Locally proactive routing protocols

Kahkashan Shaukat, Violet Syrotiuk

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

In a proactive routing protocol, each node periodically transmits control packets to distribute its local topology. Since the conditions of a mobile ad hoc network are rarely uniform, using the same period at each node may not result in the best performance. Therefore, we propose a protocol that is locally proactive, i.e., each node periodically transmits control packets using a time interval based on its local network conditions. Our objective is to simultaneously maximize the packet delivery ratio and minimize the control overhead. To accomplish it, we develop statistical models for each response for the OLSR routing protocol as a function of node speed and two timer intervals. In simulation we show that the locally proactive OLSR reduces the control overhead by 35-44% and obtains a packet delivery ratio that is statistically identical to that of the original OLSR protocol.

Original languageEnglish (US)
Title of host publicationAd-Hoc, Mobile and Wireless Networks - 9th International Conference, ADHOC-NOW 2010, Proceedings
Pages67-80
Number of pages14
DOIs
StatePublished - Dec 13 2010
Event9th International Conference on Ad-Hoc, Mobile and Wireless Networks, ADHOC-NOW 2010 - Edmonton, AB, Canada
Duration: Aug 20 2010Aug 22 2010

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6288 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other9th International Conference on Ad-Hoc, Mobile and Wireless Networks, ADHOC-NOW 2010
CountryCanada
CityEdmonton, AB
Period8/20/108/22/10

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ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Shaukat, K., & Syrotiuk, V. (2010). Locally proactive routing protocols. In Ad-Hoc, Mobile and Wireless Networks - 9th International Conference, ADHOC-NOW 2010, Proceedings (pp. 67-80). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6288 LNCS). https://doi.org/10.1007/978-3-642-14785-2_6