Adaptive Clustering Based on Auto – Learning Algorithm

Abstract

This paper introduces an adaptive clustering model for wireless ad hoc networks based on Auto – Learning Algorithm (ALA). ALA allows a dynamic decomposition of the network into a virtual clusters view based on communication patterns of the mobile nodes. We consider a cluster as an Interest Group (IG) whose member nodes have common interactions. ALA is based on two types of events, New Route Events (NRE) and Route Failure Events (RFE). In this work, ALA is integrated into the well known routing protocol AODV. The adaptive version of AODV is referred to as A ²ODV (Adaptive AODV). Simulation results show that A ²ODV outperforms AODV with respect to packet delivery ratio, overhead, throughput, and route stability.

Contributors

Anis Ben Arbia

Habib youssef

Conference

Publication date: July 2008

Publication date (Print): July 2008

Pages: 1-12

Affiliations

Prince Research Unit

ISITC Hammam Sousse

University of Sousse, Tunisia

Article

DOI: 10.14236/ewic/VECOS2008.9

Copyright statement: © Anis Ben Arbia et al. Published by BCS Learning and Development Ltd. Second International Workshop on Verification and Evaluation of Computer and Communication Systems (VECoS 2008)

License:

This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

Conference name: Second International Workshop on Verification and Evaluation of Computer and Communication Systems (VECoS 2008)

Conference acronym: VECoS

Conference number:

Conference location: Leeds, UK

Conference date: 2 - 3 July 2008

Conference sponsor: Electronic Workshops in Computing (eWiC)

Conference theme: Verification and Evaluation of Computer and Communication Systems

Product

Product Information: 1477-9358BCS Learning & Development

Self URI (article page): https://www.scienceopen.com/hosted-document?doi=10.14236/ewic/VECOS2008.9

Self URI (journal page): https://ewic.bcs.org/

Categories

Series title: Electronic Workshops in Computing