Detection and localization sensor assignment with exact and fuzzy locations
Johnson, Matthew P.
La Porta, Thomas
Preece, Alun David
- Publisher: Springer Verlag
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\ud is assumed to combine additively. In this paper we study more complex utility models, focusing on two particular applications: event detection and target localization.\ud 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\ud 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.