Distributed sensor network for real time tracking

Authors:
Bryan Horling;Régis Vincent;Roger Mailler;Jiaying Shen;Raphen Becker;Kyle Rawlins;Victor Lesser
Affiliations:
University of Massachusetts, Dept. of Computer Sciences, Amherst, MA;University of Massachusetts, Dept. of Computer Sciences, Amherst, MA;University of Massachusetts, Dept. of Computer Sciences, Amherst, MA;University of Massachusetts, Dept. of Computer Sciences, Amherst, MA;University of Massachusetts, Dept. of Computer Sciences, Amherst, MA;University of Massachusetts, Dept. of Computer Sciences, Amherst, MA;University of Massachusetts, Dept. of Computer Sciences, Amherst, MA
Venue:
Proceedings of the fifth international conference on Autonomous agents
Year:
2001

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Abstract

In this paper we describe our solution to a real-time distributed resource allocation application involving distributed situation assessment. The hardware configuration consists of a set of reconfigurable sensors at fixed locations, each having local processing and low-bandwidth communication capabilities with other sensor nodes. The objective is to track objects moving in the environment in real-time as best as possible, given uncertainty and constraints on sensor loads, communication, power consumption, action characteristics, and clock synchronization. Once the target is detected, the sensors must communicate and cooperate so that, within a given window of time, the data needed to triangulate the position of the target can be collected. Our solution to this problem decomposes the environment into a number of sectors, where individual sensor nodes in a sector are specialize dynamically to address different parts of the goal. We describe our solution to this problem in detail, including the high-level architecture and a number of the more interesting implementation challenges. Results and future direction are also covered.