The evolving 5G and beyond 5G (B5G) wireless technologies are envisioned to provide ubiquitous connectivity and great heterogeneity in communication infrastructure by connecting diverse devices and providing multifarious services. Recently, the Internet of Things (IoT) and unmanned aerial vehicles (UAVs) are realized as an essential component of the upcoming 5G/B5G networks, enabling enhanced communication

Vehicular Ad Hoc Network (VANET), as an important network infrastructure in the Industrial Internet of Thing (IIoT), creates an intelligent space for vehicular communications. However, security and privacy are the main issues related to VANET since it is an open-access environment. To this end, a secure and impressive privacy-preserving authentication scheme can improve safety in VANET. In this paper

This paper presents the DIVE protocol, which is designed to self assign unique node IDs in an underwater acoustic network. DIVE, which stands for Distributed Id assignment and topology discoVEry, is fully distributed and does not assume any prior knowledge of the network. One of the objectives of the DIVE protocol is the assignment of short IDs to the node, thus reducing the number of bits required

Interconnected LPWAN devices, which create the IoT, are usually powered by batteries that significantly limit their operational lifetime. The main disadvantage of batteries is that they must be periodically/manually replaced with new ones or recharged when they are depleted. This kind of maintenance increases the cost and restricts the large-scale deployments of these devices. Furthermore, wireless

In recent times, cyberattacks on the Internet of Health Things (IoHT) have continuously been growing, and so it is important to develop robust countermeasures. However, there is a lack of publicly available datasets reflecting cyberattacks on IoHT, mainly due to privacy concerns. This paper showcases the development of a dataset, ECU-IoHT, which builds upon an IoHT environment having different attacks

Since the past decades, the development of wireless communications has been thrusting the informationization of people′s life. While the smartphone mobile communications have greatly enhance user experiences, the conception of internet of things (IoT) which manages to achieve the broader network coverage of heterogeneous devices seems to be predictable. As the application based on internet and wireless

This paper investigates the use of unmanned aerial vehicles (UAVs)/drones for providing high data rates to mobile relays (MRs) placed on top of high speed train wagons, thus introducing the concept of Travel Hopping Enabled Resource Allocation (THEResA). The objective is to provide high data rate connectivity to train passengers in 5G+/6G networks. With the drone flying at the same train speed, highly

With the rapid evolution and proliferation of Artificial Intelligence (AI) throughout the past decade, industry-wide Deep Learning (DL) applications within IIoT ecosystems are expected to rise exponentially within this coming decade. However, recent studies have highlighted the extreme sensitivity and vulnerability of modern Deep Neural Networks (DNNs) to adversarial examples. While being imperceptible

The adoption of smart device technologies is steadily increasing. Most of the smart devices in use today have built-in sensors which measure motion, direction, and various environmental conditions. Sensors are able to provide raw data with different quality and accuracy. A large group of smart devices forms a mobile crowdsensing system which is capable of sensing, collecting and sharing the environmental

Connectivity and hop count are two crucial attributes of dynamic wireless networks such as ad-hoc wireless networks (AHWNs). When the security issue is considered, establishing a secure multi-hop path in AHWNs is challenging because an intermediate node having a wireless link with previous nodes may not be secure to receive data from those nodes, and vice versa. In this paper, stochastic geometry graphs

Machine learning is significantly used for malware and adversary detection in the industrial internet of things networks. However, majority of these methods require a significant prior knowledge of malware properties to identify optimal features for malware detection. This is a more significant challenge in IoT environment due to limited availability of malware samples. Some researchers utilized data

LoRaWAN is the most adopted communication technology for the Internet of Things (IoT) applications for enabling flexible, cost-effective long-range communication with low power consumption. The deployment of a wide range of IoT devices brings many benefits to many applications, but new challenges arise from the network point of view with this deployment. For instance, IoT applications have different

The Internet of Drones (IoD) recently gained momentum due to its high adaptability to a wide variety of complex scenarios. Indeed, Unmanned Aerial Vehicles (UAVs) can successfully be employed in different applications, such as agriculture, search and rescue missions, surveillance systems, mission-critical services, among others, thanks to some technological and practical advantages: high mobility,

Vehicular Ad Hoc Networks (VANETs) provide safety management and entertainment services in smart city scenarios. However, due to the highly time-varying network topology caused by vehicles’ movement and non-line-of-sight (NLOS) areas in complex urban environment, the connection time between vehicles might be very short, leading to limited transmission capacity between vehicles. As a result, large file

Edge computing is becoming a major building block of next generation 5G/6G networks. However, infrastructure might not always be available because of slow deployment. At the same time, vehicular networks are becoming a reality now and cars are being equipped with a variety of short-range communication devices. The idea of vehicular micro clouds is to turn cars into (virtual) edge computing infrastructure

