With the development of 5G communication technology, the Internet of Things technology has ushered in the development opportunity. In the application of Internet of Things, spatial and social relations can be used to provide users with convenience in life and work, meanwhile there is also the risk of personal privacy disclosure. The data transmitted in the wireless network contains a large number of

The interest in Mobile Wireless Sensor Networks (MWSN) has grown considerably due to its various applications in the fields of military, industrial infrastructure, automation, health, traffic, and many consumer areas. Hence, as the modern world shifting to the age of IoT with possibly new emerging technologies and applications, there will be a number of implications that influence the design and deployment

To facilitate the research of dynamic spectrum access, 5G, vehicular networks, underground wireless communications, and Radio Frequency Machine-Learning, a city-wide experimental testbed is developed to provide realistic radio environment, standardized experimental configurations, reusable datasets and advanced computational resources. The pilot testbed contains 5 cognitive radio sites, and covers

This paper aims to optimize the different network parameters in a distributed manner for delay-constrained flying ad hoc networks (FANETs) without the global network topology information. To this end, each Unmanned Aerial Vehicle (UAV) calculates the average interference level during a certain time period to indicate the channel states. Next, we formulate the distributed optimization problem as a utility

Multimedia transport over Wireless Sensor Networks (WSN) has been a challenging task due to the limited available resources of such networks. The capability of Multipath routing to balance and distribute the load of a given flow on different disjoint non correlated paths is a viable solution to ensure the required high throughput. Moreover, operating the WSN under a duty-cycle mode reinforces the challenge

The Constrained Application Protocol (CoAP) is gaining attention as a standardised RESTful interface for the Internet of Things (IoT). Recent studies have focused on different congestion control strategies for CoAP, in order to ensure proper operation of large-scale IoT deployments. In this paper, we carry out a performance evaluation of different congestion control policies for CoAP in a realistic

Spectrum sensing is a key technique for future intelligent networks, such as AdHoc network, wireless sensor networks. However, the existing works suffer from high computational complexity, which is a huge challenge for those networks composed of many nodes with the limited computing capabilities. In this paper, we propose a simple and novel method based on the generalized likelihood ratio test(GLRT)

High-efficiency Access network selection algorithms are crucial to ensure Quality of Service (QoS) and Quality of Experience (QoE) in heterogeneous networks environment. Hereby, an intelligent access network selection algorithm based on multiple attribute decision making (MADM) is proposed in this paper. First, considering the special characteristics of cognitive wireless networks, a cross-layer network

Multi-hop broadcasting in Vehicular Ad Hoc Network (VANET) is the basic building block for renovating on-road travel experiences because it supports message dissemination among a large number of travelers in real-time. In order to make forwarding decisions, 1-hop neighbor table is suggested to be maintained at each vehicle by exchanging beacon packets on a periodic basis. However, a network crowded

Wireless rechargeable sensor networks are widely used in many fields. However, the limited battery capacity of sensor nodes hinders its development. With the help of wireless energy transfer technology, employing a mobile charger to charge sensor nodes wirelessly has become a promising technology for prolonging the lifetime of wireless sensor networks. Considering that the energy consumption rate varies

The Internet of Things (IoT) paradigm envisions billions of interconnected things. This high density of things generates a huge amount of data, which results in communication delays and increases the amount of contention. Thus, it is necessary to have efficient Medium Access Control (MAC) protocols to coordinate channel access. In this paper, we consider a network throughput maximization problem in

In this paper, a physical layer security based secure routing problem in a multi-hop cognitive radio enabled device-to-device (CRD2D) communication, under the threat of multiple randomly distributed eavesdroppers (EVEs), is studied. Delivery of confidential packets between a given legitimate D2D transmitter–receiver pair is targeted with the aid of multiple intermediate legitimate D2D nodes that share

The dynamic nature of vehicular ad hoc network (VANET) induced by frequent topology changes and node mobility, imposes critical challenges for vehicular communications. Aggravated by the high volume of information dissemination among vehicles over limited bandwidth, the topological dynamics of VANET causes congestion in the communication channel, which is the primary cause of problems such as message

Multi-hop and multi-sink wireless sensor networks have the potential to provide network performance through efficient data exchanges. In multi-sink phenomena, clusters of nodes are defined using distance vector and thereby specific node that lies at the center of the cluster is identified as a sink. The performance of multi-hop and multi-sink wireless networks is significantly affected by sink node

Deep learning has achieved great success in many computer vision tasks, such as recognition, image enhancement and image compression. However, it is difficult to use a residual network that can efficiently consider the characteristics of multispectral images for multispectral image compression. In this paper, a novel end-to-end multispectral image compression framework based on a weighted feature channel

The device-to-device (D2D) communications effectively reduce the load of base station and solves the problem of communication resource shortage. Thanks to the relay-assisted communication technology, D2D can expand the coverage and improve the reliability. But there may not be sufficient relay users to match each D2D user. On the other hand, in order to save the user resources, reduce energy consumption

One of the main challenges in urban development faced by large cities is related to traffic jam. Despite increasing efforts to maximize the vehicle flow in large cities, to provide greater accuracy to estimate the traffic jam and to maximize the flow of vehicles in the transport infrastructure, without increasing the overhead of information on the control-related network, still consist in issues to

Intelligent manufacturing needs the flexible and reconfigurable manufacturing systems to respond to dynamic market demands rapidly, which requires the underlying information systems (e.g., industrial wireless sensor networks) to provide reconfigurability. The Relay Node Placement (RNP) problem has aroused great attention due to its significant influence on network performance. However, existing works

In this work, we investigate the problem of lifetime optimization for partial coverage in heterogeneous sensor networks. This problem which is NP-Hard in its general form is known under the name of α-coverage, where α refers to a prescribed level of coverage threshold that we need to maintain. Sleep-Awake scheduling which turns sensors to On and Off, is the common and the well known technique that

Vehicular Ad-hoc Networks (VANETs) have been widely recognized as one of the most promising technologies to deliver data between vehicles to support various vehicular applications. In environments of VANETs with the feature of frequent network dynamics due to high mobility of vehicles, geographic routing is considered as an attractive approach because it can send data to a destination vehicle by using

In Cognitive Radio networking, the blind rendezvous problem is when two or more nodes must establish a link, but where they have no predefined schedule or common control channel for doing so. The problem becomes more challenging when the information about the existence of other nodes in the network, their topology, and primary user activity are also unknown, identified here as a fully blind rendezvous

Simulations are the first approach to test ITS applications due to the difficulties involved in deploying real test scenarios. In addition to the use of detailed network simulators, realistic vehicular movements are key to guarantee reliable results. SUMO is one of the tools most used to generate synthetic traces of vehicles for this objective. In this paper, a qualitative review of the five traffic

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 5 G 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

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

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 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

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

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

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

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

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

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

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 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

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

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

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

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

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 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

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 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

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

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

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

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

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)

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

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

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,

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

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

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