Mobile edge computing (MEC) is a promising paradigm to provide cloud-computing capabilities in close proximity mobile devices fifth-generation (5G) networks. In this paper, we study energy-efficient computation offloading (EECO) mechanisms for MEC 5G heterogeneous We formulate an optimization problem minimize the energy consumption of system, where cost both task and file transmission are taken into consideration. Incorporating multi-access characteristics network, then design EECO scheme,...

Computation offloading services provide required computing resources for vehicles with computation-intensive tasks. Past computation research mainly focused on mobile edge (MEC) or cloud computing, separately. This paper presents a collaborative approach based MEC and that offloads to automobiles in vehicular networks. A cloud-MEC problem is formulated through jointly optimizing decision resource allocation. Since the non-convex NP-hard, we propose allocation optimization (CCORAO) scheme,...

Cloud-based vehicular networks are a promising paradigm to improve services through distributing computation tasks between remote clouds and local terminals. To further reduce the latency transmission cost of off-loading, we propose cloud-based mobileedge computing (MEC) off-loading framework in networks. In this framework, study effectiveness transfer strategies with vehicle-to-infrastructure (V2I) vehicle-to-vehicle (V2V) communication modes. Considering time consumption task execution...

In Internet of Vehicles (IoV), data sharing among vehicles for collaborative analysis can improve the driving experience and service quality. However, bandwidth, security privacy issues hinder providers from participating in process. addition, due to intermittent unreliable communications IoV, reliability efficiency need be further enhanced. this paper, we propose a new architecture based on federated learning relieve transmission load address concerns providers. To enhance model parameters,...

Digital twin network (DTN) is an emerging that utilizes digital (DT) technology to create the virtual twins of physical objects. DTN realizes co-evolution between and spaces through DT modeling, communication, computing, data processing technologies. In this article, we present a comprehensive survey explore potentiality DT. First, elaborate key features definitions DTN. Next, technologies technical challenges in are discussed. Furthermore, depict typical application scenarios, such as...

The increasing integration of the distributed renewable energy sources highlights requirement to design various control strategies for microgrids (MGs) and microgrid clusters (MGCs). multiagent system (MAS)-based coordinated show benefits balance power energy, stabilize voltage frequency, achieve economic operation among MGs MGCs. However, complex diverse combinations generations (DGs) in MAS increase complexity operation. In order optimized configuration strategy using MAS, topology models...

Emerging technologies, such as digital twins and 6th generation (6G) mobile networks, have accelerated the realization of edge intelligence in industrial Internet Things (IIoT). The integration twin 6G bridges physical system with space enables robust instant wireless connectivity. With increasing concerns on data privacy, federated learning has been regarded a promising solution for deploying distributed processing networks. However, unreliable communication channels, limited resources,...

Led by industrialization of smart cities, numerous interconnected mobile devices, and novel applications have emerged in the urban environment, providing great opportunities to realize industrial automation. In this context, autonomous driving is an attractive issue, which leverages large amounts sensory information for navigation while posing intensive computation demands on resource constrained vehicles. Mobile edge computing (MEC) a potential solution alleviate heavy burden devices....

The increasing number of smart vehicles and their resource hungry applications pose new challenges in terms computation processing for providing reliable efficient vehicular services. Mobile Edge Computing (MEC) is a paradigm with potential to improve services through offloading close proximity mobile vehicles. However, the road dense traffic flow, limitation these MEC servers may endanger quality service. To address problem, we propose hierarchical cloud-based Vehicular (VEC) framework,...

Edge intelligence is a key enabler for IIoT as it offers smart cloud services in close proximity to the production environment with low latency and less cost. The need ubiquitous communication, computing, caching resources 5G beyond will lead growing demand integrate heterogeneous into edge network. Furthermore, distributed can make resource transactions vulnerable malicious nodes. Ensuring secure under complex industrial networks big challenge. In this article, we present an blockchain...

Internet of Vehicles (IoVs) is highly characterized by collaborative environment data sensing, computing and processing. Emerging Big Data Artificial Intelligence (AI) technologies show significant advantages efficiency for knowledge sharing among intelligent vehicles. However, it challenging to guarantee the security privacy during process. Moreover, conventional AI-based algorithms cannot work properly in distributed vehicular networks. In this paper, a hierarchical blockchain framework...

Along with modern wireless networks being content-centric, the demand for rich multimedia services has been growing at a tremendous pace, which brings significant challenges to mobile in terms of need massive content delivery. Edge caching emerged as promising approach alleviate heavy burden on data transmission through and forwarding contents edge networks. However, existing studies always treat storage computing resources separately, neglect mobility characteristic both nodes end users....

