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...

Vehicular networks are facing the challenges to support ubiquitous connections and high quality of service for numerous vehicles. To address these issues, mobile edge computing (MEC) is explored as a promising technology in vehicular by employing resources at wireless access networks. In this paper, we study efficient task offloading schemes The vehicles perform time selection, communication, resource allocations optimally, mobility maximum latency tasks considered. minimize system costs,...

In green cities, one of the most promising energy system designs is multi-energy system, which capable integrating different resources to supply stable for users. To schedule diverse efficiently, trading among entities a big issue in systems. This paper proposes auction mechanisms smart district, district manager sells electricity, natural gas, and heating users meanwhile trades with outer networks. Two are designed under day-ahead real-time markets, respectively. For each auction,...

This paper proposes a combinatorial auction approach for multi-resource allocation of an energy storage (ES) shared by multiple electricity end users in residential community. Through the auction, user buys group ES resources, including capacity, energy, charging power, and discharging from operator. With store grid during low-electricity-price hours, so that they can consume cheap stored high-electricity-price hours to reduce their bills. In submit resource demands corresponding bid prices,...

This paper proposes an online control approach for real-time energy management of distributed storage (ES) sharing. A new ES sharing scenario is considered, in which the capacities physical ESs (PESs) are reallocated to users, so that each user manages its own virtual (VES) without knowing detailed operations PESs. To optimize system real time, algorithm developed based on Lyapunov optimization framework. The advantage it makes decisions only realization current states, having predict future...

As the general mobile edge computing (MEC) scheme cannot adequately handle emergency communication requirements in vehicular networks, unmanned aerial vehicle (UAV)-assisted networks (VECNs) are envisioned as reliable and cost-efficient paradigm for mobility flexibility of UAVs. UAVs can perform temporary base stations to provide services road vehicles with heavy traffic. However, it takes a long time huge energy consumption UAV fly from stay charging station mission areas disorderly. In...

High-level autonomous decision making system is one of the key technologies in intelligent transportation networks, it requires traffic information within a certain range vehicles real time. When roads become congested or roadside units (RSUs) are unaccessed beyond communication range, unmanned aerial vehicle (UAV)-assisted vehicular edge computing network (VECN) considered as potential solution. In this paper, we propose learning based channel allocation and task offloading strategy...

The introduction of wirelessly charged electric buses (WCEBs) into current public transportation system attracts many attentions in recent years. As the wireless charging technology enables energy transfer from power transmitters to vehicles (EVs) on road, it provides a promising solution reduce huge cost battery with large size and long time, which are two critical impediments for EV applications. However, WCEBs is huge. Under dynamic electricity demands fluctuating prices, operating highly...

This paper proposes a topology-aware vehicle-to-grid (V2G) energy trading mechanism that uses charging/discharging powers of electric vehicles (EVs) to regulate voltage deviations an active distribution system. To incentivize EVs trade energy, auction theory is employed guarantee three economic properties: 1) truthfulness; 2) individual rationality; and 3) social cost minimization. The designed according the topology system, in which multiple microgrids (MGs) are networked through network...

In vehicular edge computing networks, service caching has emerged as a promising technology that supports delay sensitive applications. When the vehicles pass coverage areas of roadside units (RSUs), can offload part/all their tasks to RSUs had cached related data in advance. However, it is difficult utilize resources efficiently, for high mobility, variable task requests and limited storage computation capacity RSUs. this paper, we propose <underline...

Cloud computing has been flourishing in past years because of its ability to provide users with on-demand, flexible, reliable, and low-cost services. With more cloud applications being available, data security protection becomes an important issue the cloud. In order ensure storage, a novel triple encryption scheme is proposed this paper, which combines HDFS files using DEA key RSA, then encrypts user's RSA private IDEA. We implement Hadoop-based storage experiment studies were conducted...

Energy hub integrates various energy conversion and storage technologies, which can yield complementarity among multiple provide consumers with stable services, such as electricity, heating, cooling. This enables to be an ideal system design for smart green buildings. paper proposes a distributed auction mechanism multi-energy scheduling of that serves numbers building users. In the auction, users first submit their demand data manager. Then, manager allocates via optimization based on...

Vehicular edge computing is viewed as a promising technique for relieving the overload of base station (BS) on roadside, via leveraging computation resources vehicles road. However, capacity single vehicle limited. For fast velocity and distribution characteristics vehicles, when performs task offloading to set neighbor longer sensing/accessing time durations are needed. Vehicle platoon driving an emerging proposed strengthen fuel efficiency freeway safety capacity. The distributed can be...

A global planning algorithm for intelligent vehicles is designed based on the A* algorithm, which provides with a path towards their destinations. distributed real-time multiple vehicle collision avoidance (MVCA) proposed by extending reciprocal n-body method. MVCA enables to choose destinations and control inputs independently, without needing negotiate each other or coordinator. Compared centralized trajectory-planning reduces computation costs greatly improves robustness of system....

Due to the flexible deployment and availability of line-of-sight (LoS) link, unmanned aerial vehicle (UAV) is able assist roadside unit (RSU) provide timely computing resources covered users in temporary congestion roads. In UAV-assisted vehicular edge networks (VECNs), caching necessary data RSU/UAV reduces task execution delay bandwidth cost significantly. However, for constrained storage computation capacities UAV dynamic requests users, efficient selection replacement schemes are needed....