Mobile crowdsensing (MCS) has been an emerging technology thanks to the smart devices which are capable of sensing and computing to achieve large-scale, complex sensing tasks by cooperation. However, large-scale deployment might be impeded due to that fact that the participant may face the risk of privacy leakage, and if they are not compensated favorably, they may not be willing to contribute sensing

The Local Mutual Exclusion (LME) problem is a variant of classical Mutual Exclusion (ME) problem and can be considered as an extension of dining philosopher problem. In LME, no two neighboring nodes can enter the critical section (CS) simultaneously, whereas two non-neighboring nodes can be in their CS simultaneously. The resource allocation problem in Flying Ad hoc Networks (FANETs), is relatively

Spectrum Sensing as a Service (SSaS) has recently emerged as a promising solution to realize dynamic spectrum access networks (aka, cognitive radio networks (CRNs)). This paradigm relies on a dedicated infrastructure wireless sensor network, operated by a spectrum sensing service provider S3P entity, for spectrum monitoring. Wireless users which are interested in knowing the status of a given spectrum

In this paper, we investigate the uplink and downlink performance of single cell Massive multiple-input multiple-output (MIMO) system under channel varying conditions due to rapid user mobility. During uplink, the mobile users transmit orthogonal pilot sequences to the base station for channel state information (CSI) estimation prior to data transmission. During downlink, the base station sends orthogonal

Aiming at the problem that drilling data is disturbed by environment noise, which affects the accuracy of stratum identification based on expert experience. Due to the impact of drilling environment and limited resources of drilling experts, experienced experts have been unable to visit the site in person to guide the site in the form of one-to-one. Firstly, the paper introduces remote wireless acquisition

In recent years, with the rapid development of China’s economy, many civil engineering structures such as high-rise buildings, bridges, dams and tunnel have increased rapidly. Sensor optimization layout, as an important technology of Structural Health Monitoring (SHM), has become one of the research hotspots in related fields and disciplines. Due to the limitations of civil engineering structures and

Modern network virtualization platforms enable users to specify custom topologies and arbitrary addressing schemes for their virtual networks. These platforms have, however, been targeting the data center of a single provider, which is insufficient to support (critical) applications that need to be deployed across multiple trust domains, while enforcing diverse security requirements. This paper addresses

Routing protocols for Mobile Ad hoc NETworks (MANETs) constitute a research area with numerous evolved and well-investigated solutions that typically still rely on IP. Although IP-based protocols for MANETs can effectively handle network changes, thus enhancing connectivity while offering scalability, they lack support for advanced communication paradigms, which would enable richer applications and

IoT are prone to vulnerabilities as a result of a lack of centralized management, dynamic topologies, and predefined boundary. There are diverse attacks that affect the performance of IoT network. Flooding attack is a DoS attack that brings down the network by flooding with a huge count of HELLO packets, routed to a destination that does not exist. The main intent of this paper is to develop a novel

Named Data Networking (NDN) is a promising candidate of Future Internet Architecture (FIA) designed to solve many long-standing issues in current IP architecture such as security, mobility, and content distribution inefficiency. Pending Interest Table (PIT) is one of the essential building blocks of NDN, which is used in the successful delivery of data packets to the requesters. It helps to achieve

Depending on the inherent characteristic of sensitive attributes, even those existing enhanced anonymous models still permit the private information to be disclosed or have other limitations so far, such as skewness attacks or sensitive attacks. Based on this, three novel enhanced anonymous models, i.e., (p,αisg)-sensitive k-anonymity model, (p+,αisg)-sensitive k-anonymity model and (pi+,αisg)-sensitive

In heterogeneous cellular networks (HetNets), fractional power control (FPC) is used in uplink (UL) transmission to improve signal-to-interference ratio (SIR) by compensating path loss. However, employing FPC results in a significant co-channel UL interference (UL-I) as a result of increased users’ transmit power. Moreover, macro base station (MBS) edge users make the situation exacerbate by transmitting

Recently, the Internet of Things (IoT) technology is used for several applications for exchanging information among various devices. The intelligent IoT based system utilizes an Android operating system because it is also primarily used in mobile devices. One of the main problems for different IoT applications is associated with android vulnerability is its complicated and large size. To overcome the

It is generally understood that an attacker with limited resources would not be able to carry out targeted attacks on Industrial Control Systems. Breaking this general notion, we present case studies of major attacks on Industrial Control Systems (ICSs) in the last 20 years. The attacks chosen are the most prominent ones in terms of the economic loss inflicted, the potential to damage physical equipment

