Interference management has always been a research hotspot in the field of wireless communications. Currently, researches based on interference management mostly focus on an interference management technology, and few studies have combined multiple interference management technologies. This paper proposes an interference management technology that combines Interference Alignment (IA) and Successive

Recently developed advanced metering infrastructure in an intelligent physical system (IPS) sorts large quantities of data available in design, whereas the potential electricity system is implemented for profits and aid in the client’s transition from inactive to an active role. This paper investigates the usage of Deep Reinforcement Learning (DRL), in Intelligent Physical System for Strategic Planning

Low latency in communication among the vehicles and RSUs, smooth traffic flow, and road safety are the major concerns of the Intelligent Transportation Systems. Vehicular Ad hoc Network (VANET) has gained attention from various research communities for such a matters. These systems need constant monitoring for proper functioning, opening the doors to apply Machine Learning algorithms on enormous data

Biological signal measurement system based on wireless sensor network is a combination of traditional medical monitor and modern communication technology. It is of great significance for clinical application and the development of medical instruments, especially in family medical treatment. The application of intelligent bionic algorithm in wireless sensor network node location has become a hot topic

When facing some emergency situations, such as fires, traffic accidents, etc., it is necessary for the network to use the available information to provide the best and fastest access routes. In these cases, it is important to centrally manage all devices throughout the network, so a software-defined network (SDN) -based architecture is used to manage and control emergency service actions and evacuation

In recent years, the rapid development of the Internet digital advertising (IDA) market has brought many issues. Low-quality advertisements (ADs) have caused significant troubles for Internet users, and the “AD fraud” has plunged the IDA ecosystem into a crisis of trust. The blockchain’s trusted computing model provides new ideas for solving the above problems. In this paper, we designed and implemented

Data security is the most critical field in Cloud Computing. The Critical data can leak through unpredictable side channels, posing very risky threats to information security. The Cache-based Side Channel Attacks (CSCAs) is one of the most challenging attacks. Different secure cache architectures have been proposed to defend against these attacks. But these solutions are not reliable to detect and

Lightweight cryptography (LWC) is a compact and advancing cryptography protocol. Internet of Things (IoT) is a cutting edge technology which is developed for resource constrained devices for communicating and sharing of information among fellow devices over internet. IoT smart objects are smallest tiny devices and it has limited processing and storage capacities and that often runs on small, low power

Service caching can improve the QoS of computationally intensive vehicle applications by pre-storing the necessary application programs and related data for computing tasks on edge servers. In this paper, we propose a new vehicle edge computing framework based on software defined networks, which introduces the reputation to measure the contribution of each vehicle as the basis for providing different

Smart contracts powered by blockchain ensure transaction processes are effective, secure and efficient as compared to conventional contacts. Smart contracts facilitate trustless process, time efficiency, cost effectiveness and transparency without any intervention by third party intermediaries like lawyers. While blockchain can counter traditional cybersecurity attacks on smart contract applications

Maximizing the full coverage lifetime over a predefined set of target points (TPs) is one of the most fundamental functions in wireless sensor networks. However, coverage performance is challenging to maintain due to the energy consumption of self-contained sensor nodes (SNs). Therefore, in this paper, we propose an energy-efficient distributed algorithm for target-coverage preservation (DATCP) that

In this paper a two phase approach for high utility itemset mining has been proposed. In the first phase potential high utility itemsets are generated using potential high utility maximal supersets. The transaction weighted utility measure is used in ascertaining the potential high utility itemsets. The maximal supersets are obtained from high utility paths ending in the items in the transaction database

Due to the advancement of wireless technology, the Internet of Things (IoT) Device to Device communication for exchanging messages is feasible without human involvement. Authentication and identification of device location are highly essential tasks to verify the originality of IoT Devices (IoTDs) during communication via open channel. In recent days, IoTD registration is processed through the Registration

Smart Grid (SG) is a modernized power grid. Nowadays changing the power grid system into a smart grid is revolution and evolution. Owing to the widespread use of wireless communication technologies in Advanced Metering Infrastructure (AMI) of SG, security is one of the most significant and challenging problem. A specific feature of AMI systems is that it requires hybrid transmission modes of data which

Device-to-device (D2D) communications in a cellular network can be implemented on vehicular communications. However, high mobilities of vehicles generate fast channel variations in the communications. Channel description has to be specified in the D2D-enable vehicular communications network. In this paper, the vehicle speed and the sampling time are involved to the channel description such that the

