Maximizing Throughput and Energy Efficiency in Manets: Unveiling a Hybrid PSO-MVO Device Discovery Approach for D2D Communication

Abstract

The process of Mobile Ad Hoc Networking (MANET) for Device Discovery during Device-to-Device (D2D) communication, incorporating a hybrid optimization mechanism to maximize throughput and energy efficiency, involves a multi-faceted approach. This intricate interplay of adaptive algorithms, power management, and intelligent routing culminates in a dynamic and efficient MANET during D2D communication, where the hybrid optimization mechanism maximizes both throughput and energy efficiency, paving the way for a responsive and sustainable wireless communication ecosystem. This paper presents a novel hybrid PSO-MVO approach to optimize device discovery in Mobile Ad Hoc Networks (MANETs), significantly enhancing throughput and energy efficiency. By combining the strengths of Particle Swarm Optimization (PSO) and Multi-Verse Optimizer (MVO), the proposed method achieves balanced optimization, robust performance, and reduced overhead. Simulation results demonstrate the approach’s effectiveness and scalability, making it a promising solution for efficient D2D communication in dynamic network environments.