IHBO_CA: an improved honey-badger optimization-based communication approach for energy-efficient deployment of secure flying ad-hoc network (FANET)

Abstract

The speci c features of UAV like energy e ciency, dynamic structure and mobility in Flying Ad-hoc Network (FANET) is good utilized for the selection of UAV in a vast variety of applications like disaster management, rescue management, medical, and military. So, the effectiveness of FANET is reduced by enhancing the packet transmission expenses due uncreative and indecisive communication among UAVs in multidimensional environment. The optimal path selection will support to pro cient message transmission and offer energy competent and protected communication above FANET. Thus, an Improved Honey Badger Optimization based Communication Approach (IHBO_CA) is implemented for optimal path selection among UAVs above FANET. The sinusoidal chaotic map is combined with honey badger algorithm to improve the performance of optimized communication. The IHBO_CA is implemented using MATLAB 2021a platform and outcomes demonstrate the greater effectiveness of IHBO_CA against OLSR, MP-OLSR, ACO, PSO and HBA depending on energy expenditure, overhead, time complexity, packet delivery ratio and delay.