Improving the performance of OLSRouting using PHY-IP information for realistic V2V/MANETs

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Maret, Yann, Raza, Mohsin, Legendre, Franck, Bessis, Nik and Wagen, Jean Frederic (2023) Improving the performance of OLSRouting using PHY-IP information for realistic V2V/MANETs. In: 2023 19th International Conference on Wireless and Mobile Computing, Networking and Communications, WiMob 2023. International Conference on Wireless and Mobile Computing, Networking and Communications . The Institute of Electrical and Electronics Engineers (IEEE), CAN, pp. 330-337. ISBN 9798350336672

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Abstract

Optimized routing algorithms are of most importance for Mobile Ad-hoc NETworks. The routing protocol offers a route to the destination and adapts the path when the network changes. The popular routing algorithm, Optimized Link State Routing (OLSRv2) is evaluated in realistic real time emulations using the open source EMANE platform and the open Anglova scenario. The effect of fading is analyzed to account for the mobile wireless environment. OLSR estimates the quality of each link by processing received HELLO packets. OLSR has limited performance in scenario with fading and can lead to a poor completion ratio: 67% for the 24-node Anglova company 1 scenario. The proposed solution called OLSR+PHY uses the physical layer estimate of the Signal to Interference and Noise Ratio (SINR) to drop the HELLO packets received with poor SINR. OLSR+PHY mitigates routes flapping and data packet loss. The completion ratio of acked-messages is improved to 79% while the Round Trip Time is only increased from 0.6 to 1s.

Item Type:	Book Section
Additional Information:	Publisher Copyright: © 2023 IEEE.
Uncontrolled Keywords:	completion ratio,emane,fading,manet,olsr,real time emulation,round trip time,routing,v2v,computer networks and communications,hardware and architecture,software ,/dk/atira/pure/subjectarea/asjc/1700/1705
Faculty \ School:	Faculty of Science > School of Computing Sciences
UEA Research Groups:	Faculty of Science > Research Groups > Cyber Intelligence and Networks
Related URLs:	http://www.scopus.com/inward/record.url?... https://research.edgehill.ac.uk/en/publi...
Depositing User:	LivePure Connector
Date Deposited:	18 Jun 2025 13:30
Last Modified:	19 Jun 2025 13:32
URI:	https://ueaeprints.uea.ac.uk/id/eprint/99631
DOI:	10.1109/WiMob58348.2023.10187848

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