Advancement in technology with the proliferation of new wireless communication protocols gave rise to the new era of ubiquitous computing, called Internet of Things (IoT). IoT facilitates connectivity between various heterogeneous physical devices through the internet to advantage users with intelligent and more advanced services. Effective utilization of these services demands a secure system where

As a potential solution to relieve traffic congestions and help build a more safe traffic system, traffic flow prediction methods are given much attention in recent years. In previous studies, it can be found the machine learning (ML)-based methods are widely used in volume predictions of single roads. However, when applied in a more complicated road network, they usually show low efficiency and need

This paper addresses the performance evaluation of a centralized cooperative spectrum sensing scheme under the effect of different impulsive noise environments; the generalized likelihood ratio test (GLRT). Impulsive noise (IN) is considered the most prevailing factor for the deterioration of any communication system performance. We propose weighting sample fusion schemes. The likelihood ratio test

Fog Computing is a promising networking paradigm enabling the nodes at the edge to share computational and storage resources. Being pervasively distributed, Fog Nodes are often battery powered and, for this reason, an efficient energy management should be considered to prolong network lifetime. In this paper, we introduce a smart energy management solution able to exploit information about the predicted

Access management poses a significant challenge within the Internet of Things (IoT) given the constrained capabilities in terms of computing, memory, storage, bandwidth and energy available for most of the low-cost devices and things embedded in the physical world. In this scenario, Edge Computing can be considered a powerful opportunity to solve authorization issues, deploying edge devices near IoT

The Internet of Medical Things (IoMT)-enabled e-healthcare can complement traditional medical treatments in a flexible and convenient manner. However, security and privacy become the main concerns of IoMT due to the limited computational capability, memory space and energy constraint of medical sensors, leading to the in-feasibility for conventional cryptographic approaches, which are often comput

The paper designs and invents internet of things platform of One-Key for Help APP based on the mobile intelligent terminal (MIT) for the risk response of one-key for help, information for help, SMS for assistance, phone for support, map phone for advantage, voice message for help and video for aid. For Government Emergency Rescue Department (GERD), the platform is preset with China’s 110 police system

The traffic burden at each node in Internet-of-Things (IoT) communication networks becomes prohibitively high especially when involving exhaustive computation. Mobile edge computing (MEC) makes this complicated computation feasible while alleviates the traffic burden by providing the corresponding node with powerful computing resources through wireless transmission between the node and the MEC for

The Internet of Things is a highly integrated and integrated application of information technology that can better meet the needs of people’s development. With the popularity of the Internet of Things, the number of Internet of Things devices has increased, and the communication between devices and devices has become more complicated. Because the Internet of Things has some common problems with the

The manufacturing industry undergoes a new age with major changes taking place on several fronts. Companies devoted to digital transformation take their future plants inspired by the Internet of Things (IoT). The IoT is a worldwide network of interrelated physical devices,which is an essential component of the internet, including sensors, actuators, smart apps, computers, mechanical machines, and people

Due to the irreplaceable advantages of 5G communication technology, there is no need to carry out complex bridge and wiring works in the construction of the network structure of smart buildings It is convenient and flexible to install, easy to expand and transform. This paper uses the special advantages of 5G-communication technology to apply 5G communication technology to intelligent buildings. This

In Radio Frequency Identification (RFID) systems, the reader identifies tags through communications over a shared wireless channel. However, when multiple tags transmit their IDs simultaneously, their signals collide, thereby prolonging the identification delay. However, in some applications, the RFID system has the availability of a database containing the IDs of all the tags that may possibly appear

Nowadays, wearable techniques are widely used in the Internet of Things (IoT). The discussed IoT devices are used in various applications such as smart home, security management, education institutions and so on. Among the various application, IoT devices are used widely in health care application for reducing the risk factors. So, in this paper, introduces the wearable sensors based on the Internet

In this paper, we propose a Kalman Trust Estimator (KATE) to check misbehaviour by the drones in Internet of Drones. Internet of Drones is a Flying Ad Hoc Networks connected to internet is a wireless mobile network of energy constrained devices deployed in a high multidimensional free space. This leads to small neighbourhoods and high temporal variation of drone density. IoD is characterized by drones

How to allocate vocal teaching system resources plays an important role in improving the performance of vocal teaching systems. With the development of mobile edge computing, the calculation and storage of resource data can be adapted to the operating needs of vocal teaching systems. This study proposes a method of system resource allocation based on power iteration and sets the throughput of the unloading

