An energy balance and mobility prediction clustering algrithm for large-scale UAV ad hoc networks

Abstract

Creating a clustering structure is considered the performance of radio frequency (RF) stealth for data link in the battlefield environment and the dynamic topology characteristic for larger-scale unmanned aerial vehicle (UAV) ad hoc networks. This problem is of a great importance-to get low intercept probability of the data link and low randomness of clustering structure. An energy balance and mobility prediction (EBMP) clustering algorithm is proposed. In the initial clustering stage, the power management for information transmission is conducted in the network layer and the MAC layer. The Doppler shift is implemented to estimate the relative speeds stability degree between neighboring UAVs when they exchange Hello packets. It can be selected as cluster head (CH) where one UAV associateslower energy consumption with higher relative stability. In the cluster maintaining stage, a CH rotation process for the dynamic topology to improve resource utilization efficiency. The inter-cluster communication is enhanced by dynamic packet forwarding gateway. The simulations and analysis show that this scheme can provide better results for larger-scale UAV ad hoc networks compared to MPBC and MPCR in terms of improving CH lifetime and throughput, reducing average delay.

Review of Routing Protocols for Mobile Ad Hoc Networks

“…Rodrigues et al [11] addressed the high mobility of unmanned aerial vehicle (UAV) nodes by predicting node locations to calculate contact duration between nodes. They measured uncertainty values by assessing the progress of a node's flight plan using neighbors, integrating these factors to improve GPSR.…”

Role of Deep Learning in Mobile Ad-hoc Networks

“…Over the most recent couple of years, mobile adhoc networks have been effectively utilized in day to day applications and military applications. Their capacity to selfput together and self-adjust, without the requirement for a fundamental framework, leads their quick arrangement in nonordinary situations, such as calamity recuperation [9]. All nodes MANETs have similar features & capabilities of mobility.…”