Abstract
Due to the use of WSN technologies these days, there have been many developments in WSN. And many types of researches have been proposed for the sensor nodes validation in the spots. The efficiency of the WSN is strongly relying on the lifetime of the network. Validation is the most common approach used in WSN to increase the lifetime, the efficiency and the performance of the wireless network. In this paper, a validation and clustering mechanisms are presented by using SB-SPC algorithm for specified the bad sensor nodes in the applications and excluding them from the application to prolong the functioning of WSN. SPC algorithm determines the most accurate not working sensors with the help of the eigenvalues and eigenvectors by using receive signal strength (RSS). The result of the SB-SPC algorithm shows that this approach specifies the almost not working sensors properly, deleting them from the domain, and achieve good performance in the wireless network.
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Almajidi, A.M., Pawar, V.P. (2021). SB-Spectral Clustering Algorithm for Clustering and Validating Sensor. In: Yang, XS., Sherratt, S., Dey, N., Joshi, A. (eds) Proceedings of Fifth International Congress on Information and Communication Technology. Advances in Intelligent Systems and Computing, vol 1184. Springer, Singapore. https://doi.org/10.1007/978-981-15-5859-7_8
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DOI: https://doi.org/10.1007/978-981-15-5859-7_8
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