用于 VANET 的高效多目标无人机辅助 RSU 部署(MOURD)方案

IF 4.4 3区 计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS Ad Hoc Networks Pub Date : 2024-07-15 DOI:10.1016/j.adhoc.2024.103598
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引用次数: 0

摘要

路边装置(RSU)是车载 Ad Hoc 网络(VANET)的重要基础设施,通过为车辆用户、驾驶员和行人提供安全服务、共享存储和增强的互联网连接,支持实现智能交通系统(ITS)的目标。此外,VANET 在网络服务实用性和延迟方面的效率取决于这些 RSU 在网络拓扑结构中的相对位置。现有的 RSU 部署方法大多只有一个目标,即提高网络服务效用或尽量减少延迟。例如,一些研究建议在高流量路段部署 RSU,这样可以提高网络服务效用,但会导致更高的延迟。相反,一些研究建议将 RSU 部署在交通流量较小的路段,这样可以最大限度地减少网络延迟,但网络服务效用也会降低。因此,在 VANET 中,这两个相互冲突的目标之间存在着权衡,没有一项研究能同时解决这两个目标。为了实现这两个目标之间的平衡,本文提出了一种多目标无人机辅助 RSU 部署(MOURD)方案,利用无人机(UAV)提高 VANET 的效率。MOURD 方案静态地将 RSU 部署在交通流量大的路段,动态地将无人机调度到交通流量小的路段,以促进无缝网络覆盖并最大限度地减少整体网络延迟。对印度德里道路网络的仿真结果表明,与其他基准 RSU & 和无人机部署方法相比,拟议的 MOURD 方案非常有效。MOURD 方案在车辆连接时间、数据包交付率、吞吐量和延迟方面的平均表现分别优于其他方案 17.42%、13.29%、15.67% 和 6.23%。
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An efficient multi-objective UAV assisted RSU deployment (MOURD) scheme for VANET

A Roadside Unit (RSU) serves as essential infrastructure in Vehicular Ad Hoc Networks (VANETs) that supports the goals of Intelligent Transportation Systems (ITS) by providing safety services, shared storage, and enhanced internet connectivity to vehicular users, drivers, and pedestrians. Additionally, the efficiency of VANETs, concerning network service utility and latency, depends on the relative positioning of these RSUs within the network topology. Most existing RSU deployment approaches deal with a single objective, either enhancing network service utility or minimizing the latency. For instance, some studies suggest deploying RSUs in high-traffic road segments that enhance network service utility but lead to higher latency. Conversely, some suggest deploying the RSUs in low-traffic road segments that minimize the network latency, but there will be low network service utility. Hence, there exists a trade-off between these two conflicting objectives in VANETs, and none of the studies address both objectives simultaneously. To achieve the balance between these two objectives, this paper proposes a Multi-Objective UAV assisted RSU Deployment (MOURD) scheme that leverages the Unmanned Aerial Vehicles (UAVs) for VANET efficiency. The MOURD scheme statically places RSUs in high-traffic road segments and dynamically dispatches the UAVs in low-traffic road segments to facilitate seamless network coverage and minimize the overall network latency. The simulation results on the road network of Delhi, India, demonstrate the effectiveness of the proposed MOURD scheme compared to other benchmark RSU & UAV deployment approaches. MOURD scheme outperforms on an average of 17.42%, 13.29%, 15.67% and 6.23% in terms of vehicle connection time, packet delivery ratio, throughput, and latency, respectively.

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来源期刊
Ad Hoc Networks
Ad Hoc Networks 工程技术-电信学
CiteScore
10.20
自引率
4.20%
发文量
131
审稿时长
4.8 months
期刊介绍: The Ad Hoc Networks is an international and archival journal providing a publication vehicle for complete coverage of all topics of interest to those involved in ad hoc and sensor networking areas. The Ad Hoc Networks considers original, high quality and unpublished contributions addressing all aspects of ad hoc and sensor networks. Specific areas of interest include, but are not limited to: Mobile and Wireless Ad Hoc Networks Sensor Networks Wireless Local and Personal Area Networks Home Networks Ad Hoc Networks of Autonomous Intelligent Systems Novel Architectures for Ad Hoc and Sensor Networks Self-organizing Network Architectures and Protocols Transport Layer Protocols Routing protocols (unicast, multicast, geocast, etc.) Media Access Control Techniques Error Control Schemes Power-Aware, Low-Power and Energy-Efficient Designs Synchronization and Scheduling Issues Mobility Management Mobility-Tolerant Communication Protocols Location Tracking and Location-based Services Resource and Information Management Security and Fault-Tolerance Issues Hardware and Software Platforms, Systems, and Testbeds Experimental and Prototype Results Quality-of-Service Issues Cross-Layer Interactions Scalability Issues Performance Analysis and Simulation of Protocols.
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