Optimal deployment of heterogeneous sensors in complex environments

An optimal resource management strategy in complex environments is discussed in this paper. Taking into account the characteristics of the detection environment, accessibility matrix of heterogeneous platforms is introduced as a constrain. And non-isomorphic environment value distribution map is constructed to mark the priorities of the areas. Sensor detection range model is improved to better deal with the obstacles issue. Above models are the foundations of multi-sensor resource deployment problem. Using multi-objective particle swarm optimization (MOPSO) algorithm, a sensor distribution scheme is proposed, based on which the optimal deployment of heterogeneous platforms is gained. Experiments show that the strategy proposed in this paper can achieve regional coverage of more than 90%, and the targets in key areas can be detected with high precision.