Statistical Evaluation of Power-Aware Routing Protocols for Wireless Networks: An Empirical Study

Distributed wireless networks use low-power nodes, battery-powered routers, and base-station nodes. Routing strategies lose energy due to distance-dependent transmission and reception. Researchers design low-power routing solutions for wireless networks. Each technique has unique advantages, restrictions, and research options. Protocols vary in energy consumption, throughput, latency, packet delivery ratio (PDR), scalability, and computational complexity. Researchers can't choose ideal context-aware network models due to diverse performance measurements. This article addresses application-specific deployment strengths to reduce uncertainty. This discussion may help researchers choose context-specific routing models. This article compares power-aware routing model performance measures. This comparison may be used to construct routing models for low-delay, high-throughput, high PDR installations, etc. This paper proposes an algorithm rank score (ARS) with performance metrics. Network designers may employ high-ARS routing models to achieve performance balance over numerous assessments.