Big data processing is an urgent and unresolved challenge that originates from the intensive development of information technology. The recent techniques lose their effectiveness rapidly as the volumes of data increase. In this article, we will put down our vision of the basic approaches and models related to problem solving, based on processing large data volumes. This article introduces a two-stage

Wireless Mesh Networking (WMN) is the latest Internet framework that provides a comprehensive range for Subsequent Internet (SI) prototype. Despite significant advantages provided by WMN, its practical distribution to connect Internet of Things (IoT) networks caused exorbitant congestion and restricted bandwidth. Motivated by this, a novel mechanism that ensures control in the manifestation of mobbing

With multiple advances in innovative technologies and crowdfunding platforms for businesses, the process of crowdsourcing is associated with some security issues that are rather difficult to assess at the stage of project preparation. Security and privacy issues of applying crowdsourcing to mobile app-related projects are an important matter to discuss and pose an assessment challenge. This work offers

Most of the various sectors in today’s life such as bank, transport, voting, health, electricity, etc., are currently digitalized. In our research paper, we have surveyed the voting system and explored the existing drawbacks of the voting system concerning security and malfunction. The demerits in the existing schemes include less data security, vote modification, man in the middle attack, masquerade

Cloud storage is an effective way for data owners to outsource their data by remotely storing them in the cloud and enjoy on-demand high quality services. In traditional cloud storage systems, cloud data integrity verification relies on centralized entities and data is stored in a small number of storage servicers. However, these centralized entities and storage servicers may be untrustworthy, and

Secured data transmission and data sharing have always been a challenge on the Internet of things-based networks. Blockchain-enabled peer to peer (P2P) networks are suitable infrastructure for the Internet of Things (IoT) and Beyond 5G (B5G) applications. The advantage is that the distributed nature of architecture and security services provided by this network extends its use in all sort of financial

The edge-based Internet of Things (IoT) computing provides a new value for the consumer where the smart devices, objects, and appliances connected over the internet. The data generated from the smart IoT devices need to be securely processed. With the increasing rate of smart IoT devices, the existing addressing schemes and security protocols do not guaranty to perform well in all situations. This

For companies to gain competitive advantage, an effective customer relationship management (CRM) approach is necessary. Based on customer purchase behaviour and ordering patterns, companies can be classified into different categories in terms of providing customised sales and promotions for customers. However, companies that lack an effective CRM strategy can only offer the same sales and marketing

Cloud computing is becoming a prominent service model of computing platforms offering resources to all categories of users on-demand. On the other side, cloud environment is vulnerable to many criminal activities too. Investigating the cloud crimes is the need of the hour. Anti-forensic attack in cloud is an attack which specifically aims to scuttle the cloud forensic process. Though many researchers

The Publisher would like to correct the introduced formatting errors and presentation of equation 4 and Table 2 in the original publication.

Storage in cloud computing is the fundamental service which is widely used by consumers of cloud. Cloud offer many advantages such as flexibility, elasticity, scalability and sharing of data among users. However, cloud storage throws many privacy and security challenges. Especially, the most significant problem is access control mechanism which ensures sharing of dataonly to authorized users. Most

With the growing demand of data processing/storage from Internet of Things (IoT) users and the increasing maturity of Cloud-Edge technologies, it becomes more and more critical to develop an effective and efficient performance evaluation approach in order to enhance the performance of Cloud-Edge services. Analytic modeling is an effective evaluation approach. The existing modeling researches on edge

In this study, the performance of hexagonal quadrature amplitude modulation (HQAM) for a dual-branch selection combining (SC) receiver for beyond fifth-generation (B5G) is analyzed in detail. For general applicability, the links are modeled with η-μ fading channels. In this context, analytical expressions of error probability (EP) are derived in terms of the Chernoff, Chiani, Prony (2 and 3 terms)

Routing in Cognitive Radio Ad Hoc Network (CRAHN) is a challenging task due to limited spectrum availability. To overcome this problem several researchers have proposed various routing schemes based on Quality of Service (QoS) and spectrum availability. These schemes choose a path that gives maximum QoS and spectrum level ignoring the required QoS level for a particular application which may be quite

Vehicular Ad Hoc Network (VANET) has received better consideration from academic researcher and automobile companies in modern years. Meanwhile, Congestion control remains the major area of research in VANET due to its characteristics such as high mobility, high vehicle density, and unbounded network size, frequent exchange of information, rapidly changing network topology, and lack of central management

Device to Device communication is an important aspect of the fifth-generation(5G) and beyond fifth-generation (B5G) wireless networks. 5G facilitates network connectivity among a large number of devices. This tremendous growth in the number of devices requires a large number of spectrum resources to support a variety of applications and also lays a huge burden on the Base Station. D2D skips the need

