Optimizing Energy Efficiency in Wireless Sensor Networks Using Adaptive Routing Algorithms
Year: 2026
Type: article
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.
Author: Sunday Elijah Ani
Institution: Federal Polytechnic Ngodo-Isuochi, Abia State
Language: English
Subfield: Computer Networks and Communications
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7160562080
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