Optimal Cooperative MAC Strategies for Wireless VANETs With Multiple Roadside Units

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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Publication Details

Journal
IEEE Transactions on Vehicular Technology
Published
2024-09-09
DOI
https://doi.org/10.1109/tvt.2024.3456082
Citations
16
Primary Topic
Vehicular Ad Hoc Networks (VANETs)
Type
article
Field-Weighted Citation Impact
3.34

Funders

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article

Optimal Cooperative MAC Strategies for Wireless VANETs With Multiple Roadside Units

Sithamparanathan Kandeepan, Saman Atapattu, Zhou Zhang, Sumei Sun et al.
16 citations
IEEE Transactions on Vehicular Technology
Vehicular Ad Hoc Networks (VANETs)
3.34
article

Optimal Cooperative MAC Strategies for Wireless VANETs With Multiple Roadside Units

Sithamparanathan Kandeepan, Saman Atapattu, Zhou Zhang, Sumei Sun, Yizhu Wang
article en
16 citations

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.

IEEE Transactions on Vehicular TechnologyVol. 74(1)
Agency for Science, Technology and Research (SG), Institute for Infocomm Research (SG), RMIT University (AU)
National Natural Science Foundation of China
Openalex Percentile: Top 7%
Vehicular Ad Hoc Networks (VANETs)
3.34
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