We discuss security definitions, entropy measures and cryptographic constructions associated with the recently proposed implicit data integrity methodology. Such methodology is applied in order to detect data corruption without producing, storing or verifying mathematical summaries of the content such as Message Authentication Codes (MACs) or checksums. The main idea is that, whereas typical user data

Achieving full autonomy in navigation is a complicated problem. The most widely used solution takes up the modular framework for sensing and information processing such as perception, mapping, control, planning and decision making. However, this approach misses the capability of environmental understanding. Hence, to achieve full autonomy in navigation a computing model with self-learning capability

In this paper, we propose a novel integrated approach for designing survivable off-line Elastic Optical Network (EON) to minimize energy consumption and spectrum requirement. Single link failure recovery is ensured by applying multipath based routing and spectrum allocation (RSA). The RSA problem to minimize spectrum utilization is a NP-Hard one. Integer Linear Programming model is formulated for survivable

The combination of Internet of things (IoT) system and satellite wireless communication technology is the main means of the application of IoT technology. Due to the limitation of the objective conditions of wireless communication technology, there are many problems in its application. So it is imperative to optimize its communication mechanism. This paper analyzes the characteristics and key technologies

Cloud computing has been employed for supporting storage and handling of Internet of Things (IoT) data. There is an increasing demand for IoT framework to provide services with fast processing time and less delay to offer latency sensitivity real-time applications like disaster management in smart homes. IoT process is mostly comprised of scheduling techniques that makes it hard to self-adapt, self-configure

LoRa, a Low Power Wide Area Network (LPWAN) technology, demands reduced network infrastructure to cover a large area, with low power consumption. In the context of vehicular communications, LoRa has the potential to support monitoring and cooperative navigation applications, where small amounts of data can be transmitted asynchronously through the network. Nevertheless, the literature lacks evaluations

As Web 2.0 is transforming into a more systematized Semantic Web, there is an urgent need for semantic compliant techniques for web search. In this paper, the OntoBestFit has been proposed which is an RDF driven approach for minimizing ambiguity in search results and increasing the diversity of results, thereby solving both the context irrelevance and the serendipity problem. OntoBestFit focuses on

The closed-loop latency quality of service (QoS) provisioning for tactile services is a pending problem. Based on martingale theory, this paper studies the bandwidth abstraction and service rate instantiation under closed-loop latency constraint for the tactile slice. The demanded bandwidth for arrivals is abstracted by considering the complex features of arrival traffic. The uplink delay is mapped

Wireless body area networks (WBAN) is a novel paradigm that is gaining popularity in a scenario of current wireless communication systems. It plays an essential role in healthcare applications like remote monitoring of health data. For instance, the crucial and confidential data about the condition of the patient’s physical health can be gathered and transferred through WBAN. Therefore, authentication

In this paper, the technical aspects of big data processing of multimedia communication are deeply studied. Firstly, we propose a cloud implementation method of radial basis function neural network which is based on Map-Reduce on cloud computing cluster. Secondly, in order to meet the needs of big data processing of multimedia communication, the map-Reduce-based error back-propagation algorithm is

Tourism favors more economic activities, employment, revenues and plays a significant role in development; thus, the improvement of this activity is a strategic task. In this work, we show how social sensing can be used to understand the key characteristics of the behavior of tourists and residents. We observe distinct behavioral patterns in those classes, considering the spatial and temporal dimensions

Industrial Internet of Things (IIoT) is a non-negligible subset of IoT, which focuses on solving special requirements in industrial applications. In IIoT environments, remote monitoring based on wireless sensor networks (WSNs) is an important application instance, which facilitates the user like professional to manage the factory remotely. The sensitive data collected from industrial sensor nodes is

In heterogeneous networks (HetNets), how to improve spectrum efficiency is a crucial issue. Meanwhile increased energy consumption inspires network operators to deploy renewable energy sources as assistance to traditional electricity. Based on above aspects, we allow base stations (BSs) to share their licensed spectrum resource with each other and adjust transmission power to adapt to the renewable

As an important means to promote the territorial spatial planning system, the control of rural ecological space at watershed scale is of great significance for rural revitalization aimed at sustainable development and ecological environmental protection. Taking Sanshui River Basin in Xunyi as the research area, the paper applies the redline zoning method which integrates ecological sensitivity with

