Exact and Fuzzy Sensor-Task Assignment

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. Exact and Fuzzy Sensor-Task Assignment. Presented at: Proc 3rd Annual Conference of the International Technology Alliance (ACITA), University of Maryland, 2009. pp. 1-8.

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Abstract

Sensor networks introduce new resource allocation problems in which sensors need to be assigned to the tasks they best help. In the past, such problems have been 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 sensing resources of different types to multiple simultaneous tasks that have different information needs. We show that our schemes perform well using both exact location information or fuzzy location information, which may be desirable to save on computational overhead and/or for privacy reasons.

Item Type:	Conference or Workshop Item (Paper)
Status:	Published
Schools:	Computer Science & Informatics
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Last Modified:	11 Jun 2023 01:18
URI:	https://orca.cardiff.ac.uk/id/eprint/5388

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