Wireless sensors can detect an object from the light it reflects, the noise it causes, or the gas molecules it disseminates. However, tracking a moving object requires the wireless sensors to perform high-frequency sensing and data transmission which consume much more energy. To save energy and prolong the lifetime of wireless sensor networks while tracking a moving object effectively, this paper proposes

Wireless Sensor Network (WSN) is the one of the hot area of research in which energy stability and network lifetime are considered to be the twin challenges during its application. Clustering is the optimum energy efficiency strategy that organizes the sensor nodes into potential groups for the objective of attaining energy stability and network lifetime. In this energy potent clustering process, cluster

Energy conservation is one of the major concerns in mobile cloud sensor environment, where mobile sensing devices are capable of acquiring the sensing information and send the collaborated data to cloud hosted applications. However, they are constrained by the limited computing power and the short battery life. Hence, sensor based applications need an effective scheme to collect the sensed information

Improving the travel efficiency of citizens and the operation efficiency of urban has always been the goal of Intelligent Transportation System. Due to the neglect of strong traffic demand and driving behaviour preferences, coupled with the insufficient of communication and computing power, the existing measures based on the centralized control of vehicles or mandatory traffic restrictions lead to

With the development of 5th generation (5G) wireless communication networks and the popularity of short video applications, there has been a rapid increase in short video traffic in cellular networks. Device-to-device (D2D) communication-based short video sharing is considered to be an effective way to offload traffic from cellular networks. Due to the selfish nature of mobile user equipment (MUEs)

Past local and worldwide international logistic operations have been related with obscure data streams that have thwarted detectability and made obstacles in deregulation. Ethereum based Distributed Ledger Technology and unified advancements were explored for solving the issues looked of Cloud-Based Manufacturers. Nonetheless, past writing has zeroed in on restricted parts of a regular Cloud-Based

Wireless communication technology is used in various applications and therefore the availability of wireless spectrum is a serious concern. The number of cellular users is increasing rapidly. The 5G network will be able to cater to the requirements of the increasing users. However, the spectrum efficiency needs to be improved. Cooperative spectrum sensing is being widely used by cognitive radios for

Healthcare innovations are increasingly becoming reliant on high variety and standards-compliant (e.g., HIPAA, common data model) distributed data sets that enable predictive analytics. Consequently, health information systems need to be developed using cooperation and distributed trust principles to allow protected data sharing between multiple domains or entities (e.g., health data service providers

Traditional healthcare services have transitioned into modern healthcare services where doctors remotely diagnose the patients. Cloud computing plays a significant role in this change by providing easy access to patients’ medical records to all stakeholders, such as doctors, nurses, patients, life insurance agents, etc. Cloud services are scalable, cost-effective, and offer a broad range of mobile

Wireless Sensor Networks (WSNs) attract a large variety of applications. The physical localization of sensors is one of the fundamental tasks in such networks. This task is challenging due to technical and financial constraints of nodes that need sophisticated solutions. Existing satellite-based methods might be cost, require high-energy consumption with no guarantee of full coverage of that area.

In recent years, smartphone users are interested in large volumes to view live videos and sharing video resources over social media (e.g., Youtube, Netflix). The continuous streaming of video in mobile devices faces many challenges in network parameters namely bandwidth estimation, congestion window, throughput, delay, and transcoding is a challenging and time-consuming task. To perform these resource-intensive

In recent years, the rapid development of blockchain technology and cryptocurrencies has influenced the financial industry by creating a new crypto-economy. Then, next-generation decentralized applications without involving a trusted third-party have emerged thanks to the appearance of smart contracts, which are computer protocols designed to facilitate, verify, and enforce automatically the negotiation

The development in cloud computing platforms has resulted, hosting many day-to-day service applications in the cloud. To avail the services provided by different cloud service providers (CSPs), the mobile user has to register his/her identity with the CSPs. The mobile user (MU) has to remember multiple identities and credentials to access various CSPs. Many single sign-on schemes have been proposed

The maximum hard side of Mobile Ad Hoc Network (MANET) is that they are power resource-limited wherein energy cannot be replenished. Our evaluation intention is to give a high power saving management system for MANET. Cluster approaches in MANET make other nodes into small disjoint groups, wherever every cluster node encompasses an organizer known as Cluster Head (CH). The primary difficult task within

