A Novel Gradient Boosted Energy Optimization Model (GBEOM) for MANET

Mobile Ad Hoc Network (MANET) is an infrastructure-less network that comprised of a set nodes move randomly. In MANET, the overall performance improved through multipath multicast routing to achieve quality service (quality service). this, different are involved in information data collection and transmission destination network. The combined presented energy-efficient classification nodes. route identification established based on broadcast by transmitting packet, evaluating delivery ratio necessary optimal Furthermore, energy consumption overhead considered essential factors for effective rate better rate. this paper, Gradient-Based Energy Optimization model (GBEOM) MANET proposed Initially, Weighted Multi-objective Cluster-based Spider Monkey Load Balancing (WMC-SMLB) technique utilized obtaining efficiency load balancing routing. WMC algorithm applied perform efficient node clustering process from mobile MANET. with higher minimum residual bandwidth estimation. Next, Gradient Boosted Multinomial ID3 Classification improve minimal efficiency. GBEOM exhibits ∼4%