Adaptive V2V Routing with RSUs and Gateway Support to Enhance Network Performance in VANET

被引:0
|
作者
Marchang, Jims [1 ]
Sanders, Benjamin [2 ]
Joy, Dany [3 ]
机构
[1] Sheffield Hallam Univ, Dept Comp, Sheffield, S Yorkshire, England
[2] Univ Winchester, Dept Comp, Winchester, Hants, England
[3] Univ Plymouth, Dept Comp, Plymouth, Devon, England
关键词
VANET; RSU; Gateway; Ad Hoc Networks; Local link repair;
D O I
10.1007/978-3-030-02931-9_24
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In a VANET communication, link stability can neither be guaranteed nor make the established route link permanent due to the dynamic nature of the network. In V2V communication without the involvement of any infrastructural units like RSU access points or gateway, the probability of successful link establishment decreases when vehicle's speed varies, red traffic light increases, cross-road increases and finally when the density of the running vehicles is sparse. To ensure route establishment and control route request broadcast in a sparse VANET with cross-road layout, RSUs are used in this paper for route discovery within one gateway zone when a next hop vehicle to relay the route request packet is unavailable. RSUs are static but the vehicles are dynamic in nature, so relying completely on RSU for forwarding data is not recommended because chances of link failure, link re-establishment, and handoff overhead will be high. So, in this paper, RSUs and Gateways are evoked for route discovery and data forwarding only when necessary. Moreover, a local route repair is attempted in this paper when the path length is high to reduce or avoid loss of buffered packets along the route and to maintain a more stable link with the help of RSUs.
引用
收藏
页码:298 / 310
页数:13
相关论文
共 50 条
  • [1] V2V Routing in VANET Based on Fuzzy Logic and Reinforcement Learning
    Zhang, W. L.
    Yang, X. Y.
    Song, Q. X.
    Zhao, L.
    [J]. INTERNATIONAL JOURNAL OF COMPUTERS COMMUNICATIONS & CONTROL, 2021, 16 (01) : 1 - 19
  • [2] V2V Routing in VANET Based on Heuristic Q-Learning
    Yang, X. Y.
    Zhang, W. L.
    Lu, H. M.
    Zhao, L.
    [J]. INTERNATIONAL JOURNAL OF COMPUTERS COMMUNICATIONS & CONTROL, 2020, 15 (05) : 1 - 17
  • [3] V2VR: Reliable Hybrid-Network-Oriented V2V Data Transmission and Routing Considering RSUs and Connectivity Probability
    Gao, Honghao
    Liu, Can
    Li, Youhuizi
    Yang, Xiaoxian
    [J]. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2021, 22 (06) : 3533 - 3546
  • [4] V2V Routing in a VANET Based on the Autoregressive Integrated Moving Average Model
    Sun, Gang
    Song, Liangjun
    Yu, Hongfang
    Chang, Victor
    Du, Xiaojiang
    Guizani, Mohsen
    [J]. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2019, 68 (01) : 908 - 922
  • [5] Connected Vehicles, V2V Communications, and VANET
    Jimenez, Felipe
    [J]. ELECTRONICS, 2015, 4 (03): : 538 - 540
  • [6] A Cross-Layer AOMDV Routing Protocol for V2V Communication in Urban VANET
    Chen, Yufeng
    Xiang, Zhengtao
    Jian, Wei
    Jiang, Weirong
    [J]. 2009 FIFTH INTERNATIONAL CONFERENCE ON MOBILE AD-HOC AND SENSOR NETWORKS, 2009, : 353 - 359
  • [7] A Q-learning based adaptive congestion control for V2V communication in VANET
    Liu, Xiaofeng
    Amour, Ben St.
    Jaekel, Arunita
    [J]. 2022 INTERNATIONAL WIRELESS COMMUNICATIONS AND MOBILE COMPUTING, IWCMC, 2022, : 847 - 852
  • [8] Study on V2V clustering algorithm in heterogeneous network based on VANET and LTE-V2X
    Shuang, Liu
    Wu, Shao-Bo
    Qiu, Jia-Hui
    Qi, Liu
    [J]. Journal of Computers (Taiwan), 2020, 31 (01): : 282 - 293
  • [9] Establishing Parameters for Comparative Analysis of V2V Communication in VANET
    Tomar, Ravi
    Sastry, Hanumat G.
    Prateek, Manish
    [J]. JOURNAL OF SCIENTIFIC & INDUSTRIAL RESEARCH, 2020, 79 (01): : 26 - 29
  • [10] A V2V charging allocation protocol for electric vehicles in VANET
    Abualola, Huda
    Otrok, Hadi
    Mizouni, Rabeb
    Singh, Shakti
    [J]. VEHICULAR COMMUNICATIONS, 2022, 33