We study multimedia traffic classification into popular applications to assist the quality of service (QoS) support of networking technologies, including but not limited to, WiFi. For this purpose, we propose to model the multimedia traffic flow as a stochastic discrete-time Markov chain in order to take into account the strong sequentiality (i.e. the dependencies across the data instances) in the

Internet of things or in short IoT is a network of interconnected entities such as computing devices, mechanical machines, digital gadgets etc. Cloud based IoT infrastructures are susceptible to Distributed Denial of Service (DDoS) attacks. A DDoS attack may render the server useless for a long period of time causing the services to crash due to extensive load. In this project we will try to introduce

A far-reaching expansion of advanced information technology enables ease and seamless communications over online social networks, which have been a de facto premium correspondents in the current cyber world. The ever-growing social network data has gained attention in recent years and can be handy for industrial revolution 4.0. With the integration of social networks with the Internet of Things being

Industrial Internet of Things (IIoT) realizes machine-to-machine communication and human–computer interaction (HCI) through communication network, which makes industrial production automatic and intelligent. Security is critical in IIoT because of the interconnection of intelligent industrial equipment. In IIoT environment, legitimate human–computer interaction can only be performed by authorized professionals

This paper considers a dual-unmanned aerial vehicle (UAV) enabled secure communication system under the probabilistic line-of-sight (LoS) channel model. Specifically, one UAV transmits confidential information to multiple ground nodes while the other UAV cooperatively sends jamming signals to confuse a potential ground eavesdropper. We maximize the minimum worst-case average (expected) secrecy rate

With the development of IIoT (Industrial Internet of Things), Artificial Intelligence technology is widely used in many research areas, such as image classification, speech recognition, and information retrieval. Traditional supervised machine learning obtains labels from high-quality oracles, which is high cost and time-consuming and does not consider security. Since multi-label active learning becomes

The use of electrocardiogram (ECG) data for personal identification in Industrial Internet of Things can achieve near-perfect accuracy in an ideal condition. However, real-life ECG data are often exposed to various types of noises and interferences. A reliable and enhanced identification method could be achieved by employing additional features from other biometric sources. This work, thus, proposes

The Internet of Things and the Wireless Sensor Networks are providing new ways to connect physical variables from the environment to the cybernetic world. As their applications become more ubiquitous, they require better energy efficiency to reduce the size of the batteries or extend their lifetime as much as possible, while keeping good quality network performance. Traditional solutions to this challenge

Wireless networks are expected to provide connectivity to an increasing number of users with heterogeneous requirements. Future wireless networks will integrate aerial and terrestrial networks to provide massive (a large number of users) connectivity. Unmanned aerial vehicles (UAV) can be deployed on-demand to provide connectivity in aerial networks. UAV-assisted wireless networks offer a broad range

Energy Efficiency (EE) is a key performance metric to design future wireless networks. Since Directional Antennas (DAs) focus the transmission energy towards the destination, it has been shown as a cost-effective solution when used in a backhaul network. In this paper we propose a new joint optimization framework of energy consumption and throughput in backhaul Wireless Mesh Networks (WMNs) equipped

Buffer-aided relay selection serves as one of the key approaches for achieving physical layer security (PLS) of wireless networks. Existing studies on buffer-aided relay selection mainly concentrate on the scenarios where transmitted packets have unlimited lifetime, while the more practical and important scenarios with limited packet lifetime remain largely unexplored. This paper therefore aims to

The Internet of Things (IoT) environment comprises large scale deployment of constrained devices like RFIDs and sensors making routing an essential requirement. These constrained devices are part of the Low power and Lossy Networks (LLNs) in the IoT. The Internet Engineering Task Force standardized IPv6 Routing Protocol for Low power and Lossy Networks (RPL) as the routing protocol for LLNs in IoT

Industrial Control Systems (ICS) are hardware, network, and software, upon which a facility depends to allow daily operations to function. In most cases society takes the operation of such systems, for example public transport, tap water or electricity, for granted. However, the disruption of those systems might have serious consequences across different sectors. In this paper, we propose a supervised

The ever-rising applications of drones in the Internet of Things (IoT) era is offering many opportunities and challenges. Owing to drone abilities (silent flying, capturing photos and videos, etc.), there is widespread concern about drone authentication and which drones allow to fly. In this regard, there are several machine learning (ML) proposals for authentication in IoT networks. Such ML-based

The main building block of Internet of Things (IoT) ecosystem is providing low-cost scalable connectivity for the radio/compute-constrained devices. This connectivity could be realized over the licensed spectrum like Narrowband-IoT (NBIoT) networks, or over the unlicensed spectrum like NBIoT-Unlicensed, SigFox and LoRa networks. In this paper, performance of IoT communications utilizing the unlicensed

