Optimizing Energy Efficiency in Wireless Sensor Networks Using Adaptive Routing Algorithms

Abstract

Wireless Sensor Networks (WSNs) are increasingly deployed in diverse applications such as environmental monitoring, healthcare, and industrial automation. However, the limited energy capacity of sensor nodes presents a significant challenge to the longevity and reliability of these networks. This paper focuses on optimizing energy efficiency in WSNs by implementing adaptive routing algorithms. By dynamically adjusting routing paths based on node energy levels, communication costs, and network topology changes, the proposed adaptive algorithms aim to balance energy consumption across the network and extend its operational lifetime. Simulation results demonstrate that the adaptive routing approach significantly reduces energy depletion, minimizes data transmission delays, and enhances overall network performance compared to traditional static routing methods. The findings highlight the potential of intelligent routing mechanisms in achieving sustainable and energy-efficient WSN operations.