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

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

11 Scopus citations

Abstract

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.

Original languageEnglish (US)
Title of host publicationDistributed Computing in Sensor Systems - 5th IEEE International Conference, DCOSS 2009, Proceedings
Pages28-43
Number of pages16
DOIs
StatePublished - Aug 20 2009
Event5th IEEE International Conference on Distributed Computing in Sensor Systems, DCOSS 2009 - Marina del Rey, CA, United States
Duration: Jun 8 2009Jun 10 2009

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5516 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other5th IEEE International Conference on Distributed Computing in Sensor Systems, DCOSS 2009
CountryUnited States
CityMarina del Rey, CA
Period6/8/096/10/09

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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