Bottleneck around base station in wireless sensor network and its solution

Kumar Padmanabh, Rajarshi Roy

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

4 Scopus citations

Abstract

The sensor nodes in a network are connected to the outer world via a base station. Base stations (BS) have some back up power and it is not suppose to fail due to shortage of battery power. The nodes which are away from the base station communicate to it via the nodes which are in proximity of BS. So, the nodes which are nearer to BS have additional communication responsibilities of forwarding data of distant nodes. Thus the nodes which are in proximity of BS will run out of battery power very soon and create bottleneck for communication. In this paper we have proposed that if the density of sensor nodes increases as we move towards base station this effect can be minimized. We found the required exact density of the sensor nodes at a particular distance from BS to avoid bottleneck phenomenon around it. We have considered the real life scenario where the nodes generate data only when there is an event of interest with a given probability of occurrence. The main contribution of this paper with our proposed strategy is lifetime offered per unit cost of deployment is almost double.

Original languageBritish English
Title of host publication2006 3rd Annual International Conference on Mobile and Ubiquitous Systems
Subtitle of host publicationNetworking and Services, MobiQuitous
DOIs
StatePublished - 2006
Event2006 3rd Annual International Conference on Mobile and Ubiquitous Systems: Networking and Services, MobiQuitous - San Jose, CA, United States
Duration: 17 Jul 200621 Jul 2006

Publication series

Name2006 3rd Annual International Conference on Mobile and Ubiquitous Systems: Networking and Services, MobiQuitous

Conference

Conference2006 3rd Annual International Conference on Mobile and Ubiquitous Systems: Networking and Services, MobiQuitous
Country/TerritoryUnited States
CitySan Jose, CA
Period17/07/0621/07/06

Keywords

  • Maximum lifetime routing
  • Network lifetime
  • Wireless sensor network

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