The global food supply chain industry has embraced digitalization and has changed consumer’s day-to-day lives in many aspects. Efficient tracking of food products when within the supply chain ensures the safety of the end consumers. However, today’s food supply chain industry falls short of providing dependable tracing of food products due to a lack of visibility and transparency in tracking the food

The fifth-Generation mobile network introduces a new technology called Device-to-device (D2D) Communication which allows User Equipment (UE) to communicate directly with each other, without the need for Base Station or Evolved Node–B (eNB). Thus the mobile data traffic over the eNB can be reduced and throughput can be increased. The objective of this paper is to provide relaying service in cellular

Link backup is an important factor in the fault tolerance of SDN. The current research directions are proactive schemes and reactive schemes. The proactive schemes deploy the backup flow rules in the switches in advance and reserve the backup bandwidth. In reactive schemes, the controller calculates the backup path when a failure occurs. The proactive scheme easily causes the switch and link bandwidth

Aiming at the problem of unreliable data quality caused by sensing node uncertainty in mobile crowd sensing, a cross-domain collaborative filtering trusted sensing node recommendation method based on SDN is proposed. Firstly, SDN is introduced to decouple the service surface and the control surface, and it is convenient to manage sensing nodes and reduce the burden of server for task allocation. Then

With the advent of mobile Internet and IoT era, various smart terminals generate a large amount of data at the edge of the network, and how to transmit and process these data at high speed poses a challenge to the traditional communication networks. Edge computing, as an emerging framework, can improve the communication capability and data processing capacity of traditional communication networks by

Personalization in Health Care services has gained popularity in recent years with the advancement and rapid deployment of wearable devices, smartphones with powerful sensors, Internet of Things, and Telemedicine solutions. It has now become necessary that the patient keeps the ownership of the personal medical data, securely organizes and shares them with the remaining anonymous in the system. In

Due to low-cost, ease of use and convenience, Radio Frequency IDentification (RFID) is a contactless technology that has become more and more promising for automatic identification of an object and people without physical contact. However, the RFID system faces major issues related to its security and privacy, where an adversary may eavesdrop, temper, modify, and intercept the transmitted messages

With the proliferation of smartphones, recent years have witnessed the rapid development of smartphone-based indoor navigation systems. However, existing solutions either bear high deployment cost or cannot support large-scale navigation. A scalable and plug-and-play indoor navigation system is still highly desirable. In this paper, we propose DeepNav, a new indoor navigation system that fully uses

Forest fires have been disastrous to civilizations since time immemorial causing damage to life and property. The human civilization has lived with a pressing need to devise a method to quickly detect and safely transmit fire alerts to minimize losses. This work presents a novel framework for Blockchain and EdgeDrone based Secured Data Delivery for Forest Fire Surveillance (BESDDFFS). A detailed three-layer

The development of smartphones and social networks has brought great convenience to our lives. Due to the increasing requirements of user privacy, user data are protected by encryption protocol. Nevertheless, the encrypted traffic may still be identificated by a third party. In order to improve the privacy protection of users, it is necessary to study the existing encrypted user behavior system. The

In Blockchain networks involving multiple applications, the quality of service of an application is affected by the transaction ordering. For instance, upon issuing payment transactions, users of an application would like to be notified quickly on the transactions approval. The application can be a financial institution (such as a bank), sharing the blockchain with other such applications and is represented

As one of the most promising networks, the air-ocean integrated networks (AOINs) composed of unmanned aerial vehicles (UAVs) and unmanned surface vehicles (USVs) meet a variety of requests from different maritime missions with the characteristics of seamless, high-rate, and reliable transmission. However, due to the limited storage capacities of UAVs and uncertain navigation paths of USVs, it is challenging

In data outsourcing services, to ensure data security and user privacy, data is usually stored in cloud servers in ciphertext form. This method makes users face the problem of how to search the keywords in the ciphertexts. Although the Dynamic Searchable Symmetric Encryption (DSSE) schemes can solve this problem, most DSSE schemes assume that all the data is stored in a single cloud server. The assumption

With node mobility characteristics and the harsh network environment of opportunistic networks, apron opportunistic networks have some problems. In this paper, with message forwarding a topology control routing strategy (MFATCR) is proposed to handle the issues mentioned above. To improve the overall delivery ratio of the network, in the early stage, the forwarding priority is determined in line with

Rateless codes (a.k.a. fountain codes, digital fountain) have found their way in numerous peer-to-peer based applications although their robustness to the so called pollution attack has not been deeply investigated because they have been originally devised as a solution for dealing with block erasures and not for block modification. In this paper we provide an analysis of the intrinsic robustness of

Cloud computing has been one of the disruptive technologies to change the traditional application operation for the last decades. The success of Cloud boosts ever more newly-built data centers. Although these data centers are distributed all around the world, the computing resources are managed in a relatively centralized manner within one big data center. For a specific small area, the centralized

Mobile Ad hoc Network (MANET) is a popular mlobile network that facilitates more emergency services. However, achieving a high quality of service (QoS) and less energy consumption in MANETs remains a challenge owing to their ad hoc nature. To address these shortcomings, this paper designed a stable zone-based 5G clustered MANET environment.. The integration of the MANET with 5G communication aims to

