With the proliferation of Internet Things (IoT) and wide penetration wireless networks, surging demand for data communications computing calls emerging edge paradigm. By moving services functions located in cloud to proximity users, can provide powerful communication, storage, networking, communication capacity. The resource scheduling computing, which is key success systems, has attracted increasing research interests. In this paper, we survey state-of-the-art findings know progress field....

With the development of autonomous driving, surging demand for data communications as well computation offloading from connected and automated vehicles can be expected in foreseeable future. limited capacity both communication computing, how to efficiently schedule usage resources network toward best utilization represents a fundamental research issue. In this article, we address issue by jointly considering scheduling. Specifically, investigate on vehicular edge computing (VEC) which...

The development of autonomous driving poses significant demands on computing resource, which is challenging to resource-constrained vehicles. To alleviate the issue, Vehicular edge (VEC) has been developed offload real-time computation tasks from However, with multiple vehicles contending for communication and resources at same time different applications, how efficiently schedule toward maximal system welfare represents a fundamental issue in VEC. This article aims provide detailed analysis...

With the fast development of Internet Vehicles (IoV), various types computation-intensive vehicular applications pose significant challenges to resource-constrained vehicles. The emerging Vehicular Edge Computing (VEC) and Intelligence (EI) can alleviate this situation by offloading computation tasks vehicles roadside edge servers. However, with many contending for communication resources at same time, how quickly efficiently make an optimal decision individual represents a fundamental...

Unmanned aerial vehicles (UAVs) are widely used for surveillance and monitoring to complete target search tasks. However, the short battery life moderate computational capability hinder UAVs process computation-intensive The emerging edge computing technologies can alleviate this problem by offloading tasks ground servers. How evaluate so as make optimal decisions flying trajectories represent fundamental research challenges. In paper, we propose utilize concept of uncertainty process, which...

Multiple unmanned aerial vehicles (UAVs) cooperative search have been widely adopted for surveillance and search-related applications. For a certain area, UAVs may need to it repeatedly obtain high-confidence result about the target distribution in area. However, short battery life moderate computational capability restrict execute computation-intensive energy-consuming tasks. To address issue, this paper, we utilize edge computing develop continual UAV mechanism. Specifically, first...

The crown jewel of intelligent transportation is achieving autonomous driving that can ultimately become accident- and congestion-free through CAVs the associated traffic management systems. Recently, this vision has sparked huge research interest, such as IoV, LTE-V2X, 5G. However, amount data generated by poses challenges for current networks even upcoming 5G communication networks.In article, we first analyze requirements present progress vehicular networks, on basis propose novel concept...

Vehicular edge computing (VEC), which integrates mobile-edge (MEC) into vehicular networks, can provide more capability for executing resource-hungry applications and lower latency connected vehicles. Distributing the result content to vehicles is vital them take proper actions based on results. However, increasing number of limited communication resources make distribution a challenge. Besides, diversity contents makes it challenging distribution. To address this issue, in article, we...

Effective file transfer between vehicles is fundamental to many emerging vehicular infotainment applications in the highway Vehicular Ad Hoc Networks (VANETs), such as content distribution and social networking. However, due fast mobility, connection tends be short-lived lossy, which makes intact extremely challenging. To tackle this problem, we presents a novel Cluster-based File Transfer (CFT) scheme for VANETs paper. With CFT, when vehicle requests file, transmission capacity resource...

With the surge service requirements from vehicular users, especially for automated driving, providing real-time high-rate wireless connections to fast-moving vehicles is ever demanding. This motivates development of emerging LTE-V network, a 5G cellular-based technology. However, note that user group typically very large scale, whereas bandwidth spectrum available communications limited. To efficiently allocate and utilize slim resource vehicle users are therefore important. paper develops...

With the recent advancement in intelligent transportation systems (ITS), vehicular network has become major force content dissemination, and it is essential to improve efficiency delivery quality service (QoS). The rapid growth data traffic limited resources have created a bottleneck dissemination. In addition, demand of high rate, low latency user's satisfaction on make dissemination more challenging. To address above problem which involves vehicle (V2V) peer discovery resource allocation,...

Effective file transfer is fundamental to many applications in highway Vehicular Ad Hoc Networks (VANETs), e.g., social network applications, advertisement distributions, road traffic report, etc. However, due the sparse development of roadside units (or access points) and limited connection time between fast-moving vehicles, susceptible frequent interruptions, accordingly resulting incomplete transfers. The leads not only poor user performance with application playback failures, but also a...

Due to the highly dynamic network feature, Vehicular Ad Hoc Networks (VANETs) suffer from frequent link breakage and low packet delivery rate, which pose challenges design routing protocols. To address this issue, we propose a Fuzzy Logic Routing Based on Forwarding (FLRBF) optimization scheme depending receiving nodes for optimizing forwarding broadcast packets. We first calculate record distance factor time delay one source node destination node. Via above information, define probability...

The advancements in vehicular networks and applications brings about a huge demand for vehicles to process computation-intensive tasks such as machine learning (ML) algorithms. There is need an efficient solution meet up these challenges. Federated (FL), which distributed does not require the transmission of dataset server, more suitable resource constraint edge network. However, all will participate FL training without any reward. This paper proposes incentive-based federated scheme...

With the proliferation of Internet Things (IoT) and wide penetration wireless networks, surging demand for data communications computing calls emerging edge paradigm. By moving services functions located in cloud to proximity users, can provide powerful communication, storage, networking, communication capacity. The resource scheduling computing, which is key success systems, has attracted increasing research interests. In this paper, we survey state-of-the-art findings know progress field....

The increasing per capita vehicle ownership has led to extremely serious traffic congestion, energy crisis and environment pollution. Electric vehicle, as a representative of structure transition component changes can effectively solve the mentioned issues. In this paper, we propose novel consumption model for electric vehicles, Green wave band based Energy Consumption Model (GECM), which is built upon signal control theory combines with distribution in macroscopic view. This designs green...

With the proliferation of Internet Things (IoT) and concomitant computation-intensive tasks, surging demand for computation offloading can be expected. How to optimally make decisions towards best quality experience (QoE) represents a fundamental research problem. In this paper, considering different QoE requirements inherent characteristic we investigate problem in edge computing enabled IoT networks. Particularly, first establish task local model by fully parallel serial processing...

Effective file transfer between vehicles is fundamental to many emerging vehicular infotainment applications in the highway Vehicular Ad Hoc Networks (VANETs), such as content distribution and social networking. However, due fast mobility, connection tends be short-lived lossy, which makes intact extremely challenging. To tackle this problem, we presents a novel Cluster-based File Transfer (CFT) scheme for VANETs paper. With CFT, when vehicle requests file, transmission capacity resource...

Smart roads can achieve a comprehensive, real-time and accurate perception of road environment, which is great significance for intelligent transportation systems (ITS). However, due to massive data needed be computed, cloud computing usually imposes pressure on backhaul produces high delay. In this context, mobile edge (MEC) provides promising solution. Meanwhile, current researches the task offloading based MEC lack global considerations ignore IoT devices along roadside, so optimization...