Optimal Cooperative MAC Strategies for Wireless VANETs With Multiple Roadside Units

IF 7.1 2区 计算机科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC IEEE Transactions on Vehicular Technology Pub Date : 2024-09-09 DOI:10.1109/TVT.2024.3456082
Zhou Zhang;Saman Atapattu;Yizhu Wang;Sumei Sun;Kandeepan Sithamparanathan
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Abstract

This paper presents an optimization approach for cooperative Medium Access Control (MAC) techniques in Vehicular Ad Hoc Networks (VANETs) equipped with multiple Roadside Units (RSUs) to enhance network throughput. We propose a distributed cooperative MAC scheme based on the Carrier Sense Multiple Access with Collision Avoidance (CSMA/CA) protocol. It integrates selective multi-RSUs probing and adaptive transmission, using a dual timescale channel access framework accounting for vehicle positions and channel fading. This framework divides the channel access into two phases: a large-scale phase that accounts for gradual changes in vehicle locations and a small-scale phase that adapts to rapid channel fluctuations. In each large-scale phase, we examine the MAC problem with a snapshot of vehicle locations, treating the multi-RSU VANET as a sequential planned decision process. We formulate the Multi-RSUs Probing and Cooperative Access (MRPCA) strategy, organized as a multi-stage approach with a multi-level threshold structure. We rigorously prove its optimality for maximizing average system throughput per large-scale phase using optimal sequential planned decision theory. We develop a distributed MAC algorithm with periodic location updates, adjusting thresholds based on inter-vehicle and vehicle-RSU distances in large-scale phases. In small-scale phases, multiple vehicles access channels following the MRPCA strategy with updated thresholds. Simulation results confirm the effectiveness and efficiency of our algorithm, offering insights into cooperative MAC in VANETs with multiple RSUs and practical implementation.
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具有多个路边装置的无线 VANET 的最佳合作 MAC 策略
为提高网络吞吐量,提出了一种针对具有多个路边单元(rsu)的车载自组织网络(VANETs)中协同介质访问控制(MAC)技术的优化方法。提出了一种基于载波感知多址免碰撞(CSMA/CA)协议的分布式协同MAC方案。它集成了选择性多rsu探测和自适应传输,使用考虑车辆位置和信道衰落的双时间尺度信道访问框架。该框架将通道访问分为两个阶段:考虑车辆位置逐渐变化的大规模阶段和适应快速通道波动的小规模阶段。在每个大规模阶段,我们用车辆位置的快照来检查MAC问题,将多rsu VANET视为一个顺序的计划决策过程。我们制定了多rsu探测和合作访问(MRPCA)策略,该策略组织为具有多层次阈值结构的多阶段方法。利用最优序贯计划决策理论,严格证明了其最优性,即系统每大阶段平均吞吐量最大化。我们开发了一种具有周期性位置更新的分布式MAC算法,在大规模阶段根据车辆间和车辆- rsu距离调整阈值。在小规模阶段,多个车辆按照更新阈值的MRPCA策略访问通道。仿真结果验证了该算法的有效性和效率,为vanet中多rsu的协同MAC和实际实现提供了见解。
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来源期刊
CiteScore
6.00
自引率
8.80%
发文量
1245
审稿时长
6.3 months
期刊介绍: The scope of the Transactions is threefold (which was approved by the IEEE Periodicals Committee in 1967) and is published on the journal website as follows: Communications: The use of mobile radio on land, sea, and air, including cellular radio, two-way radio, and one-way radio, with applications to dispatch and control vehicles, mobile radiotelephone, radio paging, and status monitoring and reporting. Related areas include spectrum usage, component radio equipment such as cavities and antennas, compute control for radio systems, digital modulation and transmission techniques, mobile radio circuit design, radio propagation for vehicular communications, effects of ignition noise and radio frequency interference, and consideration of the vehicle as part of the radio operating environment. Transportation Systems: The use of electronic technology for the control of ground transportation systems including, but not limited to, traffic aid systems; traffic control systems; automatic vehicle identification, location, and monitoring systems; automated transport systems, with single and multiple vehicle control; and moving walkways or people-movers. Vehicular Electronics: The use of electronic or electrical components and systems for control, propulsion, or auxiliary functions, including but not limited to, electronic controls for engineer, drive train, convenience, safety, and other vehicle systems; sensors, actuators, and microprocessors for onboard use; electronic fuel control systems; vehicle electrical components and systems collision avoidance systems; electromagnetic compatibility in the vehicle environment; and electric vehicles and controls.
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