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Title: Evaluating VANET routing in urban environments
Authors: Ali, Awos Kh.
Phillips, Iain
Yang, Huanjia
Keywords: VANETs
Routing
AODV
OLSR
GPS
Issue Date: 2016
Publisher: © IEEE
Citation: ALI, A.K., PHILLIPS, I. and YANG, H., 2016. Evaluating VANET routing in urban environments. Presented at the 39th International Conference on Telecommunications and Signal Processing (TSP), Vienna, 27-29 June, pp. 60-63.
Abstract: Vehicular Ad-hoc Networks (VANETs) are a class of Mobile Ad-hoc Networks (MANETs) incorporated into moving vehicles. Nodes communicate with both and infrastructure to provide Intelligent Transportation Systems (ITS) for the purpose of improving safety and comfort. Efficient and adaptive routing protocols are essential for achieving reliable and scalable network performance. However, routing in VANETs is challenging due to the high-speed movement of vehicles, which results in frequent network topology changes. This paper provides an in-depth evaluation of three well-known MANET routing protocols, AODV, OLSR and GPSR, in VANET with urban environment setup. We compare their performance using three metrics: drop burst length (DEL), delay and delivery ratio (PDR). The simulations are carried out using NS2 and SUMO simulators platforms, with scenarios configured to reflect real-world conditions. The results show that OLSR is able to achieve a shorter DEL and demonstrates higher PDR performance comparing to AODV and GPSR under low network load. However, with GPSR, the network shows more stable PDR under medium and high network load. In term of delay it is outperformed by GPSR, which delivers packets with the shortest delay.
Description: Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Version: Accepted for publication
DOI: 10.1109/TSP.2016.7760829
URI: https://dspace.lboro.ac.uk/2134/26046
Publisher Link: http://dx.doi.org/10.1109/TSP.2016.7760829
ISBN: 9781509012886
Appears in Collections:Conference Papers and Presentations (Computer Science)

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