Wireless Body Area Networks (WBANs) are one of the special branches of Wireless Sensor Networks (WSNs) that attract attention in various disciplines such as health, engineering, biology, and computers. Also, WBANs are an important research area that can contribute to human life and health in many ways. The Software-Defined Networking (SDN) approach is a solution that can make simpler, flexible, manageable

Several works have studied relaying in cognitive radio networks in terms of outage probability. The main challenge in such works is finding a mathematical expression for this performance metric under different system models. This expression can be employed in studying and designing more related systems. In this paper, we consider an underlay cognitive communication system, where each of the primary

Peer-to-peer (P2P) energy markets are gaining interest in the energy sector as a means to increase the share of decentralised energy resources (DER), thus fostering a clean, resilient and decentralised supply of energy. Various reports have touted P2P energy markets as ideal use case for blockchain-technology, as it offers advantages such as fault-tolerant operation, trust delegation, immutability

The entire computing paradigm is changed due to the technological advancements in Information and Communication Technology (ICT). Due to these advancements, various new communication channels are being introduced, out of which the Internet of Things (IoT) plays a significant role. The Internet of Medical Things (IoMT) is a special category of IoT in which the medical devices communicate with each other

Nowadays, we are in a typical information age, and network and information security systems are facing severe challenges. However, there is currently no suitable method for the detailed analysis and protection of Internet information security. In order to analyze Internet security information more accurately, we proposed an improved KPCA (Kernel Principle Component Analysis) algorithm within the context

This paper presents G-WHARP, for Green Wake-up and HARvesting-based energy-Predictive forwarding, a wake-up radio-based forwarding strategy for wireless networks equipped with energy harvesting capabilities (green wireless networks). Following a learning-based approach, G-WHARP blends energy harvesting and wake-up radio technology to maximize energy efficiency and obtain superior network performance

Most sensors have been taken up, which resulted in a massive data size, with the continuously growing IoT (Internet of Things) devices and communications infrastructure in development. The inspection of the manufacturer to identify product defects is one of the most common examples. In order to develop an effective inspection system with greater precision, this paper has been proposed a Fog Computing

Remote monitoring of wireless networks based on artificial intelligence can build sensitive anomaly recognition mechanisms, automated event analysis engines and accurate global operation and maintenance capabilities for wireless network defense. Firstly, a simple camera is used to realize real-time acquisition and wireless transmission of video signals based on software-based MPEG-4 compression coding

The use of LED-to-camera communication opens the door to a wide range of use cases and applications, with diverse requirements in terms of quality of service. However, while analytical models and simulation tools exist for all the major radio communication technologies, the only way of currently evaluating the performance of a network mechanism over LED-to-camera is to implement and test it. Our work

New routing strategies are urgently needed to control exploding traffic and provide precise routing for the next-generation complex network. Traditional routing methods cannot satisfy its routing requirements of this complex traffic control situation. One of the important reasons is that it does not consider learning from traffic features. Using deep learning method to predict routing path is an emerging

Aiming at the characteristics of high-density and random deployment of 5G cellular networks, through efficient network-level deployment methods, the network can quickly and efficiently adapt to large-scale dynamic changes in user traffic. Aiming at the need for 5G systems to meet the requirements of high-speed mobile environment communications, this paper deeply studies the factors that affect communication

Compared with traditional wired networks, wireless sensor networks(WSN) have the characteristics of low cost and rapid deployment, and also guarantee the same level of fault tolerance as wired networks. The WSN can also monitor the operating status of the power grid in real time, collect physical information such as related parameters, and provide more comprehensive and complete power grid operation

Dynamic monitoring of blood oxygen saturation value is an important method for the prevention and treatment of chronic cardiovascular disease. In order to meet the design requirements of wearable mobile medical, this paper uses the main controller to read, filter, and calculate pulse rate and blood oxygen value, and saturate the pulse signal and blood oxygen through the Bluetooth low-power module.

Recently, wearable sensor technology plays an important role in observing the physiological vitals from human body and providing support for analyzing the health conditions. It is a combination of communication technology and sensing system to view and collect the changes of vital signs in human body. Data collection and analyzing are important task for health monitoring and diagnosis in medical applications

With the emergence of a large number of computation-intensive and time-sensitive applications, smart terminal devices with limited resources can only run the model training part of most intelligent applications in the cloud, so a large amount of training data needs to be uploaded to the cloud. This is an important cause of core network communication congestion and poor Quality-of-Experience (QoE) of

