accidental and not intentional

During the last decade, the Wireless Sensor Networks have been considered as a broad solution for Internet of Things (IoT) based systems such as noise and air pollution monitoring systems. These systems should be able to monitor the physical variables regularly and simultaneously, to react immediately upon the occurrence of an emergency, and to report the event and its associated data to an observer

RF Mesh technology is currently one of the most used in North America for smart grid communications where reputable companies such as Itron and Landys&Gyr are setting up their smart meters with RF Mesh radios. The overall performance of radio frequency (RF) Mesh network communications depends in high measure on the positions of key devices in RF Mesh network such as routers and collectors. With this

The paper is based on the study of the performance of a Dynamic Adaptive Streaming over HTTP (DASH) system in the context of 3D video streaming, using different scenarios and network conditions, specifically with bandwidth variations. The objective is the development of a framework for the evaluation of QoE in 3D adaptive video streaming scenarios, which allows to analyze the impact on the user's Quality

In mobile wireless sensor networks, two major issues are energy consumption and area coverage. To reduce the energy consumption of mobile wireless sensor networks, an efficient sensor movement is essential. But it is quite challenging to make equilibrium between energy consumption and the total area covered by the sensors. This article presents a Movement Score based Limited Grid-mobility approach

The k-coverage and m-connected sensor placement problem in target-based wireless sensor networks (WSNs) is assessed here, where all target points must be covered by at least k sensor nodes and all senor nodes must be connected to the sink through at least m separate paths. The potential positions for placing sensor nodes are pre-specified. A new method based on the imperialist competitive algorithm

Indoor Localization Technology (ILT) based on Wi-Fi network has been rapidly developed with high localization accuracy and low hardware requirements. Collecting the Received Signal Strength (RSS) samples to construct the fingerprint database, however, is time consuming and labor intensive, hindering the application of the technology. An Indoor Localization Method is proposed based on Co-Forest and

Now the Industrial Internet of Things (IIoT) devices can be deployed to monitor the flow of data, the source of collection and supervision on a large scale of complex networks. It implements large networks for sending and receiving data connected by smart devices. Malware threats, which are primarily targeted at conventional computers linked to the Internet, can also be targeted at IoT machines. Therefore

Along the last years, we have witnessed the growing demand for services, applications, and systems that depend on the specific location of both people and a variety of things and gadgets. Currently, the Global Positioning System (GPS) offers good accuracy on-location services around the world. Nevertheless, it does not work efficiently on applications that require several small, cheap, and low power

The network localization problem with convex and non-convex distance constraints may be modeled as a nonlinear optimization problem. In the existing localization techniques, the non-convex distance constraints are either removed or relaxed into convex constraints to use the convex optimization methods like semi-definite programming, least square approximation, etc. for solving the problem. We use the

With the emergence of ever-advancing network threats, the guarantee of system security becomes increasingly crucial, especially in the dynamic and decentralized ad-hoc networks. One essential part of cybersecurity is intrusion detection, which identifies anomalous activities according to traffic patterns. However, the class-imbalanced data have caused a challenging problem where the number of abnormal

Recent spectrum measurements show that geo-location spectrum databases are inaccurate in Metropolitan areas by missing a large number of TV white spaces (TVWS). To counter this challenge, this paper introduces a crowd-augmented spectrum database, whose spatial resolution and accuracy are continuously and opportunistically augmented by the spectrum sensing data from the crowd of mobile users. To augment

Heterogeneous network (HetNet) is a promising solution to satisfy the unprecedented demand for higher data rate in the next generation mobile networks. Different from the traditional single-layer cellular networks, how to provide the best service to the user equipments (UEs) under the limited resource is an urgent problem to solve. In order to efficiently address the above challenge and strive towards

The latest advances in the Internet of Vehicle (IoV) networks, and Software Defined Radio (SDR) enabled spectrum sharing between anonymous users. Such enablement raised many concerns in regards to the system’s security and privacy. Therefore, there is a desperate need for transformative solutions to ensure wireless communication security against eavesdropping attacks. This paper presents a novel Moving-target

Understanding the multicast delay performance of mobile ad hoc networks (MANETs) lays the foundation for multicast-intensive applications in future highly heterogeneous wireless network environments. This paper explores, for the first time, the multicast delay performance of MANETs under a general cooperative multicast scheme for routing protocol. The multicast scheme is based on two-hop relay multicast