With the sustained and rapid development of the social economy and the rapid growth of urban vehicles, urban expressway has developed rapidly. As the roadmap of urban traffic, the urban expressway has a relatively high and stable driving speed, and also bears a large amount of urban traffic. However, in recent years, with the expansion of the city scale, the congestion of urban expressways has become

With the continuous development of the logistics industry, the relevant technology is becoming more mature, the system is increasingly perfect, and the accuracy requirements for the logistics monitoring system are becoming higher and higher. Traditional logistics monitoring is usually manually recorded, which not only wastes manpower and is inefficient, but also cannot meet the current scale and intelligent

The advent of sensors and high-throughput technologies has resulted in an exponential growth of big biological data. Various distributed biological systems have been deployed for big biological data analytics and providing consolidated information to its end users. Performance optimization plays a significant role while making these systems interactive and responsive. Current performance optimization

Due to the traditional cloud computing-based information transmission mechanisms and IOT’s problems of large errors and low security, a heterogeneous integrated network resource management algorithm based on information security transmission is proposed. The algorithm adopts the advantages of information security transmission technology to collect resources in heterogeneous integrated network, then

The contemporary world activates with a enormous data that are stored and managed in the cloud server. For every cloud environment, there will be multi-users to access the data and group managers (GM) to regulate it. The major concern that evolved out of the cloud environment is to provide data security. Unfortunately with the recurrent changes, providing access control for the multiuser membership

With the rapid growth of mobile devices and the emergence of 5G applications, the burden of cellular and the use of the licensed band have enormous challenges. In order to solve this problem, opportunity communication is regarded as a potential solution. It can use unlicensed bands to forward content to users under delay-tolerance constraints, as well as reduce cellular data traffic. Since opportunity

To address the performance problems that many business critical applications are experiencing, network vendors and Network Service Providers (NSP) are reconsidering the integration of some form of application awareness in the way their networks forward user traffic. Their ultimate goal is to devise new network service models that are dedicated and customized to applications while efficiently using

Followed by digital cities and smart cities, another advanced form of information city has emerged, namely smart cities. Such kind of city is integrated with informationization, industrialization and urbanization. Smart cities belong to the fusion of multiple information technologies such as the Internet of Things technology and cloud computing technology. Smart city is the use of various sensors and

The recent advances in information and communication technology (ICT) have further extended Internet of Things (IoT) from the sole “things” aspect to the omnipotent role of “intelligent connection of things”. Meanwhile, the concept of internet of everything (IoE) is presented as such an omnipotent extension of IoT. However, the IoE realization meets critical challenges including the restricted network

Cyber physical systems (CPS) has been hailed as the next future of computing by integrating information technology into physical systems to increase their capabilities. Information network is an organic part of CPS, and vulnerability threat assessment of information network is one of the important bases of CPS risk assessment. In view of the limitation of general information network vulnerability threat

In order to improve the efficient allocation of resources in the scenario of densely distributed mobile terminals in 5G networks, this paper proposes a resource allocation algorithm based on D2D communication mode selection. First, group D2D users according to their location distribution. Then, according to the priority order of communication needs, users are assigned modes, and the resource allocation

Internet of Things (IoT) and unmanned aerial vehicles (UAVs) together can significantly enhance the performance of disaster management systems. UAVs can collect massive heterogeneous data from disaster-affected areas using fifth-generation (5G)/beyond 5G networks and this data can be analyzed to get the information required by the first responders such as marking the boundary of the affected area,

Low power Internet of Things (IoT) is suffering from two limitations: battery-power limitation of IoT nodes and inflexibility of infrastructure-node deployment. In this paper, we propose an Unmanned Aerial Vehicle (UAV)-enabled data acquisition scheme with directional wireless energy transfer (WET) to overcome the limitations of low power IoT. The main idea of the proposed scheme is to employ a UAV

With the high penetration of large scale distributed renewable energy generations, there is a serious curtailment of wind and solar energy in 5G internet of energy. A reasonable assessment of large scale renewable energy grid-connected capacities under random scenarios is critical to promote the efficient utilization of renewable energy and improve the stability of power systems. To assure the authenticity

Due to the increasing capability of drones and requirements to monitor remote areas, drone surveillance is becoming popular. In case of natural disaster, it can scan the wide affected-area quickly and make the search and rescue (SAR) faster to save more human lives. However, using autonomous drone for search and rescue is least explored and require attention of researchers to develop efficient algorithms

