Optimizing Energy Consumption in Wireless Sensor Network (WSN) Nodes Through Priority-Based Task Scheduling
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Keywords: Wireless Sensor Network, Energy Efficiency, Task Scheduling, Task Priority, Network LifetimeAbstract
Wireless Sensor Networks (WSNs) are low-power wireless network technologies that are widely used in various monitoring applications. However, energy limitations in sensor nodes remain a major problem that affects network lifetime and system reliability. Existing energy conservation approaches generally focus on communication aspects, while internal node task management has not been optimally utilized. This study aims to optimize energy consumption in WSN nodes through the application of priority-based task scheduling to extend network lifetime and improve the success rate of critical task execution. This study uses a simulation-based quantitative study by applying a priority-based task scheduling algorithm at the sensor node level. The performance of the proposed method is compared to scheduling without priority using metrics of average node energy consumption, network lifetime, energy distribution between nodes, and task execution success. Simulation results show that priority-based scheduling can reduce average node energy consumption by approximately 33%, extend network lifetime by up to two times, and increase the success rate of high-priority task execution from 72.5% to 96.8%. Additionally, energy consumption distribution among nodes becomes more stable compared to the non-priority method. The results of the study prove that priority-based task scheduling is effective in optimizing energy consumption and improving the sustainability of WSNs. Further research can develop this approach by considering dynamic priority adaptation and implementation in real WSN environments.
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