With the rapid development of automated vehicle (AV) technologies, unsignalized intersection scenario has attracted a lot of research attentions in the field of intelligent transportation system (ITS). In this paper, to improve the real-time unsignalized intersection coordination performance and guarantee the reliability of vehicle scheduling, a distributed and scalable scheduling algorithm (DSA) for

Network function virtualization (NFV) is a well-accepted software-defined network (SDN) architecture concept. NFV is severally used in cloud platform to enhance the utilization of available network resources. The concept behind NFV is a design of software process architecture with a bunch of collaborative resource utilization functions. The progression of platform providers builds a communication service

In this paper, we propose efficient food traceability management techniques using the Internet of things and derive a solution for data transmission. The enhanced Petri net model is utilized for food traceability using the improved period data. The application of the food traceability is used to maintain the automation, minimized cost and reduced system complexity. The primary parameter for this system

Unmanned aerial vehicle is a promising technology in upcoming wireless networks due to its potential aerial feature and line-of-sight capability. Mobile edge computing systems that rely on unmanned aerial vehicles consider offloading computationally intensive tasks to unmanned aerial vehicle to be executed via a powerful edge server. In this paper, we exploit the power of device-to-device communications

People spend most of their life time in indoor environments and in all of these environments, Location Service Providers (LSPs) improve users’ navigation. Preserving privacy in Location Based Services (LBSs) is vital for indoor LBSs and fingerprinting based indoor localization method is an emerging technique in indoor localization. In such systems, LSP may be curious and untrusted. Therefore, it is

Recently Internet of Everything has emerged as integration of various IoT machines to which cloud computing provide storage to data and processing power to the geographically distributed IoT devices. In order to boost the efficiency of the system and Quality of Service(QoS), fog layer is added in the existing cloud infrastructure. Due to continuous increase in the time sensitive applications, reduction

With the development of 5G mobile networks, people’s demand for network response speed and services has increased to meet the needs of a large amount of data traffic, reduce the backhaul load caused by frequently requesting the same data (or content). The file is pre-stored in the base station by the edge device, and the user can directly obtain the requested data in the local cache without remotely

The cloud storage is the best option to outsource big data, as the cloud has the capability of storing a huge volume of data. However, cloud storage brings new concerns for privacy, fine-grained access control and data duplication, which are crucial for big data storage in the cloud. Existing solutions of data duplication over encrypted data schemes do not provide fine-grained access control. Recently

Efficient data routing in 5G radio access networks is still a challenging issue in present days. Therefore, Peer to Peer Communication Framework along with Ambient Service implementation for 5G networks is proposed to support Radio Access Network (RAN). RAN management energetically monitors network traffic for various backhaul networks. In addition, for supporting different Quality of Service (QoS)

Rainfall forecasting can guide human production and life. However, the existing methods usually have a poor prediction accuracy in short-term rainfall forecasting. Machine learning methods ignore the influence of the geographical characteristics of the rainfall area. The regional characteristics of surface and high-altitude make the prediction accuracy always fluctuate in different regions. To improve

VANET is an emerging area of wireless ad-hoc networks to contribute in the success of connected vehicles projects. The extremely changeable number of mobile nodes and high mobility are challenging issues. Furthermore, this particular network has several problems in term of defining suitable schemes and protocols like rate adaptation mechanisms. The overall performance of diverse applications in VANET

A popular data acquisition technique for Wireless Sensor Networks (WSNs) is usage of static sink. However, this results in hot-spot or sink-hole problem as the sensor nodes near the sink die as they disseminate the data of the entire network to the sink node. In this work, in order to alleviate these problems, mobile sink (MS) is used. However, designing an optimal trajectory for mobile sink traversal

The focus of this paper is to design and develop a Peer-to-Peer Presentation System (P2P-PS) that supports E-learning through live media streaming coupled with a P2P shared whiteboard. The participants use the “ask doubt” feature to raise and resolve doubts during a session of ongoing presentation. The proposed P2P-PS system preserves causality between ask doubt and its resolution while disseminating

The authentication system plays a crucial role in the context of GLObal MObility NETwork (GLOMONET) where Mobile User (MU) often need to seamless and secure roaming service over multiple Foreign Agents (FA). However, designing a robust and anonymous authentication protocol along with a user privacy is essential and challenging task. Due to the resource constrained property of mobile terminals, the

