Dynamic Cooperative MAC Optimization in RSU-Enhanced VANETs: A Distributed Approach

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Main Authors: Zhang, Zhou, Atapattu, Saman, Wang, Yizhu, Sun, Sumei, Sithamparanathan, Kandeepan
Format: Preprint
Published: 2024
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_version_ 1866913234979651584
author Zhang, Zhou
Atapattu, Saman
Wang, Yizhu
Sun, Sumei
Sithamparanathan, Kandeepan
author_facet Zhang, Zhou
Atapattu, Saman
Wang, Yizhu
Sun, Sumei
Sithamparanathan, Kandeepan
contents This paper presents an optimization approach for cooperative Medium Access Control (MAC) techniques in Vehicular Ad Hoc Networks (VANETs) equipped with Roadside Unit (RSU) to enhance network throughput. Our method employs a distributed cooperative MAC scheme based on Carrier Sense Multiple Access with Collision Avoidance (CSMA/CA) protocol, featuring selective RSU probing and adaptive transmission. It utilizes a dual timescale channel access framework, with a ``large-scale'' phase accounting for gradual changes in vehicle locations and a ``small-scale'' phase adapting to rapid channel fluctuations. We propose the RSU Probing and Cooperative Access (RPCA) strategy, a two-stage approach based on dynamic inter-vehicle distances from the RSU. Using optimal sequential planned decision theory, we rigorously prove its optimality in maximizing average system throughput per large-scale phase. For practical implementation in VANETs, we develop a distributed MAC algorithm with periodic location updates. It adjusts thresholds based on inter-vehicle and vehicle-RSU distances during the large-scale phase and accesses channels following the RPCA strategy with updated thresholds during the small-scale phase. Simulation results confirm the effectiveness and efficiency of our algorithm.
format Preprint
id arxiv_https___arxiv_org_abs_2402_09619
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Dynamic Cooperative MAC Optimization in RSU-Enhanced VANETs: A Distributed Approach
Zhang, Zhou
Atapattu, Saman
Wang, Yizhu
Sun, Sumei
Sithamparanathan, Kandeepan
Signal Processing
Networking and Internet Architecture
Statistics Theory
This paper presents an optimization approach for cooperative Medium Access Control (MAC) techniques in Vehicular Ad Hoc Networks (VANETs) equipped with Roadside Unit (RSU) to enhance network throughput. Our method employs a distributed cooperative MAC scheme based on Carrier Sense Multiple Access with Collision Avoidance (CSMA/CA) protocol, featuring selective RSU probing and adaptive transmission. It utilizes a dual timescale channel access framework, with a ``large-scale'' phase accounting for gradual changes in vehicle locations and a ``small-scale'' phase adapting to rapid channel fluctuations. We propose the RSU Probing and Cooperative Access (RPCA) strategy, a two-stage approach based on dynamic inter-vehicle distances from the RSU. Using optimal sequential planned decision theory, we rigorously prove its optimality in maximizing average system throughput per large-scale phase. For practical implementation in VANETs, we develop a distributed MAC algorithm with periodic location updates. It adjusts thresholds based on inter-vehicle and vehicle-RSU distances during the large-scale phase and accesses channels following the RPCA strategy with updated thresholds during the small-scale phase. Simulation results confirm the effectiveness and efficiency of our algorithm.
title Dynamic Cooperative MAC Optimization in RSU-Enhanced VANETs: A Distributed Approach
topic Signal Processing
Networking and Internet Architecture
Statistics Theory
url https://arxiv.org/abs/2402.09619