1 research outputs found
Intercepting a Target with Sensor Swarms
The article of record as published may be located at http://dx.doi.org/10.1109/HICSS.2013.281This paper introduces a new coordination method to intercept a mobile
target in urban areas with a team of sensor platforms. The task is to intercept
the target before it leaves the area. The approach combines algorithmic
concepts from ant colony and particle swarm optimization in order to bias the
search and to spread the team in the search area. The algorithms introduced
are tested in simulation experiments on grids. The success probabilities
measured are relatively high for most parameter combinations, and the target
is intercepted in roughly half the simulation time on average. Furthermore,
the experiments reveal robust behavior with regard to the parameter setting