A Bus-Oriented Mobile FCNs Infrastructure and Intra-Cluster BSM Transmission Mechanism

Abstract

With the concept of edge computing being put forward, the edge node should play an important role in resource allocation and local computation. However, there are two basic problems to confront in this arena: the performance of basic safety message (BSM) exchange and the frequency of service migration, both of which are related to the vehicle's mobility feature. To decrease the frequency of service migration and enhance the efficiency of the BSM exchange, in this paper, a bus-oriented mobile fog computing nodes infrastructure is proposed, while a mobile similarity-based clustering method is given. In the proposed method, the bus node, which is considered as a fog-computing node (FCN), is used as a sink node, which fulfills communication resource allocation and convergence computing tasks. MATLAB is used to simulate the path loss feature, while a network simulator (NS-3) is employed to investigate the performance of the proposed scheme. The simulation results show that the proposed scheme significantly decreases the frequency of service migration and perform high communication efficiency for intra-cluster BSMs exchange. INDEX TERMS Mobile FCNs, bus oriented clustering method, mobile similarity, BSM transmission.

An MSCN-Based Virtual Computing Cell-Oriented BSM Dissemination Mechanism

“…As one of the basic service tools, city bus could be considered as a special kind of vehicle nodes, which could provide credible service to social vehicles. Hence, in our previous work [2], we analysis the coverage feature of bus net and proposed a fog computing architecture. e experimental results show that the structure can effectively improve the communication efficiency.…”

“…On the other hand, LTE-V employs resource pool mechanism, which supports both centric and distribute allocation mode, to alleviate channel congestion. However, due to vehicle's mobility feature, RSU could not competent to the task of resource allocation [2]. In this paper, we use specific mobile nodes as the resource allocator.…”

“…Both academic and industry researchers agree that vehicle's real-time data are an important and valuable source for automatic driving applications. erefore, edge computing nodes, such as multiaccess edge computing nodes (MECNs) [1] and fog computing nodes (FCNs) are introduced to establish an open cloud environment in a close proximity to the radio access network (RAN) accessible by third parties in an effort to overcome the shortcomings of centralized cloud computing in terms of latency and throughput [2]. In this case, vehicle to everything (V2X) network not only serves as a bit pipe that is used to exchange messages but also executes data processing task.…”

“…According to distribution feature of city bus, Chongqing, China, we deduce that bus net could be considered as a full coverage network. Our previous work shows that busoriented method is useful to increase data dissemination rate successfully [2,6]. Hence, buses, equipped with powerful communication and storage capability, are considered as substitute of RSU and serve as mobile sink nodes.…”

An MEC Architecture-Oriented Improved RRT Algorithm for Regional Trajectory Planning

“…e rapid development of V2X technology makes it possible to share real-time information among all traffic participants, such as vehicles, pedestrians, and public transportation facilities. V2X communication, which helps road drivers avoid potential threats by exchanging safe warning information, such as environment feature, bad driving state, etc., is considered as an important approach to improve road safety and driving safety [1]. Until now, most of autonomous driving systems are constructed based on active safe technology, which employ on-board sensors and cameras to collect corresponding information, such as road state, surrounding vehicle's state, and pedestrian, to make real-time decision-making control [2].…”