In order to improve the communication rate of the cyber–physical fusion system, and at the same time guarantee the quality of system demand of each user, a CPS (Cyber–Physical Systems) communication resource allocation algorithm based on cooperative game was first proposed. The resource allocation process of the orthogonal frequency division multiple access network downlink in CPS is modeled as a cooperative

Measurement bias or drift often occurs after long-term use of the sensor. Measuring faults will inevitably mislead the control system, making the goal of advanced control strategies impossible. To this end, this paper proposes an artificial intelligence diagnosis method based on wavelet neural network for the diagnosis of sensor faults. Wavelet analysis is used to extract the frequency domain features

Intelligent industrial production has recently emerged as an important trend for application of the Industrial Internet of Things (IIoT) in edge computing. This study applied remote edge devices and edge servers, preprocessing the signal sensor, through covert data to cloud storage, and loaded the data to propose several deep learning methods to assess the status of aircraft engines in operation, and

Collision is a key factor to be considered in the design of a communication system for unmanned vehicles, especially when they do extreme surveillance. Collisions can be avoided by establishing efficient vehicle-2-vehicle (V2V) and vehicle-2-infrastructure (V2I) communications through the Internet of Vehicles (IoV). Recently, software defined cognitive radio (CR) based IoV has emerged as a potential

The development of new technologies and transportation modes is a crucial component for improving urban mobility. For instance, researchers have shown that vehicular networks are a promising technology to monitor and reduce traffic jams. Nevertheless, most of these solutions rely on costly external infrastructures, such as roadside units or cellular networks. In this work, we propose DisTraC, a protocol

To study the event importance and their role in the system fault evolution process (SFEP), and the possibility of fault mode, the analysis methods of event importance and possibility of fault mode are proposed. This paper is the series of research in related fields including four methods. The event importance in fault process to fault evolution is studied from fault mode. Change to Field theory is

Traffic Management Systems become an important challenge for large cities due to the constant growth of vehicles. As the road mesh does not increase as well as the number of vehicles in the streets, technological solutions for the traffic congestion rise as alternative and easy-to-use applications. This work presents the ON-DEMAND: An adaptive and Distributed Traffic Management System using VANETS

UAVs are being widely deployed in security and surveillance applications around the world. Due to deployment in remote environments and also due to limited resources on these devices, they are susceptible to device capture and physical tampering attacks. This heightens the risk of sensitive data stored in the UAVs to be captured by adversaries. To address this issue, a two-stage lightweight mutual

Health is wealth. Thus, it is very important to keep it healthy all the time for sustenance of human livelihood. Last decade has witnessed a number of digital developments, including sensors, microcontrollers, communication paradigm, and smarter societal need. Internet of Things (IoT) has pushed the human race toward harnessing of truly digitized e-healthcare services mainly by relying over the biosensors

The dynamic strain monitoring system is an important means to reflect the deformation and evolution of the structure in the field of traffic and transportation visually. The exact measurement of dynamic strain measurement system is inseparable from the traceability system of high-precision strain gauge. In this paper, the resistance strain monitoring system installed on the web surface of the main

The building structure maintenance and safety monitoring system has become an important guarantee of building structure safety. The service life of conventional large-scale buildings is usually fixed in hundreds of years, while the sensor life of the corresponding structural health monitoring (SHM) system can only be maintained in more than ten years or even shorter. Therefore, it is very important

In recent years, knowledge graphs have received considerable attention because of their ability to express rich information and their potential for use in knowledge-based reasoning. For example, they can assist in-depth knowledge discovery related to user associations, switching policies, and traffic content in mobile services. Knowledge graph embeddings project the entities and relations of knowledge

The research on mobile sink groups such as platoons in battlefields and firefights in disaster areas have been actively studied as a challenged and interesting issue in wireless sensor networks. For supporting mobile sink groups, the formation of effective data storage is one of the important design factors for energy-efficient and reliable data delivery to them by considering their mobility. Various

Secure quantum key agreement schemes should satisfy four security features, namely correctness, security, privacy, and fairness. Recently, Cai et al. (2018) used five-qubit Brown states to propose an efficient and flexible multi-party quantum key agreement scheme. We review and analyze the security of their protocol and we prove its inability to secure the private information of participants against

In this article, unmanned aerial vehicle (UAV) as a half-duplex decode-and-forward (DF) relay constructs a reliable link between the indoor user and the outdoor base station (BS) in an emergency scenario. During the outdoor–indoor signal propagation, the signal passing through the wall accelerates signal fading makes the signal fading model for outdoor communication not applicable to outdoor–indoor