In recent years, data scheduling in satellite networks has drawn much attention. The nodes in the satellite network change dynamically, and there is no continuous connectivity between nodes. Due to the intermittent connection between satellites, data transmission is based on a storage-carry-forward mode. In such a network, it will inevitably result in transmission delay. It is challenging to schedule

Wireless sensor networks (WSNs) have gained much attention in public and research communities due to their incredible capabilities and ever-growing range of applications. The WSN is equipped with a specialized transducer that adds the sensing services to IoT. This equipment is limited to battery and resource capacity, which introduces many challenges to academia and industry. Hence WSN has to be utilized

It is widely believed that effective water resource management can optimize the scheduling of water supply plans, which is essential for sustainable development. The core of management is to accurately predict future water consumption. However, existing studies generally face two challenges. First, a reliable bottom platform for the support of online data integration is absent. In addition, multisource

Wireless sensor networks (WSNs) accomplish a key aspect in the Industrial Internet of Things (IIoT) that has turned out to be the most flourishing perception for computerizations in an industrial maneuver. IIoT environment is a significant application of the Internet of Things (IoT) that facilitate the professionals related to industries for remote supervision of factory, warehouses, etc. In this environment

A wireless sensor network (WSN) consists of a set of sensor nodes that are widely scattered in inaccessible areas. When deployed in large areas, WSNs generate a large volume of the data. Therefore, efficient methods are needed to process the data. One solution to minimize traffic on large-scale wireless sensor networks is to use data aggregation schemes. In this paper, a secure data aggregation method

With the increasing applications of the mobile P2P networks, how to improve the resource search performance has been an important research focus. Peers’ features of strong mobility, short wireless transmission range and malicious behavior make the efficient and effective resource search more difficult in mobile P2P networks. This paper proposes an informed resource search strategy, iForest, in mobile

Fog computing broadens the computing services to serve requests of Internet of Things (IoT) by resources at the edge of Cloud-Fog environments instead of serving these requests by resources at the environment’s core. The aim of fog computing is to reduce load of computing in data centers and reduce latency of requests, especially real-time ones. Load balancing and scheduling play essential roles and

Underwater Sensor Network (USN) is the wireless network infrastructure applicable in deep ocean to detect, collect, and transmit information to a remote data acquisition location on shore. Underwater routing protocols are used to provide route information in addition to ensuring efficient data and information collection and transmission. Some routing strategies for USNs are linked to high energy consumption

A Correction to this paper has been published: https://doi.org/10.1007/s12083-021-01098-2

To improve the quality of mobility and transportation in a smart city, Electronic Toll Collection (ETC) system has been widely implemented along toll roads, which can automatically collect the usage fee from vehicles. There are many advantages of using ETC systems, such as no need to prepare cash, no need to waste time waiting in a queue, and be able to improve the air quality at tollgate. However

In vehicular networks, trustworthy information sharing between vehicles is an important security issue. We find that existing trust systems in vehicular networks have the disadvantages of high assessment latency and high maintenance cost. In this paper, by introducing mobile edge computing (MEC), we propose a tree-searching based trust assessment method through communities, named TTAC method, for vehicular

Continuous publication of statistics collected from various location-based applications may compromise users’ privacy as the statistics could be procured from users’ private data. Differential Privacy (DP) is a new privacy notion that offers a strong privacy guarantee to all users who participate in the statistics. However, the existing DP mechanism for continuous publication of location statistics

The Industry 4.0 IoT network integration with blockchain architecture is a decentralized, distributed ledger mechanism used to record multi-user transactions. Blockchain requires a data storage system designed to be secure, reliable, and fully transparent, emerged as a preferred IoT-based digital storage on WSN. Blockchain technology is being used in the paper to construct the node recognition system

Medical service recommendation is as an essential component of eHealthcare systems, and has received widespread attention in recent years. In medical systems, users can send demands to medical server, which then recommends the suitable doctors based on the demands. In the existing medical service recommendation scheme, although users can send the basic demands to get medical service recommendation

The rapid growth and technological progressions in the vehicle edge computing and networks (VECON) enhanced existing vehicular administrations through information sharing and information investigation, which further incremented traffic security difficulties. This carries the need to verify vehicle networks with gigantic information stockpiling substances. Recognizing the vehicles that communicate fashioned

Data watermarking technology is an effective means to protect the copyright of big data. In order to embed robust and highly available data watermarks, firstly, based on the game theory, a Nash equilibrium model between watermark robustness and data quality is established to solve the optimal number of data group. Then, the mapping relationship between data group and watermark bit is established by