In response to the deteriorating environmental pollution, China has formulated a series of environmental regulation policies. However, political centralization and economic decentralization have subjected the local governments (LGs) to the dual constraints of environmental protection and economic development during the implementation of environmental regulation, which has resulted in the failure of

Renewable energy sources is largely adopted for generation of electrical energy and various methodologies have been proposed in this area This paper focuses on analysis, design and implementation of DC/DC buck-boost converter towards producing the hybrid prototype, consisting of 3kW PV and 3.2 kW PMSG using wind energy conversion system. Particle Swarm Optimization algorithm is employed for regulation

The intelligent vehicle target detection system can sense and recognize the surrounding pedestrians, vehicles and other objects through sensors, which is the basis for achieving intelligent vehicle unmanned driving. The laser imaging radar actively emits laser light and receives its reflected echo, which can form an angle-angle-distance-intensity image, making it easier to realize target recognition

Wireless sensor networks (WSNs) are composed of a set of sensor nodes, widely spread out across the area and gather information. Some sensor nodes may develop a fault due to various reasons such as environmental effects. Since the occurrence of faults should not affect the desired function and functionality of network, fault management is vital to improve fault tolerance. Here, we classify faults based

Within the last decade, communication technologies have evolved rapidly, and this caused significant advancements for Internet of Things (IoT) applications and services. Unmanned aerial vehicles (UAVs), popularly known as drones, has attracted the interest of researches because of their fundamental attributes such as mobility, flexibility, reliability and energy efficiency in wireless networks. Similar

Data collection is a considerable operation in Wireless sensor network (WSN) to minimize the energy dissipation of sensor nodes and thereby increasing the network lifetime. A lot of research works have been designed for data gathering in WSN. A multi-mobile agent itinerary planning based energy and fault aware data aggregation and zone-based energy-aware data collection routing protocol was introduced

MANET plays an irreplaceable task by providing quality aware broadcast routing technique for small infrastructure- less field of application. Depending upon arising interference, transmission power of individual node can be done by Ant Colony Optimization (ACO) algorithm. In addition, nodes probability link connectivity is estimated by using Bayesian pursuit (BPST) algorithm that determines probability

Recommender Systems (RS) provide customized suggestion to users for specific item across the bulk of identical data such as media recommendations, electronic commerce web pages & social networks. RSs are being developed using the methods such as Collaborative Filtering (CF) and Contents Based Filtering (CB). However, CF suffers from sparseness problem wherein user-to-item data is sparse and CB filtering

With the evolution of Internet of Things (IoT), there is a huge amount of data exchange among different smart devices located geographically apart from each other. As the data among these devices travels using an open channel, i.e., Internet, so one of the challenge is to build a secure system to protect from various cyber-threats. Cyber-criminals use new attack vectors to launch various attacks as

With the rapid development of microelectronics technology, wireless communication technology and sensor technology, micro-structured sensors that can sense and communicate at the same time have emerged. This tiny device can sense all kinds of information in the surrounding environment, collect it to the sink node, and then transmit it to the data center. Wireless sensor networks are widely used in

The Internet is subject to attacks due to vulnerabilities in its routing protocols. One proposed approach to attain greater security is to cryptographically protect network reachability announcements exchanged between Border Gateway Protocol (BGP) routers. This study proposes and evaluates the performance and efficiency of various optimization algorithms for validation of digitally signed BGP updates

In this paper we aim to understand the connectivity and communication characteristics of Twitter users who post content subsequently classified by human annotators as containing possible suicidal intent or thinking, commonly referred to as suicidal ideation. We achieve this understanding by analysing the characteristics of their social networks. Starting from a set of human annotated Tweets we retrieved

Over the last decade a large number of routing protocols has been designed for achieving energy efficiency in data collecting wireless sensor networks. The drawbacks of using a static sink are well known. It has been argued in the literature that a mobile sink may improve the energy dissipation compared to a static one. Some authors focus on minimizing Emax, the maximum energy dissipation of any single

Network lifetime and energy-efficiency are viewed as the dominating considerations in designing cluster-based communication protocols for wireless sensor networks. This paper analytically provides the optimal cluster size that minimizes the total energy expenditure in such networks, where all sensors communicate data through their elected cluster heads to the base station in a decentralized fashion