The research on the Vehicular ad-hoc network (VANET) has been accelerated by the 5 G technology. The software-defined network and fog nodes near the vehicles have improved the throughput and latency in the processing of requests. However, the fog nodes are limited with computational resources like memories, RAM, etc. and need to be optimally managed. The estimation of vehicles' future locations can

Compared with traditional mobile Ad hoc networks (MANET) and vehicular Ad hoc networks (VANET), unmanned aerial vehicle (UAV) networks have two unique characteristics. First, the UAV network topology changes more frequently and unpredictably. Second, link qualities between UAVs vary significantly with time and space. Existing hop-by-hop routing protocols can neither adapt to the highly dynamic network

We study the problem of building a maximum lifetime data collection tree for periodic convergecast applications in wireless sensor networks. We experimentally observe that if two nodes transmit the same number of data packets, the amount of energy consumption of the nodes is approximately the same even if the payload lengths of the transmitted packets are different. This is because the major energy

The low power connectivity and short distance communication qualities of the IEEE 802.15.4 standard suits its application in wireless body (personal) area networks (WBAN). IEEE 802.15.4 protocol use carrier sense multiple access and collision avoidance (CSMA-CA) medium access control (MAC) mechanism for aperiodic data communication; however, it faces performance degradation with a gradual increase

Mobile edge computing (MEC) is envisioned as a prospective technology that supports latency-critical and computation-intensive applications by using storage and computation resources in network edges. The advantages of this technology are trapped in limited edge cloud resources, and one of the prime challenges is how to allocate available edge cloud resources to satisfy user requests. However, previous

In Industrial Internet of Things(IIoT), secure transferring, computing and processing data are critical in developing automated environments, such as smart factories, smart airports and smart healthcare systems for high quality service. Therefore, how to make full use of the massive industrial data in IIoT while preventing malware intrusion and leaking out no privacy is a leading and promising work

Despite Wireless Sensor Networks (WSNs) significantly developing over the past decade, these networks, like most wireless networks, remain susceptible to malicious interference and spectrum coexistence. Other vulnerabilities arise as WSN applications adopt open standards and typically resource and energy-constrained commercial-off-the-shelf equipment. Deployments include safety-critical applications

Underwater Acoustic Sensor Networks (UASNs) demonstrate powerful detection capabilities. Diversified underwater applications are emerging, resulting in a substantial increase in the types and amount of perception data. Thus, UASNs need to transmit data to the data center reliably and efficiently. However, problems such as long paths, multiple hops and long delay, etc limit the quality of data transmission

Recent anticipated advancements in ad hoc Wireless Mesh Networks (WMN) have made them strong natural candidates for Smart Grid’s Neighbourhood Area Network (NAN) and the ongoing work on Advanced Metering Infrastructure (AMI). Fault detection in these types of energy systems has recently shown lots of interest in the data science community, where anomalous behaviour from energy platforms is identified

Deploying wireless chargers is a promising way to provide continuous energy supply for battery-driven sensor nodes, and has attracted more and more attention recently. Existing works mainly focus on studying the charging utility maximization problem, that is, they aim to supply as much power as possible to all sensor nodes with a certain number of wireless chargers. However, these works ignore the

The blockchain technology is one of the hottest research fields in recent years, and it can provide a new security solution for data transmission and storage under trust-free environments. The distributed structure of blockchain is naturally suitable for the Industrial Internet of Things (IIoT), which can be used to build distributed trustworthy IIoT with high security. The transaction database is

The ameliorations in high-precision phasor measurement units (μPMUs) and synchrophasor units have accommodated the distribution grid with peculiar visibility. Therefore, investigating the challenges of uncertainty consideration on precise fault detection in microgrids has become a new research milestone. This paper presents an effective data-driven stochastic method that justifies the adoption of only

Spatiotemporal-aware region recommendation satisfies a user by providing an region of POIs (point-of-interests) that he/she may prefer. This recommendation is typically performed by analyzing the region mobility patterns of the user with some spatial and temporal contexts. This kind of recommendation can help, for example, a businessman to enjoy his urban life, or a tourist to travel in an unfamiliar

Terahertz (THz)-band (0.1–10 THz) communication is envisioned as a key technology for the next generation of wireless communications, with the potential to enable Terabit-per-second (Tbps) links. To overcome the high path loss of this band, the use of directional antennas on both transmitter and receiver is necessary even for distances of few meters. This paper presents an Adaptive Directional Antenna

The problem faced by one farmer can also be the problem of some other farmer in other regions. Providing information to farmers and connecting them has always been a challenge. Crowdsourcing and community building are considered as useful solutions to these challenges. However, privacy concerns and inactivity of users can make these models inefficient. To tackle these challenges, we present a cost-efficient

