Exact and Fuzzy Sensor-Task Assignment
Hosam Rowaihy, Matthew Johnson, Diego Pizzocaro, Amotz Bar-Noy, Lance Kaplan, Thomas La Porta, Alun D. Preece · 2009
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. I.