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Abstract. 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.
Related topics:
sensors, simulation and training
View first page of "Hynes: Multi-agent Simulation for Assessing Massive Sensor Deployment"
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