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

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

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

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

Internets of Things (IoT) devices rely on self-powered energy sources for communication and information exchange. The functions of the devices rely on the available energy for which, conservation of energy expenses becomes necessary. This aids to retain the lifetime of the communicating devices and to augment the seamlessness of information exchange. This article introduces transmission adaptive mode

The traditional wiring connection of tractors faces difficulty in meeting the requirements of information sharing, high real-time performance, and high reliability among the electronic control units of electric tractors. This study takes a bifurcated power electric tractor as an example and designs the CAN communication network system of a bifurcated power electric tractor on the basis of ISO 11783

The vehicular ad hoc network (VANET) is a self-organized and decentralized wireless ad hoc network formed by the mobile vehicles on demand to communicate the traffic-related valuable information among the vehicles. The mobile vehicles work as a node because they use to either send or receive traffic-related information in the network. The vehicles can communicate within restricted distance but mobility

Attribute-based encryption (ABE) is a powerful cryptographic primitive for access control and fine-grained sharing on encrypted data. Due to this functionality, ABE is usually adopted in encrypted cloud storage for flexible data sharing. However, the main drawback of ABE is that the computational cost grows linearly with the complexity of the access policy. One of the promising solutions for the problem

Network in a Box (NIB) assimilates hardware and software composition in a portable form where the network functions are expanded in an ad-hoc manner. The explicit environmental features do not provide sufficient information instantly. Therefore, to cope up with the explicit environmental conditions and to maximize the data aggregation process, scalable aggregation plan (SAP) for NIB is introduced in

The mode selection and resource allocation are important issues in Device-to-Device (D2D) communication, which have been investigated in single Base Station (BS) cellular network. However, the joint problem of the base station selection, mode selection and resource allocation is a challenging issue. Because the mode selection, base station and resource allocation are inter-coupled with each other.

A community is sub-network inside P2P networks that partition the network into groups of similar peers to improve performance by reducing network traffic and high search query success rate. Large communities are common in online social networks than traditional file-sharing P2P networks because many people capture huge amounts of data through their lives. This increases the number of hosts bearing

Emergency vehicles (EVs) are significant in disseminating sensitive information across the road-side communication networks. This amalgamation of vehicles and communication networks improves the reachability and accessibility of sensitive data along the driving scenario. However, the communication network experiences data and traffic congestion due to wireless medium and varying vehicle densities.

Smart Grid technology with the help of Information Technology (IT) adds many benefits to the traditional grids, but security concerns and especially privacy preserving of users is still a major practical issue. Establishing a secure and reliable communication channel between smart meters and service provider can guarantee data privacy in AMI network. This secure channel can be established with data

With the rapid development of the Internet, Peer to Peer(P2P) network has been applied in various fields. Users in P2P network also have a large amount of data, but users cannot provide enough storage space locally. More and more users choose to upload their own data to cloud server in order to save overhead and facilitate sharing their own data with other users. In order to ensure data security, researchers

Internet Gateway(IGW) main role is detecting availability nodes and providing internet to Mobile Ad Hoc Network(MANET) have whenever connected to internet. Discovery time of gateway is changed based on the throughput and packet delay. Many of the situations the mobile nodes are have fixed host connection to the internet using minimum hop path, it is not good for waiting packets because of that packets

Blockchain, the underlying technology of the Bitcoin cryptocurrency, is an innovation of information technology. The blockchain technology has been widely applied in the evidence storage scenarios to prove that an event occurred at a certain time due to its publicity and immutability. However, the timestamp of a block in the blockchain is introduced by the blockchain node and can be manipulated in

In existing authentication schemes for vehicular ad hoc networks (VANETs), the public key infrastructure (PKI)-based pseudonym certificate, identity-based encryption and group signature technology are usually used to preserve the security and privacy. However, these schemes face some challenges, e.g., the time-consuming certificate revocation list (CRL) checking, identity revocation issue and the computation

As an emerging training model, federated deep learning has been widely applied in many fields such as speech recognition, image classification and classification of peer-to-peer (P2P) Internet traffics. However, it also entails various security and privacy concerns. In the past years, many researchers have been carried out toward elaborating solutions to alleviate the above challenges via three underlying

In this paper, we consider a cognitive radio system, where multiple secondary users coexist with one primary user. To improve the transmission efficiency of the system, we propose a cooperative spectrum sharing protocol with secondary user selection by using decode-and-forward and two-path successive relaying techniques. Furthermore, we derive the close-form of outage probability of the primary system

Fracturing surface micro-seismic monitoring technology is widely used in fracturing surface. Micro- seismic monitoring conducted by means of the internet is composed of a large number of geophones laid on the ground to collect subsurface micro seismic signals and monitor fracturing fractures. With the advantages of a large amount of monitoring data, flexible layout, easy adjustment, and low cost. The

Recent research in communication moves towards cyber space with modern applications such as multimedia surveillance, smart autonomous traffic control, advanced health care monitoring, industrial automation, and continuous remote environmental and structural monitoring. Such applications are extensively generates multimedia information and converse through Wireless Multimedia Sensor Networks (WMSNs)

