Mobile edge computing (MEC) is an emergent architecture where cloud services are extended to the of networks leveraging mobile base stations. As a promising technology, it can be applied mobile, wireless, and wireline scenarios, using software hardware platforms, located at network in vicinity end-users. MEC provides seamless integration multiple application service providers vendors toward subscribers, enterprises, other vertical segments. It important component 5G which supports variety...

Internet of Things (IoT) is reshaping the incumbent industry to smart featured with data-driven decision-making. However, intrinsic features IoT result in a number challenges, such as decentralization, poor interoperability, privacy, and security vulnerabilities. Blockchain technology brings opportunities addressing challenges IoT. In this paper, we investigate integration blockchain We name synthesis things (BCoT). This paper presents an in-depth survey BCoT discusses insights new paradigm....

We propose a localized peer-to-peer (P2P) electricity trading model for locally buying and selling among plug-in hybrid electric vehicles (PHEVs) in smart grids. Unlike traditional schemes, which transport over long distances through complex transportation meshes, our proposed achieves demand response by providing incentives to discharging PHEVs balance local out of their own self-interests. However, since transaction security privacy protection issues present serious challenges, we explore...

In industrial Internet of things (IIoT), peer-to-peer (P2P) energy trading ubiquitously takes place in various scenarios, e.g., microgrids, harvesting networks, and vehicle-to-grid networks. However, there are common security privacy challenges caused by untrusted nontransparent markets these scenarios. To address the challenges, we exploit consortium blockchain technology to propose a secure system named blockchain. This can be widely used general scenarios P2P getting rid trusted...

The rapid increase in the volume of data generated from connected devices industrial Internet Things paradigm, opens up new possibilities for enhancing quality service emerging applications through sharing. However, security and privacy concerns (e.g., leakage) are major obstacles providers to share their wireless networks. leakage private can lead serious issues beyond financial loss providers. In this article, we first design a blockchain empowered secure sharing architecture distributed...

Demand Response Management (DRM) is a key component in the smart grid to effectively reduce power generation costs and user bills. However, it has been an open issue address DRM problem network of multiple utility companies consumers where every entity concerned about maximizing its own benefit. In this paper, we propose Stackelberg game between end-users maximize revenue each company payoff user. We derive analytical results for equilibrium prove that unique solution exists. develop...

The drastically increasing volume and the growing trend on types of data have brought in possibility realizing advanced applications such as enhanced driving safety, enriched existing vehicular services through sharing among vehicles analysis. Due to limited resources with vehicles, edge computing networks (VECONs) i.e., integration mobile networks, can provide powerful massive storage resources. However, road side units that primarily presume role servers cannot be fully trusted, which may...

All too often a seemingly insurmountable divide between theory and practice can be witnessed. In this paper we try to contribute narrowing gap in the field of ad-hoc routing. particular consider two aspects: We propose new geometric routing algorithm which is outstandingly efficient on practical average-case networks, however also asymptotically worst-case optimal. On other hand are able drop formerly necessary assumption that distance network nodes may not fall below constant value, an...

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...

In recent years, green energy management systems (smart grid, smart buildings, and so on) have received huge research industrial attention with the explosive development of cities. By introducing Internet Things (IoT) technology, cities are able to achieve exquisite by ubiquitous monitoring reliable communications. However, long-term efficiency has become an important issue when using IoT-based network structure. this article, we focus on designing system based edge computing infrastructure...

Providing ubiquitous connectivity to diverse device types is the key challenge for 5G and beyond (B5G). Unmanned aerial vehicles (UAVs) are expected be an important component of upcoming wireless networks that can potentially facilitate broadcast support high rate transmissions. Compared communications with fixed infrastructure, UAV has salient attributes, such as flexible deployment, strong line-of-sight (LoS) connection links, additional design degrees freedom controlled mobility. In this...

Mobile Edge Computing (MEC) is a promising technology to extend the diverse services edge of Internet Things (IoT) system. However, static server deployment may cause "service hole" in IoT networks which location and service requests User Equipments (UEs) be dynamically changing. In this paper, we firstly explore vehicle computing network architecture vehicles can act as mobile servers provide computation for nearby UEs. Then, propose vehicle-assisted offloading scheme UEs while considering...

In the era of Internet Things, all components in intelligent transportation systems will be connected to improve transport safety, relieve traffic congestion, reduce air pollution, and enhance comfort driving. The vision vehicles poses a significant challenge collection storage large amounts traffic-related data. this article, we propose integrate cloud computing into vehicular networks such that can share computation resources, bandwidth resources. proposed architecture includes cloud,...

The emergence of computation intensive and delay sensitive on-vehicle applications makes it quite a challenge for vehicles to be able provide the required level capacity, thus performance. Vehicular edge computing (VEC) is new paradigm with great potential enhance vehicular performance by offloading from resource-constrained lightweight ubiquitous VEC servers. Nevertheless, schemes, where all offload their tasks same server, can limit gain due overload. To address this problem, in paper, we...

Based upon cognitive radio technology, we propose a new Machine-to-Machine (M2M) communications paradigm, namely Cognitive M2M (CM2M) communication. We first motivate the use of technology in from different point views, including technical, applications, industry support, and standardization perspectives. Then, our CM2M network architecture machine model are presented systems coexistence TV white spaces is discussed. After that, for smart grid presented, which also an energy-efficiency...

Demand Response Management (DRM) is a key component of the future smart grid that helps to reduce power peak load and variation. Different from most existing studies focus on scenario with single utility company, this paper DRM multiple companies. First, interaction between companies residential users modeled as two-level game. That is, competition among formulated non-cooperative game, while an evolutionary Then, we prove proposed strategies are able make both games converge their own...

The blooming trend of smart grid deployment is engaged by the evolution network technology, as connected environment offers various alternatives for electrical data collections. Having diverse sharing/transfer means deemed an important aspect in enabling intelligent controls/governance grid. However, security and privacy concerns also are introduced while flexible communication services provided, such energy depletion infrastructure mapping attacks. This paper proposes a model permissioned...

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,...

EVCE computing is an attractive network paradigm involving seamless connections among heterogeneous vehicular contexts. It will be a trend along with EVs becoming popular in V2X. The act as potential resource infrastructures referring to both information and energy interactions, there are serious security challenges for such hybrid cloud edge computing. Context-aware applications identified according the perspectives of interactions. Blockchain-inspired data coins proposed based on...

Driven by technologies such as mobile edge computing and 5G, recent years have witnessed the rapid development of urban informatics, where a large amount data is generated. To cope with growing data, artificial intelligence algorithms been widely exploited. Federated learning promising paradigm for distributed computing, which enables nodes to train models locally without transmitting their server. However, security privacy concerns federated hinder its wide deployment in applications...

Vehicular fog computing (VFC) has emerged as a promising solution to relieve the overload on base station and reduce processing delay during peak time. The computation tasks can be offloaded from vehicular nodes by leveraging under-utilized resources of nearby vehicles. However, wide-area deployment VFC still confronts several critical challenges, such lack efficient incentive task assignment mechanisms. In this paper, we address above challenges provide minimize network contract-matching...

Computation intensive and delay-sensitive applications impose severe requirements on mobile devices of providing required computation capacity ensuring latency. Mobile edge computing (MEC) is a promising technology that can alleviate limitation users prolong their lifetime through offloading. However, offloading in an MEC environment faces issues due to dense deployment servers. Moreover, user has multiple mutually dependent tasks, which make policy design even more challenging. To address...

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....