An adaptive path planning algorithm for cooperating unmanned air vehicles

An adaptive path planning algorithm is presented for cooperating unmanned air vehicles (UAVs) that are used to deploy and operate land-based sensor networks. The algorithm employs a global cost function to generate paths for the UAVs, and adapts the paths to exceptions that might occur. Examples are provided of the paths and adaptation.