An energy-efficient self-deployment scheme in intelligent mobile sensor networks

Chan Myung Kim, Yong Hwan Kim, Youn Hee Han, Heon Jong Lee, Young Sik Jeong

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

10 Scopus citations

Abstract

In traditional static wireless sensor networks, it is sometimes impossible to deploy the sensors manually when they are distributed in unexploited, hostile, or disaster areas. If each sensor has the locomotion capability, it can re-deploy itself using the location information of neighbor sensors. In our previous study, we showed that moving sensors to the centroids of their Voronoi polygon generated by the location information of neighbor sensors is efficient for expanding the coverage area. In this paper, we present an improved potential-field-based self-deployment scheme to utilize the attractive force generated from the centroid of a sensor's local Voronoi polygon as well as the repulsive force usually used in the traditional potential-field-based scheme. Simulation results show that our scheme can achieve higher coverage and less movement in shorter time than the traditional potential-field-based scheme.

Original languageEnglish
Title of host publication2010 4th International Conference on Multimedia and Ubiquitous Engineering, MUE 2010
DOIs
StatePublished - 2010
Event2010 4th International Conference on Multimedia and Ubiquitous Engineering, MUE 2010 - Cebu, Philippines
Duration: 11 Aug 201013 Aug 2010

Publication series

Name2010 4th International Conference on Multimedia and Ubiquitous Engineering, MUE 2010

Conference

Conference2010 4th International Conference on Multimedia and Ubiquitous Engineering, MUE 2010
Country/TerritoryPhilippines
CityCebu
Period11/08/1013/08/10

Keywords

  • Mobile sensor networks
  • Potential field
  • Self-deployment
  • Voronoi diagram

Fingerprint

Dive into the research topics of 'An energy-efficient self-deployment scheme in intelligent mobile sensor networks'. Together they form a unique fingerprint.

Cite this