Aerial networks, composed of Unmanned Aerial Vehicles (UAVs) acting as Wi-Fi access points or cellular base stations, are emerging as an interesting solution to provide on-demand wireless connectivity to users, when there is no network infrastructure available, or to enhance the network capacity. This article proposes a traffic-aware topology control solution for aerial networks that holistically combines

This paper presents an investigation on the effect of human presence on the indoor channel for two different UWB antennas used as Tx-Rx nodes having directional and omni-directional characteristics. The position and direction of the human subject is varied along with the Tx-Rx nodes spacing (1-5 m) giving a complete overview of the indoor channel variation in the presence of the human subject. Various

Physical layer secret key generation leveraging reciprocity principle of the wireless channel is a promising substitute for traditional cryptography. However, in certain scenarios, the channel measurements extracted by the wireless transceivers are of high correlation but not similar. Therefore, preprocessing channel measurements prior to quantization is highly essential to facilitate successful generation

Wireless network nodes working in industrial environment or mounted on mobile machines are exposed to frequent and unpredictable temperature changes, which impact local clock accuracy resulting in synchronization problems (time offset). These issues have to be taken into account when optimizing the network to avoid higher energy consumption and traffic congestion. The time offset problem can be alleviated

Internet of Drones (IoD) formation offers a wide variety of applications in military and civilian environments. In highly congested terrain, dynamic and static obstacles have a critical impact on IoD performance. One of the critical challenges in IoD missions is avoiding obstacles for successfully and safely completing their tasks. The limited flight time of a drone is another challenge. Thus, IoD

Although the percentage of people living outside a broadband network has more than halved in recent years, around 10% of the global population does not have access to the Internet. This lack of coverage is particularly concentrated in rural and low-income areas, in which the lack of a cost-effective electricity supply is the main barrier to expanding network coverage. To tackle this problem, this work

An aircraft has an obvious state division in a complete flight mission, the data of the trajectory points also have specific characteristics in each flight state, so the trajectory data with the similar characteristics can improve the performance of neural networks. Therefore, a combined online-learning model with K-means clustering and gated recurrent unit (GRU) neural networks for trajectory prediction

Recently, Unmanned Aerial Vehicles (UAVs) present a promising advanced technology that can enhance people life quality and smartness of cities dramatically and increase overall economic efficiency. UAVs have attained a significant interest in supporting many applications such as surveillance, agriculture, communication, transportation, pollution monitoring, disaster management, public safety, healthcare

With the widespread use of Internet-of-Things (IoT) devices, edge computing is becoming a popular technology for processing and storing data distributed at the edge of the networks. However, the new paradigm also faces a major security challenge: how to ensure the reliability and integrity of data in distributed edge storage servers? In this paper, we propose a robust and auditable distributed data

This paper analyzes the Secrecy Transmission Capacity (STC) over wireless networks, where the legitimate nodes and eavesdroppers are distributed following Poisson point processes. Based on the tools of stochastic geometry, we first derive the Connection Outage Probability (COP) and the bounds of the Secrecy Outage Probability (SOP), and establish a theoretical framework for analyzing STC under the

With the rapid development of multimedia services in wireless mobile networks, the video data traffic has increased exponentially. Traditional video traffic service based on cloud computing caused a large amount of traffic load and longer access delay, which severely reduces the quality of service (QoS) of users. Multi-Access Edge Computing (MEC) can directly serve user requests so as to greatly reduce

In this paper, a blockchain-enabled Stackelberg game model is proposed for the Quality-of-Service Optimized Link State Routing (QoS-OLSR) protocol in urban VANET. While QoS-OLSR protocols introduce game models, Stackelberg in specific, to select stable relays, the information exchanged by nodes and the selection process cannot be trusted. The introduction of Blockchain to VANET arose as a means for

This paper considers using a team of solar-powered UAVs to collaboratively eavesdrop on a mobile ground target in an urban environment. A practical application is that the police department uses UAVs to collect the transmitted data from a criminal suspect so that the transmitted content can be understood. Using UAVs in this task is a much more cost-effective and also less suspicious option than the

The emergence of IoT technology makes the applications of IoT wireless sensor networks (WSNs) attract more attentions, and most of the applications are based on the sensor’s location. This paper addresses two main challenges encountered in the localization issue in IoT WSNs, i.e., limited energy in battery-powered sensors, and non-line-of-sight (NLOS) induced errors in harsh environments. We propose

In the last decade, mobile robot swarms are widely used in wild applications, such as disaster search and rescue, battlefield communication, and so on. Due to their task-oriented feature in the wild, robot nodes usually move in groups. However, the communication of self-organized networks as a fundamental technology of mobile robot swarms is still the main bottleneck to restrict its developments. We