Institute of Electrical & Electronic Engineers
Ad-hoc aerial sensor networks leveraging MUAVs (Micro Unmanned Aerial Vehicles) are ideally suited to cost-efficiently explore unknown or hostile environments for example in case of incidents producing harmful gases or radiation. In this paper, the authors present results on the investigations of communication-aware steering algorithms for cooperative MUAV swarms. The mission objective is to achieve a maximum spatial exploration efficiency with the simultaneous ability to self-optimize the communication links by exploiting controlled mobility. While their previous work has mainly considered the performance of the Air-to-Air mesh network, in this paper they focus on the Air-to-Ground-link connectivity control.