Implementation of DEWMA-Based Hello Packet for AODV to Improve the Performance of FANET with 3D-GMM

Flying ad hoc network (FANET) is a new sub-domain of MANET (mobile ad hoc network) with moving nodes known as automated flying vehicles (AFV) carrying various loads such as cameras and sensors to work in a limited geographical area. AFV are wirelessly communicated in a peer-to-peer fashion through hello packets; this periodic hello packet transmission consumes lots of energy. In this paper, a novel deep exponentially weighted moving average (DEWMA) technique is proposed to schedule hello packets using the relative velocity concept in the three-dimensional Gauss–Markov mobility model, which is implemented in the AODV routing protocol. The novel technique uses velocity to schedule hello intermissions in such a way that it not only optimizes power consumption but also considers non-breakage communication. Research involving simulation is currently underway using NS3.27, underscoring the importance of the innovative proposed study in terms of achieving energy savings of 3–26% in high-density and low-density scenarios, respectively. Besides, it outperforms in terms of throughput, PDR, and end-to-end delay network performance.