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Performance evaluation of rate adaptation algorithms for seamless heterogeneous vehicular communications

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Abstract

VANET is an emerging area of wireless ad-hoc networks to contribute in the success of connected vehicles projects. The extremely changeable number of mobile nodes and high mobility are challenging issues. Furthermore, this particular network has several problems in term of defining suitable schemes and protocols like rate adaptation mechanisms. The overall performance of diverse applications in VANET such as traffic control and multimedia delivery is based on the achievement ratio these networks can offer and the network throughput. Rate adaptation is an essential technique to evade the performance network degradation and to maximize the throughput by using the estimation of the present channel characteristics and determining the optimal bitrate for subsequent transmissions. Despite there are several available rate control algorithms for 802.11 WLANs standards, there are few works devoted to the rate adaptation for the standard of vehicular networks. In this paper, we compare and evaluate the existing data rate adaptation schemes in numerous vehicular environments to recognize their behavior and analyze their performance in diverse scenarios. Six algorithms were chosen for comparison using the NS-3 simulator: AARF, AARF-CD, AMRR, CARA, Onoe, and Minstrel. The simulation outcomes demonstrate that Minstrel algorithm outperforms the remaining five mechanisms in dense and dynamic situations.

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Acknowledgments

This work is supported by FDCT/0007/2018/A1; DCT-MoST Joint-project No. (025/2015 / AMJ); University of Macau funds Nos: CPG2018-00032-FST & SRG2018-00111-FST of SAR Macau, China; Chinese National Research Fund (NSFC) Key Project No. 61532013; National China 973 Project No. 2015CB352401; Shanghai Scientific Innovation Act of STCSM No. 15JC1402400 and 985 Project of Shanghai Jiao Tong University: WF220103001.

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  1. Department of Computer Science and Technology, Shanghai Jiao Tong University, Shanghai, China

    Abdennour Zekri & Weijia Jia

  2. Centre of Data Science, University of Macau, Zhuhai, SAR Macau, China

    Weijia Jia

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  1. Abdennour Zekri
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  2. Weijia Jia
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Correspondence to Abdennour Zekri.

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Zekri, A., Jia, W. Performance evaluation of rate adaptation algorithms for seamless heterogeneous vehicular communications. Peer-to-Peer Netw. Appl. 14, 1–17 (2021). https://doi.org/10.1007/s12083-020-00957-8

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