Partial sensing coverage and deployment efficiency in wireless directional sensor networks

Yun Wang, Zhifeng Xiao, Yanwei Wu, Anthony G. Stephan, Jacob M. Siegers

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations


Unlike most existing works that focus on a conventional omni-directional sensor network, we investigate the sensing coverage problem in a directional sensor network through mathematically modeling, analysis, and computer-based simulation evaluation. Research results show: 1) A factor of (2π/θ) more sensors will be required to provide the same sensing coverage in a θ(θ < 2π)-directional sensor network with respect to its counterpart omni-directional sensor network; 2) Employing application-tolerable partial sensing coverage is of significant importance for directional sensor network implementation in practice, as a noticeable fraction of sensors can be saved; For example, 50% and 66.67% sensors can be saved for 90% sensing coverage as compared to 99% and 99.9% sensing coverage respectively under the same network settings; 3) The node saving rate of employing partial sensing coverage α(α < 1) with respect to full sensing coverage f(f ≈1), derived as ηα = ln(1-α)-ln(1-f)/ln(1-f), is solely determined by the sensing coverage requirement in an application and is independent of sensor features. Simulation results validate the modeling, derivation, and analysis.

Original languageEnglish (US)
Title of host publication2014 Wireless Telecommunications Symposium, WTS 2014
PublisherIEEE Computer Society
ISBN (Print)9781479912971
StatePublished - Jan 1 2014
Event13th Annual Wireless Telecommunications Symposium, WTS 2014 - Washington, DC, United States
Duration: Apr 9 2014Apr 11 2014

Publication series

NameWireless Telecommunications Symposium
ISSN (Print)1934-5070


Other13th Annual Wireless Telecommunications Symposium, WTS 2014
Country/TerritoryUnited States
CityWashington, DC

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Signal Processing
  • Electrical and Electronic Engineering


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