Humanoid robots generally have the problem of losing balance and falling down when voltage of joints decreases, which results in damage of hardware devices like mechanical structure and circuit control board. In order to deal with this problem, we simplified the stable control model of a humanoid robot into a quadruple inverted pendulum, corresponding to the robot’s shanks, thighs, torso, and arms

In recent years, the scale of the energy Internet of Things has been rapidly increased, and the number of IoT device connections has grown exponentially. Massive device access makes the network more open and complex, and brings huge information security risks. Privacy and transmission storage issues have become one of the important factors restricting the development of the energy Internet of Things

Visual Simultaneous Localization and Mapping (vSLAM) are expected to promote the initiatives in Smart City including driverless cars and intelligent robots. Loop closure detection (LCD) is an important module in a vSLAM system. Existing works with convolutional neural networks exhibit better performance on feature extraction, but this is far from enough. Concerning the characteristics of LCD, it is

k-nearest neighbor (k-NN) query is widely applied to various networks, such as mobile Internet, peer-to-peer (P2P) network, urban road networks, and so on. The location-based service in the outsourced environment has become a research hotspot with the rise of cloud computing. Meanwhile, various privacy issues have been increasingly prominent. We propose an efficient privacy-preserving query protocol

The rapid growth of mobile data traffic, especially video streaming traffic, places a serious burden on cellular networks. D2D caching has emerged as a promising paradigm to alleviate network congestions, in which contents are cached at user terminals proactively and then shared among neighbor requesting users via D2D communications. In this paper, we study the content placement problem to maximize

Implementing pseudonymity, key-management, non-repudiation and data minimisation features in isolated procedures is trivial. However, integrating all of them in one consistent architecture has several challenges to tackle. This work proposes data structures to represent Self-Sovereign Identities and to handle those features in a consolidated architecture. Key-management is constructed using secret

With the advances of Information Communication Technology (ICT) and the popularity of intelligent terminals, Online Social Network, which is characterized by powerful functions of information publishing, dissemination, acquisition and sharing, has attracted a huge number of users and become one of the most popular internet application services currently. However, the growth of Online Social Network

Intelligent Transportation Systems have gained significant attention among Internet of Things applications due to its specific features and its high capability to promote the innovation of the automotive industries. As part of smart cities, smart mobility initiatives offer new opportunities for intelligent transportation systems to maximize the utilization of the time-sensitive data that are streaming

Research on the community structure of networks is beneficial for understanding the structure of networks, analyzing their characteristics and discovering the rules hidden in these networks. To address issues from previous community mining algorithms, such as the low rate of convergence and high time complexity, this study proposes an improved community structure discovery algorithm named CPMK-Means

5G wireless networks envision the usage of millimeter Wave (mmWave) frequencies for a manifold data rates and user capacity increase. However, the inherent line-of-sight (LoS) in mmWave communications raises significant challenges in providing seamless coverage across the dense 5G networks. Device-to-device (D2D) communications offer promising solutions for this LoS challenge by providing relay services

Password guessing attack is the most direct way to gain access to information systems. Using appropriate methods to generate password dictionary can effectively improve the hit rate of password guessing attacks. A Chinese syllables and Neural Network-based password generation method CSNN is proposed for Chinese password sets. This method treats Chinese Syllables as integral elements and uses them to

Functional encryption (FE) and predicate encryption (PE) can be utilized in deploying and executing machine learning (ML) algorithms to improve efficiency. However, most of existing FE and PE algorithms only consider generic functions. Actually, quadratic-functions-based FE and PE can be used to further reduce the computation costs significantly. In this paper, we present a functional encryption scheme

A blockchain is resistant to modification based on the consensus of the network majority, which requires a large amount of communication among distributed nodes. Existing data dissemination protocol solves the wrong block problem also at a high communication cost. This paper investigates the error-correcting tamper-proofing data storage problem and proposes a three-layer framework to store the data

The high possibility of attack is greatly attributed to the broadcast nature of the communication medium in which the sensor nodes operate; this makes eavesdropping of messages possible on the network. This paper proposes a privacy-aware sociopsychological trust and reputation management (PSTRM) model. The paper presents a model that models the ability of a node as a continuum based on the current

In order to solve the problem of resource constraints of mobile devices, fog computing is proposed to improve WAN delay for delay-sensitive and resource-intensive applications. To utilize the resource of fog-to-cloud efficiently and provide good quality-of-service in terms of delay and service failure probability, an improved three-layer fog-to-cloud architecture and schedule fit algorithm are proposed

Abstract This paper proposes a Device-to-Device cooperative caching framework for streaming video consumption by mobile users. For downloading video with cooperative caching, a mobile device first searches within its neighboring Bluetooth-connected peers for whole or parts of the requested video before downloading them from a Content Provider’s server. A specific cooperative caching framework, namely