Opinion-Based Task Allocation Strategy for Mobile Sensor Networks

In this paper, we propose an opinion-based task allocation strategy for mobile sensor networks to conduct simultaneous multi-source tracking while doing measurement collection and information estimation. Mobile sensors form opinions of the field based on the information obtained by sensors, and opinion dynamics describe how sensors communicate with each other and generate decisions on task assignments for multi-source tracking. Triggering conditions of running opinion dynamics for task allocation are also provided, determining when it is necessary to divide sensors into groups. Simulation results with a 12-sensor network tracking two different sources validate the proposed opinion-based task allocation strategy.