Developing an adaptive active sleep energy efficient method in heterogeneous wireless sensor network

Developing an adaptive active sleep energy efficient method in heterogeneous wireless sensor network

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The development of an energy-efficient wireless sensor network is a difficult problem since batteries are used to energize the sensor nodes. In certain circumstances, charging a battery is extremely difficult or even impossible. If the heterogeneity of sensor nodes is not correctly used, it can result in unequal energy consumption and lowering network performance. By combining power control and data aggregation, clustering has the ability to reduce energy consumption and extend network life. Many routing methods have been suggested for network optimization, with a major focus on energy efficiency, network longevity, and clustering processes. We proposed the Adaptive Active Sleep Energy Efficient Method (AASEEM) for Wireless Sensor Networks (WSNs), which takes into account network heterogeneity. We examine and improve some difficulties including network stability and cluster head selection procedure. The principle of providing a detailed pairing among sensor nodes is used to maximize energy usage. The results of the simulations show that the suggested method improves network performance significantly and it might be a beneficial technique for WSNs.