Detection of Energy Efficient Sensor Node in EHWSN

Wireless sensor networks (WSNs) are commonly used in various fields, but the limited lifespan of batteries used to power them can pose challenges, particularly in remote or inaccessible areas. Energy harvesting techniques are a promising solution to extend the lifetime of WSNs. However, detecting the appropriate sensor energy for a specific EHWSN application is challenging and depends on various factors. This study proposes the use of KNN, SVM algorithms for classification of the best node performances and gives a comparative study of the classification algorithms, to evaluate the effectiveness of different energy efficient sensor nodes in order to assign the suitable energy harvester for any application. The experimental findings imply that the suggested method can effectively determine the ideal Energy Efficient Sensor Node in an Energy Harvesting WSN (ESWSN).