Genetic algorithm for solving minimal exposure path in mobile sensor networks

Minimal Exposure Dubins Orienteering Problem

“…They also have limitations dealing with heterogeneous networks or a large number of sensor nodes [12]. Due to the high complexity of the MEP, most of the recent literature has employed heuristics such as genetic algorithms [13], [14], [11]. Different approaches have also been applied for aerial robots with dynamic constraints to avoid threatening zones in 3D [15], [16].…”

“…Different sensing models can be found in the literature [12], from Boolean disks to probabilistic ones. We consider the broadly used attenuated disk coverage model since it accurately reflects the detection capability [14], [11].…”