Dispersal Foraging Strategy with Cuckoo Search Optimization based Path Planning in Unmanned Aerial Vehicle Networks

Unmanned aerial vehicles (UAVs) are assumed to be a promising model of automatic emergency tasks in dynamic marine ecosystems. But, the real-time communication efficacy betwixt UAVs and base platforms is developing serious challenge. The compact-sized powerful flying robots can wirelessly controlled accomplish end with without human involvement. still face severe challenges that limit dream completely autonomous unmanned machines. main difficulties contain path planning hindrance avoidance such robots, which mandatory but carry out application-specific functionality either indoor or outdoor environments. This study introduces new Dispersal Foraging Strategy Cuckoo Search Optimization based Path Planning (DFSCSO-PP) technique for UAV networks. In presented DFSCSO-PP technique, identification optimal paths data transmission performed network. addition, involves allocation resources while finding Moreover, DFSCSO designed by integrating DFS concept into CSO method avoid local optima problems. A widespread simulation analysis exhibit enhanced outcome approach. detailed set comparative studies assured improved performance over other approaches.