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With the rise of more resourceful unmanned aerial vehicles (UAVs), their inclusion into robotic sensor networks (RSNs) is inevitable. The highly mobile nature of UAVs allows greater monitoring capabilities, making them most suitable for RSNs. Compared to traditional nodes in RSNs, UAVs suffer even more from communication disruptions and energy depletion, must often rapidly determine actions for themselves,...
Optimized task allocation in robotic sensor networks is a crucial yet complex problem. A successful allocation must efficiently and rapidly coordinate agents to resolve a greater objective while being resilient to incomplete contextual information. Prior work introduced a two-step task allocation process which first determines a set of suitable robots via an auction, then optimizes the task allocation...
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