Nelder Mead-Based Spider Monkey Optimization for Optimal Power and Channel Allocation in MANET

Abstract

The Mobile Ad-hoc Network (MANET) includes both the optimal allocation of shared channels and power in a network. Hence, obtaining the trade-off between energy consumption and delay is the major challenge. The source-constrained and maximizing lifetime of the unreliable wireless network includes optimal power allocation. We proposed an Integrated Spider Monkey Optimization Algorithm (ISMOA) for the minimization of energy consumption and the enhancement of throughput in MANET. The Nelder Mead Model (NMM) is used to improve the performance of the local leader stage in the spider monkey optimization algorithm. In this work, the novel approach is used to improve the performance of total energy consumption, throughput, and delay. The experimental works are executed in NS-2 software. The experimental results demonstrate the low delay, energy consumption with high throughput performance. Moreover, the proposed method outperforms the optimal performance compared to state-of-the-art methods.