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Dynamic Low Power Traffic Pattern for Energy Constrained Wireless Sensor Networks

2025/10/01 by Almamoon Alauthman, Alauthman, Almamoon
Computer Science · #Energy Efficient Wireless Sensor Networks #FOS: Computer and information sciences #Networking and Internet Architecture (cs.NI)

paper · pdf · doi:10.48550/arxiv.2510.00588

openalex publication_date 2025/10/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

Wireless Sensor Networks (WSNs) are extensively utilized in critical applications, including remote monitoring, target tracking, healthcare systems, industrial automation, and smart control in both residential and industrial settings. One of the primary challenges in these systems is maintaining energy efficiency, given that most sensor nodes rely on limited battery resources. To tackle this problem, this study introduces an energy-saving strategy designed for tree-structured networks with dynamic traffic patterns. The approach focuses on lowering power usage by decreasing the length and occurrence of idle listening state where nodes remain active unnecessarily while waiting for data transmissions that may never occur. By reducing this form of energy waste, the proposed approach is designed to extend the operational lifetime and enhance the throughput of the wireless sensor network. Simulation results obtained using the OMNeT++ simulator with the MiXiM framework demonstrate that the solution significantly reduces energy consumption, increases data throughput, and improves overall network efficiency and longevity.

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