Detection and Localization Sensor Assignment with Exact and Fuzzy Locations

  • Hosam Rowaihy
  • Matthew P. Johnson
  • Diego Pizzocaro
  • Amotz Bar-Noy
  • Lance Kaplan
  • Thomas La Porta
  • Alun Preece
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5516)


Sensor networks introduce new resource allocation problems in which sensors need to be assigned to the tasks they best help. Such problems have been previously studied in simplified models in which utility from multiple sensors is assumed to combine additively. In this paper we study more complex utility models, focusing on two particular applications: event detection and target localization. We develop distributed algorithms to assign directional sensors of different types to multiple simultaneous tasks using exact location information. We extend our algorithms by introducing the concept of fuzzy location which may be desirable to reduce computational overhead and/or to preserve location privacy. We show that our schemes perform well using both exact or fuzzy location information.


Sensor Network Wireless Sensor Network Detection Probability Detection Task Task Type 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Hosam Rowaihy
    • 1
  • Matthew P. Johnson
    • 2
  • Diego Pizzocaro
    • 3
  • Amotz Bar-Noy
    • 2
  • Lance Kaplan
    • 4
  • Thomas La Porta
    • 1
  • Alun Preece
    • 3
  1. 1.Dept. of Computer Science and EngineeringPennsylvania State UniversityUSA
  2. 2.Dept. of Computer Science, Graduate CenterCity University of New YorkUSA
  3. 3.School of Computer ScienceCardiff UniversityUK
  4. 4.U.S. Army Research LaboratoryUSA

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