@inproceedings{a7b91e7121e14f218d9f389188deb730,
title = "Detection and localization sensor assignment with exact and fuzzy locations",
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.",
author = "Hosam Rowaihy and Johnson, {Matthew P.} and Diego Pizzocaro and Amotz Bar-Noy and Lance Kaplan and {La Porta}, Thomas and Alun Preece",
year = "2009",
doi = "10.1007/978-3-642-02085-8_3",
language = "English (US)",
isbn = "3642020844",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "28--43",
booktitle = "Distributed Computing in Sensor Systems - 5th IEEE International Conference, DCOSS 2009, Proceedings",
note = "5th IEEE International Conference on Distributed Computing in Sensor Systems, DCOSS 2009 ; Conference date: 08-06-2009 Through 10-06-2009",
}