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Hotspot clustering for ad hoc network

  • Xu Jing*
  • , Jing Zhang
  • *Corresponding author for this work
  • Harbin University of Science and Technology

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The adaptive clustering algorithm proposed by Gerla is purely based on geographical location freedom degree and plus time freedom degree, so it's two dimensional. In this paper, three dimensional clustering based on data flow is proposed. Three freedom degrees, data flow, the diameter of clusters, and time, are considered in the course of cluster establishment to solve hotspot phenomena. Hotspots are highly congested regions in Ad Hoc networks that can result in packet loss, end to end delay and out of order packets delivery. Through constructing clusters around hotspots, data flow coming to hotspots can be distributed to other nodes in the cluster with alternative route to the destination. Then it can mitigate congestion of hotspots and improve performance of wireless Ad Hoc network. Results from simulations on the OMNET++ platform show that various QoS indicators of the network get improved by use of hotspot clustering algorithm. And resource distribution of the whole network emerge as equalibrium effects.

Original languageEnglish
Title of host publicationProceedings - 2005 International Conference on Wireless Communications, Networking and Mobile Computing, WCNM 2005
Pages705-709
Number of pages5
DOIs
StatePublished - 2005
Externally publishedYes
Event2005 International Conference on Wireless Communications, Networking and Mobile Computing, WCNM 2005 - Wuhan, China
Duration: 23 Sep 200526 Sep 2005

Publication series

NameProceedings - 2005 International Conference on Wireless Communications, Networking and Mobile Computing, WCNM 2005
Volume2

Conference

Conference2005 International Conference on Wireless Communications, Networking and Mobile Computing, WCNM 2005
Country/TerritoryChina
CityWuhan
Period23/09/0526/09/05

Keywords

  • AODV
  • Ad Hoc networks
  • Clustering
  • Hotpot
  • Multi-agent

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