Enhanced Search-and-Rescue Optimization-Enabled Secure Route Planning Scheme for Internet of Drones Environment

The Internet of Drones (IoD) is greatly developed and promotes many civil applications. However, it can still be prone to several security problems which threaten public safety. issue poses further upon linking the IoD Internet, as its data stream exposed attack. For secure communication between drones, an effective route planning scheme with a major intention accomplishing needed. With this aim, study develops enhanced search-and-rescue optimization-enabled (ESRO-SRP) for environment. presented ESRO-SRP technique mainly aims derive set optimal routes destination. In addition, algorithm derived by integration quasi-oppositional-based learning (QOBL) concept conventional SRO algorithm. Moreover, fitness function encompassing different input parameters such residual energy, distance, degree trust. experimental validation carried out under aspects, results demonstrated enhancements model over recent approaches. has provided increased packet delivery ratio (PDR) 86%, whereas BRUe-IoE, ORP-FANET, UAVe-WSN, TR-UAV Swarm approaches have accomplished minimal PDR 79.60%, 73.60%, 67.60%, 63.20%, respectively.