Detection and localization sensor assignment with exact and fuzzy locations

Rowaihy, Hosam, Johnson, Matthew P., Pizzocaro, Diego ORCID: https://orcid.org/0000-0003-1976-8805, Bar-noy, Amotz, Kaplan, Lance, La Porta, Thomas and Preece, Alun David ORCID: https://orcid.org/0000-0003-0349-9057 2009. Detection and localization sensor assignment with exact and fuzzy locations. Lecture Notes in Computer Science 5516 , pp. 28-43. 10.1007/978-3-642-02085-8_3

Preview

PDF - Accepted Post-Print Version Download (304kB) | Preview

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.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Computer Science & Informatics
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Additional Information:	Subtitle: 5th IEEE International Conference, DCOSS 2009, Marina del Rey, CA, USA, June 8-10, 2009. Proceedings
Publisher:	Springer Verlag
ISBN:	9783642020841
ISSN:	0302-9743
Related URLs:	Publisher
Date of First Compliant Deposit:	30 March 2016
Last Modified:	11 Jun 2023 18:34
URI:	https://orca.cardiff.ac.uk/id/eprint/5385

Citation Data

Cited 12 times in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item