Beyond Fifth Generation (B5G) network aims to provide a very high data rate with minimum latency to an ultra-dense user environment. To achieve this demand, the possible approaches are network-centric and device-centric approach. In a network-centric approach, a new frequency band is introduced, and the existing network infrastructure is modified. The device-centric approach does not require any modification

Dynamic participation of nodes, also known as churn, is quite common in P2P networks, and Bitcoin network is no exception. The impact of churn becomes more pronounced when nodes with different roles and functionality exist. In this paper we analyze node churn in Bitcoin network where ordinary nodes generate transaction traffic and distribute and verify blocks, while relay nodes that just distribute

Nowadays, the infrastructure for major broadband networking in cellular communication introduces 6G-Network in a box (6th Generation-NIB) mobile phone networks. As surveyed, the functional execution of 6G-NIB networks addresses several unresolved problems, like assigning power to all points, power management, and efficient distribution. Hence, these unresolved issues have been taken into consideration

Internet of Things (IoT) design focuses on concurrently handling multiple tasks for improving the scalability and robustness of the information sharing platform. Therefore, sophisticated resource allocation and optimization methods are necessary to prevent backlogs in request processing and resource allocation. This paper introduces a scalable resource allocation framework that is designed to maximize

The new generation telecommunications is growing at a spectacular pace and Device-to-Device (D2D) communication networks plays major role to meet the growing demands by billions of connected devices over the globe. Generally, indoor based D2D communication networks relays on distributed small cell solutions for better connectivity. This research proposes Signal-to-Interference-plus-Noise Ratio (SINR)

In today’s cyber era, Internet of Things (IoT) based products are increasingly adopted by users for various purposes. Accesses to these systems are facilitated via a web application to the end user. Traditionally, Phishing attacks were targeted toward banking and financial systems. With the rise in usage of IoT, the attack surface increases. Along with IoT specific attacks, attackers are targeting

With the recent advancement in Industrial Internet of Things (IIoT), general programmable logic controllers (PLCs) have been playing more and more critical roles in industrial control systems (ICSs), such as providing local data processing, decentralized control and fault diagnosis. These so called edge-PLCs, directly receive the raw data from sensors embedded in factory equipments, put them into predefined

In today’s world, the Internet of Things (IoT) has become more relevant owing to the growth in smart grid, smart city and smart home applications. Network sustainability is considered as a significant characteristic for IoT based applications. Wireless Sensor Network (WSN) offers such network sustainability where WSN is acted as the subnets in the IoT model. However, the multi-objectives like coverage

Internet of Things (IoT) entities compile a massive volume of sensing data and transmit it to the cloud for processing and reasoning. Reliable and secure data aggregation and forwarding in IoT incorporates resource-constrained low-power and lossy devices that served diverse and sensitive applications with special obligations is a significant challenge for IoT. This paper proposes Reliable Data Dissemination

The cloud offers more services across multiple infrastructures and rapidly growing areas of development in medical care. In the cloud, Network virtualization allows multiple isolated virtual networks (VNs) for flexible sharing of network resources. The virtual network mapping in Network virtualization provides the dynamic virtual node and link resources to satisfy the user needs. The major challenges

Wireless Sensor Network (WSN) is used in many applications for different roles, such as monitoring, data transmitting, information gathering, and so on. However, managing energy in WSN is a critical task. To end this issue several clustering and heuristic strategies were constructed still, a suitable solution is not found. So the current research proposed a novel African Buffalo based Two Tier Data

With the advent of IoT and the seamless advent of the ubiquitous network using the 5G technologies, the ability to provide a continuous service is the requirement of every Internet Service Provider (ISP). The IoT presents a network of humongous network size, troubleshooting and maintaining this network is a challenge, in light of this an automated system to do network diagnostics and predictive self-healing

Distributed Internet of Things (Distributed IoT) is a large-scale, heterogeneous, dynamic distributed architecture environment which is gradually formed based on Internet of Things (IoT) technology. In order to cope with the large number access requirements for IoT data brought by application expansion, the data of IoT devices are usually stored in the management server (DMS) of current domain, and

In the current Internet, periodic software update is essential to maintain systems secure from malicious attacks. In case of proliferated software, e.g., Operating System (OS), the distribution server for update tends to be a bottleneck, due to the concentration of users’ requests. To tackle this problem, several systems, e.g., Windows Update, have been applying the Peer-to-Peer (P2P) file distribution

Peer-assisted networks have recently emerged as an excellent tool for distributing video contents across the Internet. High peers’ participation and cooperation in peer-assisted networks can drastically reduce the bandwidth cost, increased scalability and ease of deployment. However, the main factor which limits effective distribution of resources in this network is free riding; a situation in which