The real estate markets currently hold and contribute a fair share of any country’s gross domestic product. In real estate transactions, stamp duties produce income that adds to the government funds. However, the transactions in real estate may be subjected to forgery through fraudulent papers or activities. Many reforms have been proposed but distributed ledger technology offers solution to most of

This paper presents the versatile approach, called Neural-Fuzzy based Effective Clustering (NFEC), for Large-Scale wireless sensor network (WSN) with Mobile Sink. The proposed protocol NFEC presents the effectiveness of existing approaches with proposed NFEC in terms of stability period and network lifetime for homogeneous and heterogeneous network environment. The NFEC protocol utilizes the concept

Attribute-based encryption (ABE) provides a fine-grained access control mode for multiuser network environments. The popularity of 5th generation (5G) mobile network applications has greatly increased the data transmission rate, but mobile terminal devices with limited resources in the network have difficulty with the high computational overhead of ABE in wireless communication. In response to this

The Quality of Service (QoS) of the Mobile Adhoc Network (MANET) is dependent on various factors like clustering nodes, route selection, and how data transmission is performed. Towards this, there exist numerous techniques in clustering the mobile nodes and securely performing data transmission. Still, the methods struggle to achieve expected QoS performance. When it comes to data communication, MANETs

With the development of the Internet of Things (IoT), mobile medical systems based on wireless body area networks (WBAN) have aroused extensive attention. Wearable wireless medical devices have emerged to meet the demand for high-quality medical services that brought great convenience to people’s lives. However, attackers pose a latent threat to users’ medical information privacy, and identity is easy

With the advent of 5G era and the development of personal mobile devices, people’s demand for information and bandwidth is growing exponentially. In the traditional social network and its routing algorithm, there are only a few fixed source nodes and transmission mode. The huge amount of data may lead to delay and loss of data transmission and even the collapse of the source node. In order to solve

Non-orthogonal multiple access (NOMA) is expected to play a critical role in heterogeneous networks (HetNets) for beyond fifth-generation (5G) wireless systems. The unrivaled benefits of NOMA along with the multi-tier architecture of HetNets has the potential to significantly improve the performance of cellular networks. Motivated by such possibilities, this article provides a new resource optimization

The location information of sensor nodes plays a vital role in the monitoring activities of wireless sensor networks. The wireless sensor network positioning algorithm based on multi-dimensional scale is very important in the multi-target positioning of wireless sensor network. Based on the analysis of the classic MDS-MAP positioning algorithm, the paper proposes the MDS-MAP(D) positioning algorithm

Recently, data-based services have played a significant role in satisfying various of requirements of people in social IoT. Since data is the basis of data-based service, therefore, it is significant to obtain trust data to enhance trust services. Few researches optimized trust issue of services from this point of view before. Therefore, based on this domain, this paper proposes a novel service computing

Recently, routing is considered the main problem in MANET due to its dynamic nature. The route discovery and the optimal route selection from the multiple routes are established for the efficient routing in MANET. The major objective of this research is to select the optimal route for packet transmission in MANET. In this paper, four stages namely trust evaluation, route discovery, optmal route selection

Due to recent advancements and the success of versatile mobile applications, more and more services around the globe are being moved to the cloud. As a result, its limitations have become more evident. The major issues that cloud-based applications face include large latency, bottlenecks because of central processing, compromised security, and lack of offline processing. The drawbacks of cloud computing

Adversarial training has become one of the most widely used methods to defense the attack of adversarial examples, since its properties of improving the robustness of neural networks. To achieve this, many representative works have been proposed to optimize the hyper-parameters in the adversarial training, so as to obtain the optimal trade-off between model classification accuracy and robustness. However

Spectrum sensing (SS) is a concept of cognitive radio systems at base transceiver stations that can find the white space i.e. licensed spectrum owned by primary users (PU), for transmission over a wireless network without any channel interference. The cognitive radio network is designed to overcome the problem of the limited radio frequency spectrum as most of the applications are dependent on wireless

Routing services in next generation networks not only need to provide good transmission quality in heterogeneous network environments, but also need to meet the differentiated performance requirements of different applications. For example, real-time applications require low latency performance guarantees, while low-cost applications pay more attention to strict cost guarantees. Recently, deep learning

Vehicular ad hoc network(VANET) is the application of mobile ad hoc networks (MANETs) on the road of traffic. It is an important issue to achieve secure sharing of information among vehicles. Authenticated key agreement (AKA) is a good option to solve the problem. The security proofs of all known identity based two-party authenticated key agreement (IB2PAKA) schemes are given in the random oracle model(ROM)

This paper investigates the wireless powered mobile edge computing (WP-MEC) system, which consists of an energy transmitter (ET) with multiple antennas, an MEC server and multi wireless devices (WDs) with single antenna. The ET transfers energy to WDs via energy beamforming. Each WD harvests energy to power its operations, i.e., computing tasks locally and offloading partial tasks to the MEC server