According to different application scenarios of blockchain system, it is generally divided into public chain, private chain and consortium chain. Consortium chain is a typical multi-center blockchain, because it has better landing, it is supported by more and more enterprises and governments. This paper analyzes the advantages and problems of Practical Byzantine Fault Tolerance (PBFT) algorithm for

Big data collection and storage have become one of the most obvious challenge in this era. Indeed, much of that data is collected thanky to a huge number of connected devices in sensing-based IoT applications. Thus, in order to deal with data growth in such applications, researchers have focused on data reduction approach as an efficient solution for minimizing the amount of data collection and saving

n the imminent future, with the immense need for improving road safety and demand for enhancing the overall driving experience, the utility of vehicular ad-hoc networks technology (VANET) becomes well pronounced. But, the major setbacks of VANET are centralized architecture and the lack of privacy-preserving mechanisms. As it is evident, blockchain technology is gaining attention because of the features

Blockchain has revolutionized numerous fields, which include financial services, health care, the Internet of things, academia and supply chain management. Blockchain technology enables us to have an immutable, distributed ledger for managing the transactions of untrusted users. However, the technology has many open challenges, such as privacy leaks, scalability, and energy consumption. User identity

Due to the pervasiveness of image capturing devices in every-day life, images of individuals are routinely captured. Although this has enabled many benefits, it also infringes on personal privacy. A promising direction in research on obfuscation of facial images has been the work in the k-same family of methods which employ the concept of k-anonymity from database privacy. However, there are a number

Structured Peer-to-Peer (P2P) overlay networks are scalable and efficient networks. This efficiency comes at a cost as there is a need for regular maintenance of an overlay structure to handle the continuous churn of peers. This results in huge overhead in terms of maintenance traffic generated by peers. This problem becomes more critical when logical overlay topology differs from actual physical network

The objective of the study is to consider the foremost high-tech issue of mobile radio propagation i.e. path loss for an outdoor and indoor environment for mmWave in a densely populated area.60 [GHz] mmWave is a win-win for the 5th Generation radio network. Several measurements and simulations are performed using the simulator “Smart Cognitive 3D Ray Tracer” build in MATLAB. Two of the main parameters

As blockchain technology booms, modern electronic voting system leverages blockchain as underlying storage model to make the voting process more transparent, and guarantee immutability of data. However, the transparent characteristic may disclose sensitive information of candidate for all system users have the same right to their information. Besides that, the pseudo-anonymity of blockchain will lead

During the donation process, the source and flow of donated goods are not disclosed to the public in time. In this paper, we propose the donation tracing blockchain model (DTBM) to render the donation process open and transparent, by using blockchain with decentralization, traceability, and anti-tampering. However, the existing blockchain systems have a problem that the process of Delegated Proof of

A Correction to this paper has been published: https://doi.org/10.1007/s12083-021-01111-8

With the development of Internet technology, service providers can provide users with personalized services to enrich user experience, however, this often requires a large number of users’ private data. Meanwhile, the protection of their private data and the evaluation of the risk of leaked datasets become a matter of great concern to many people. To resolve these issues, in this paper, we develop

Classical machine learning modeling demands considerable computing power for internal calculations and training with big data in a reasonable amount of time. In recent years, clouds provide services to facilitate this process, but it introduces new security threats of data breaches. Modern encryption techniques ensure security and are considered as the best option to protect stored data and data in

Radio Frequency Identification (RFID) is an emerging technology that is used for the unique identification of objects. RFID can be used in different application domains, including Health-care systems, where the safety of patient-sensitive data is a primary concern. Since the RFID technology is used in various medicine sectors, particularly real-time patient monitoring, patient medicine Information

In a peer to peer (P2P) network, users should cooperate (share resources) for effective operation. To enforce cooperation, incentive mechanisms are employed, which provide preference in service to more cooperative peers. Most of these incentive mechanisms are designed for the networks where upload and download capacities are independent of each other. In a wireless network, there are scenarios where

Routing and hotspot are considered among the key issues in Wireless Sensor Networks (WSNs). Several routing protocols have been proposed; yet they suffer from the lack of fault tolerance, the uneven load balancing and the local optimal solution issues. To fix these issues, we propose in this paper an algorithm named Energy-efficient Cluster-based Routing Protocol using Unequal Clustering and improved

