Multi-Agent Simulation for Assessing Massive Sensor Deployment
Hynes, Sean E.
Rowe, Neil C.
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We present the design and implementation of a multi-agent simulation that models deployment and coverage of sensors performing collaborative target detection. The focus is on sensor networks with enough sensors that humans cannot individually manage each. Experiments evaluated both known and novel deployment algorithms, and considered effects of the sensor type, number of sensors deployed, presence of obstacles, and mobility of the sensors. A particular focus was barrier (traversal) coverage which has many military applications but which has been less studied than other sensor placement problems; experiments showed that good algorithms for it are different than those good for area monitoring. This work provides both useful data for guiding sensor deployment and a valuable testbed for planning of sensor networks.
This paper appeared in the Journal of Battlefield Technology, Vol. 7, No. 2, July 2004, 23-26.
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