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Situation-Aware QoS Routing Algorithm for Vehicular Ad hoc Networks

机译:车载Ad hoc网络中的情境感知QoS路由算法

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摘要

A wide range of services has been developed for Vehicular Ad hoc Networks (VANETs) ranging from safety to infotainment applications. An essential requirement for such services is that they are offered with Quality of Service (QoS) guarantees in terms of service reliability and availability. Searching for feasible routes subject to multiple QoS constraints is in general an NP-hard problem. Besides, routing reliability needs to be paid special attention as communication links frequently break in VANETs. In this paper, we propose employing the Situational Awareness (SA) concept and an Ant Colony System (ACS) based algorithm to develop a Situation-Aware Multi-constrained QoS (SAMQ) routing algorithm for VANETs. SAMQ aims to compute feasible routes between the communicating vehicles subject to multiple QoS constraints and pick the best computed route, if such a route exists. To mitigate the risks inherited from selecting the best computed route that may turn out to fail at any moment, SAMQ utilises the SA levels and ACS mechanisms to prepare certain countermeasures with the aim of assuring a reliable data transmission. Simulation results demonstrate that SAMQ is capable of achieving a reliable data transmission as compared to the existing QoS routing algorithms even when the network topology is highly dynamic.
机译:已为车载自组织网络(VANET)开发了广泛的服务,范围从安全到信息娱乐应用。对此类服务的基本要求是,在服务可靠性和可用性方面,必须为它们提供服务质量(QoS)保证。寻找受多个QoS约束的可行路由通常是一个NP难题。此外,由于VANET中的通信链路频繁中断,因此路由可靠性尤其要引起重视。在本文中,我们提出采用情境感知(SA)概念和基于蚁群系统(ACS)的算法来开发VANET的情境感知多约束QoS(SAMQ)路由算法。 SAMQ的目的是计算受多个QoS约束的通信车辆之间的可行路线,并选择最佳的计算路线(如果存在)。为了减轻因选择最佳计算路线而随时可能导致失败的风险,SAMQ利用SA级别和ACS机制来准备某些对策,以确保可靠的数据传输。仿真结果表明,与现有的QoS路由算法相比,即使网络拓扑高度动态,SAMQ仍能够实现可靠的数据传输。

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