IoT, a heterogeneous interconnection of smart devices, is great platform to develop novel mobile applications. Resource constrained however, often become the bottlenecks fully realize such developments, especially when it comes intensive-computation-oriented and low-latency-demanding MEC promising approach address challenges. In this article, we focus on applications for energy efficiency as well offloading performance in terms end-user experience. regard, present mobility-aware hierarchical...

Vehicular Edge Computing (VEC) is a promising paradigm to enable huge amount of data and multimedia content be cached in proximity vehicles. However, high mobility vehicles dynamic wireless channel condition make it challenge design an optimal caching policy. Further, with much sensitive personal information, may not willing their contents untrusted provider. Deep Reinforcement Learning (DRL) emerging technique solve the problem high-dimensional time-varying features. Permission blockchain...

The rapid development of artificial intelligence and 5G paradigm, opens up new possibilities for emerging applications in industrial Internet Things (IIoT). However, the large amount data, limited resources devices, increasing concerns data privacy, are major obstacles to improve quality services IIoT. In this article, we propose digital twin edge networks (DITENs) by incorporating into fill gap between physical systems spaces. We further leverage federated learning construct models IoT...

Emerging technologies, such as mobile-edge computing (MEC) and next-generation communications are crucial for enabling rapid development deployment of the Internet Things (IoT). With increasing scale IoT networks, how to optimize network allocate limited resources provide high-quality services remains a major concern. The existing work in this direction mainly relies on models that less practical value resource-limited can hardly simulate dynamic systems real time. In article, we integrate...

The rapid development of industrial Internet Things (IIoT) requires production towards digitalization to improve network efficiency. Digital Twin is a promising technology empower the digital transformation IIoT by creating virtual models physical objects. However, provision efficiency in very challenging due resource-constrained devices, stochastic tasks, and resources heterogeneity. Distributed networks can be efficiently exploited through computation offloading reduce energy consumption...

Technological advancements of urban informatics and vehicular intelligence have enabled connected smart vehicles as pervasive edge computing platforms for a plethora powerful applications. However, varies types with distinct capacities, diverse applications different resource demands well unpredictive topology, pose significant challenges on realizing efficient services. To cope these challenges, we incorporate digital twin technology artificial into the design network. It centrally exploits...

Mobile edge computing (MEC) has emerged as a promising paradigm to realize user requirements with low-latency applications. The deep integration of multi-access technologies and MEC can significantly enhance the access capacity between heterogeneous devices platforms. However, traditional network architecture cannot be directly applied Internet Vehicles (IoV) due high speed mobility inherent characteristics. Furthermore, given large number resource-rich vehicles on road, it is new...

With the fast advancements of electronic chip technologies in Internet Things (IoT), it is urgent to address copyright protection issue intellectual property (IP) circuit resources devices IoT environments. In this article, a deep-reinforcement-learning (DRL)-based detection algorithm for virtual IP watermarks proposed by combining mapping function and DRL preprocess ownership information resource. The deep <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML"...

5G beyond is an end-edge-cloud orchestrated network that can exploit heterogeneous capabilities of the end devices, edge servers, and cloud thus has potential to enable computation-intensive delay-sensitive applications via computation offloading. However, in multi user wireless networks, diverse application requirements possibility various radio access modes for communication among devices make it challenging design optimal offloading scheme. In addition, having complete information...

Blockchain technology is rapidly changing the transaction behavior and efficiency of businesses in recent years. Data privacy system reliability are critical issues that highly required to be addressed environments. However, anomaly intrusion poses a significant threat Blockchain, therefore, it proposed this article collaborative clustering-characteristic-based data fusion approach for detection Blockchain-based system, where mathematical model designed an AI used train analyze clusters...

The rapid proliferation of smart vehicles along with the advent powerful applications bring stringent requirements on massive content delivery. Although vehicular edge caching can facilitate delay-bounded transmission, constrained storage capacity and limited serving range an individual cache server as well highly dynamic topology networks may degrade efficiency To address problem, in this article, we propose a social-aware mechanism that dynamically orchestrates capability roadside units...

The Internet of Things (IoT) platform has played a significant role in improving road transport safety and efficiency by ubiquitously connecting intelligent vehicles through wireless communications. Such an IoT paradigm however, brings considerable strain on limited spectrum resources due to the need continuous communication monitoring. Cognitive radio (CR) is potential approach alleviate scarcity problem opportunistic exploitation underutilized spectrum. However, highly dynamic topology...

Cloud-based vehicular networks is a new paradigm to improve the services through distributing computation tasks between remote clouds and local terminals. To further reduce latency transmission cost of offloading, we propose cloud-based Mobile Edge Computing (MEC) offloading framework in networks. In framework, efficient strategies are designed contract theoretic approach. We obtain optimal feasible contracts that maximize benefit MEC service provider while enhancing utilities vehicles....