Vehicular ad-hoc network is one of the networks based on wireless sensor networks which, nowadays, plays a crucial role in life. Due to the autonomy of each vehicle, trust management can prevent many probable attacks. Every vehicle must be able to announce its trust; however, this announcement makes other vehicles able to locate that vehicle as well. Therefore, the present study is aimed at presenting

The healthcare services industry has seen a huge transformation since the prominent rise of the Internet of Things (IoT). IoT in healthcare services includes a large number of unified and interconnected sensors, and medical devices that generate and exchange sensitive information. Thus, an enormous amount of data is transmitted through the network which raises an alarming concern for the privacy of

Selfish mining is an attack on the integrity of a blockchain network. Inspired by J. Göbel’s selfish mining model in the presence of propagation delay, we propose a competition model based on spatial Poisson process to study how delay influences the revenue distribution when there are more than one selfish miners. Based on our model, we derive the exact expression of the revenue distribution, and prove

The various demands from cellular users are increasing day by day. A tower can be selected if the traffic through it at a specific time is predictable. Then a chosen set of issues can also be addressed. In the future, such prediction of traffic will help to identify networks that have better conditions with desired performance. To be specific, in this paper, the Long-Short Term Memory (LSTM) model

Blockchain has become one of the most important techniques in decentralized cryptocurrency systems. It has drawn much attention from both academia and industrial circles. However, most of the existing blockchain based schemes only support transactions within two parties. In many real world scenarios, a transaction may involve multiple parties, if these parties involved conduct their transactions ruled

In this paper, we propose a packet classification based Aerial Intelligent Relay-Road Side Unit (AIR-RSU) framework introduced in every Relay-Road Side Unit (RRSU) nodes deployed across the transportation environment. The packet classification based AIR-RSU framework consists of two subsystems namely, the connectivity subsystem and packet classifier subsystem. The connectivity subsystem determines

In this paper, a mathematical model is presented to identify the impacts of events with dynamic and interactive nature on the functionality of resource discovery. This mathematical model can recognize those events with the dynamic and interactive nature having an impact on the functionality of resource discovery and thus failure of resource discovery. To extract the mathematical model by which to recognize

Integrating fog computing with vehicular networks led to the rapidly growing demands of vehicle applications regarding computation-intensive and low response time with meeting the request deadline. The limited resources of the fog node have made it unable to meet the demands of such applications. Offloading the requests to other Off-Load Destination (OLD) is a suitable solution for the fog node to

A Correction to this paper has been published: https://doi.org/10.1007/s12083-021-01090-w

The evolution of integrated clinical environments (ICE) and the future generations of mobile networks brings to reality the hospitals of the future and their innovative clinical scenarios. The mobile edge computing paradigm together with network function virtualization techniques and the software-defined networking paradigm enable self-management, adaptability, and security of medical devices and data

In recent years, vehicular ad-hoc network (VANET) is getting a growing interest due to its significant function in terms of vehicle information services and vehicular entertainment applications. In particular, VANET enables parking vehicles (PVs) and roadside units (RSUs) to share their contents with mobile vehicles (MVs), which improves the efficiency of content delivery. However, content delivery

Mobile edge computing is developing as an innovative computing paradigm that gives improved practice to mobile users through low latency connections and enlarged computation limits. As the amount of user requests is time- different, while the computation limit of the edge has is constrained, the Cloud Assisted Mobile Edge computing system is acquainted with improving the adaptability of the edge platform

Graph Neural Networks (GNNs) have achieved remarkable performance by taking advantage of graph data. The success of GNN models always depends on rich features and adjacent relationships. However, in practice, such data are usually isolated by different data owners (clients) and thus are likely to be Non-Independent and Identically Distributed (Non-IID). Meanwhile, considering the limited network status

Compressive sensing-based data collecting is a promising technique, which can significantly reduce the communication costs in wireless sensor networks (WSNs). However, a recent study shows that it is vulnerable to controllable event triggering attack (CETA): after compromising a sensor and carefully manipulating the environmental elements around a target in the subtree rooted at the sensor, an attacker

Peer-to-peer networking is a disseminated architecture application which partition the workload among peers. The peers are distributed with equal privileges pertaining the equipotent application. The peers are making portion of their resources including disk storage, processing power, bandwidth, which is in a straight line available to the participants of the network deprived of central management