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Street-centric routing scheme using ant colony optimization-based clustering for bus-based vehicular ad-hoc network
Computers & Electrical Engineering ( IF 4.0 ) Pub Date : 2020-09-01 , DOI: 10.1016/j.compeleceng.2020.106736
Zahid Khan , Sangsha Fang , Anis Koubaa , Pingzhi Fan , Fakhar Abbas , Haleem Farman

Abstract Bus-based Vehicular Ad-hoc Network (VANET) is an excellent solution to cope with the highly dynamic and inconsistent structure of conventional vehicular network. In this paper, an algorithm for Internet of Energy in the context of Bus-based VANET is proposed, i.e., street-centric routing scheme (SCRS) to address the problem of optimal-route and relay-bus selection. Firstly, we propose a multipath routing scheme using probability of street consistency and probability of path consistency. The multipath improves performance concerning packet delivery ratio and end-to-end delay. Secondly, to enhance the packet forwarding, a new relay-bus selection mechanism is introduced by ant colony optimization (ACO)-based clustering. The relay-bus aims to transmit packets to next forwarding relay. Results show that clustering in ACO algorithm improves the relay-bus selection process by decreasing the computational cost, end-to-end delay, and unnecessary beacon messages. Thus, we conclude that the employment of multipath and clustering significantly improves performance of SCRS.

中文翻译:

基于蚁群优化聚类的以街道为中心的路由方案用于基于总线的车载自组织网络

摘要 基于总线的车载自组网(VANET)是应对传统车载网络高度动态和不一致结构的一种很好的解决方案。在本文中,提出了一种基于总线的 VANET 环境下的能源互联网算法,即以街道为中心的路由方案 (SCRS),以解决最优路由和中继总线选择问题。首先,我们提出了一种使用街道一致性概率和路径一致性概率的多路径路由方案。多路径提高了有关数据包交付率和端到端延迟的性能。其次,为了增强数据包转发,基于蚁群优化(ACO)的聚类引入了一种新的中继总线选择机制。中继总线旨在将数据包传输到下一个转发中继。结果表明,ACO 算法中的聚类通过降低计算成本、端到端延迟和不必要的信标消息来改进中继总线选择过程。因此,我们得出结论,多路径和集群的使用显着提高了 SCRS 的性能。
更新日期:2020-09-01
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