With the rapid growth of connected devices, Internet of Things (IoT) has been gradually adopted in many fields such as industry. The Industrial IoT (IIoT) devices are typically deployed in noisy environments for supporting critical applications, which require flexibility and efficiency of network management, i.e., timely collection and processing of environmental data. Focused on this issue, in this

This paper proposes an adaptive routing and spectrum assignment protocol for heterogeneous Full-duplex (FD) and half-duplex (HD) cognitive radio (CR) networks. The key design goal of the developed protocol is to select a path between a source-destination pair, and to optimally assign channels to each hop along the selected path. One main feature of the proposed protocol is that it takes into account

Resource allocation strategy is drawing much more attention in satellite networks due to limited resources, e.g., limited observation resources and transmission resources. For earth observation tasks, not all potential observation tasks are being observed, and not all observation data can be transmitted to the ground station. It is especially crucial to improve the efficiency of resource utilization

Now-a-days computational offloading and quick disease prediction are identified as major difficult troubles of smart healthcare systems. As cloud based healthcare is primarily far away from remote patients which leads to high latency, bandwidth and computational usage at some point in real-time monitoring and diagnosis. Due to the expanded demand of real-time healthcare applications, there’s a want

Smart agriculture Internet of Things (IoT) is a typical application of IoT and has become popular due to its advantages in automatic irrigation and fertilization, crop growth monitoring, pest and disease detection, etc. To reduce resource waste, minimize environmental impact, and maximize crop yield, most smart agricultural applications require to collect and process agricultural data in real-time

In recent years, the extensive application of biometric identification has been witnessed in various fields, such as airport service, criminal investigation, counter-terrorism and so on. Due to the sensitivity of the biometric data, people’s concern over the leakage of their biometric data is a critical obstacle to hinder the future adoption of biometric identification applications. To address this

IoT supports a spectrum of applications, each of which has certain specific requirements. For instance, mission critical applications cannot tolerate delay in data transmission however simple monitoring applications are delay tolerant. The lifetime and performance of IoT sensor networks depend on the metric/constraint (ETX, Energy etc.) selected for routing path, data size and quality of service required

How to place and deliver the videos through edge caching networks is a hot and open issue on releasing the heavy loads of backhaul link caused by explosive growth of data traffic and frequent requests. To address this issue, a joint video caching and transmission scheme is studied. In specific, the successful transmission probability, energy efficiency and system average delay are first derived based

In recent years, the news industry, digital rights management, digital advertising, content production and social media are facing inevitable problems, such as fake news spreading, press freedom conflicts, advertising fraud, difficulties in digital rights management, defects in content production mechanisms, and rumor spreading aggravated by social media. Fortunately, the development of blockchain

In this paper, we consider the computation offloading optimization problem with heterogeneous resources in a fog-cloud computing system. The problem is common in many real-time and mobile applications, where tasks are massive and computation-intensive, and the computing resources could involve both fog devices and cloud platforms. The challenges lie in proposing effective, efficient and robust algorithms

With the elevation of terminal devices, network traffic has also grown with rapid speed. To relieve cloud computing constraints on timely delivery, energy consumption, and congestion, fog computing is introduced to provide proximate and spot-on services to network devices. In fog environment, resource-deprived user nodes can offload their multi-task to network periphery situated fog nodes. However

Public blockchain enables decentralized trust models in distributed systems. The programmable features such as smart contracts and decentralized applications are attracting application developers, systems integrators, and users to adopt public blockchain systems for a large plethora of applications across all industries. However, the abundance and variety of features in immature blockchain ecosystems

Ephemeral vehicular ad hoc networks (VANETs) are large decentralized, distributed networks that communicate by exchanging information about their surroundings to make informed, real time decisions. However, a VANET, is neither trustworthy nor scalable. Currently, centralized trusted authorities determine the trustworthiness of the vehicles in the network. This is very inefficient. This paper addresses

In recent years, software update has become one of the essential functions in the current Internet to maintain devices safe from a various types of attacks. If the number of software users is enormous, distribution servers tend to be bottlenecks, due to the access concentration. To alleviate this problem, several systems (e.g., Windows update) have started applying peer-to-peer (P2P) file distribution

Since autonomous underwater vehicles (AUVs) are increasing popular in maritime applications, underwater wireless communication with multiple users is becoming more important and practical. In this paper, we investigate the resource allocation in underwater acoustic networks (UAN) with time division multiple access (TDMA) technique. When the uncertain channel state information (CSI) derived from the

Blockchain includes distributed records that are immutable and transparent through replicating among public or private networks. The open-source Ethereum is one of the emerging blockchain platforms featuring smart contracts. The private Ethereum has been obtaining interest due to its applicability in various applications, including the Internet of Things (IoT). Hence, understanding and quantifying

In parking edge computing, the service providers can engage the parking vehicles to provide computing services. The requesting vehicles can enjoy the advantages of the parking computing services with no need to build expensive equipment locally, whereas the parking vehicles can sell the computing resources to gain benefits. However, in an open parking computing system, the identity of each entity is

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.