Sensor density for complete information coverage in wireless sensor networks

  • Authors:
  • Bang Wang;Kee Chaing Chua;Vikram Srinivasan;Wei Wang

  • Affiliations:
  • Department of Electrical and Computer Engineering (ECE), National University of Singapore (NUS), Singapore;Department of Electrical and Computer Engineering (ECE), National University of Singapore (NUS), Singapore;Department of Electrical and Computer Engineering (ECE), National University of Singapore (NUS), Singapore;Department of Electrical and Computer Engineering (ECE), National University of Singapore (NUS), Singapore

  • Venue:
  • EWSN'06 Proceedings of the Third European conference on Wireless Sensor Networks
  • Year:
  • 2006

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Abstract

Coverage is a very important issue in wireless sensor networks. Current literature defines a point to be covered if it is within the sensing radius of at least one sensor. This is a conservative definition of coverage and we have previously proposed a new notion of information coverage. Compared with the conventional definition of coverage, a point can still be information covered even if it is not within the sensing disk of any sensor. The density requirements for complete information coverage of a field are analyzed and simulated for a random sensor deployment. Our results show that significant savings in terms of sensor density can be achieved with information coverage.