Abstract
WSN (Wireless Sensor Networks) can be considered as a wireless network. Sensor nodes are exchanging data between them to transmit data into base station. Sensor contains small battery that is difficult to rechargeable or replacement. So, the challenges are improving the prolong life time of sensor. This paper, presents a k-mean clustering algorithm to enhance energy saving (ES) and prolong life time of sensor node in term of the packet of L-bit towards some destination of distance D. D from sensor nodes to base station is decreased in this work by dividing the region of interest into number of clusters. Each node transmits data into CH (cluster head), then the cluster head transfers the information towards BS (Base station). Energy efficiency is improved as well. Custom Python simulator results show that our work increases energy saving from 14.43% in to 26.61% and the significant improvement of the lifetime of the sensor from 15.03% to 66.78%.
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AL-Janabi, D.T.A., Hammood, D.A., Hashem, S.A. (2022). Extending WSN Life-Time Using Energy Efficient Based on K-means Clustering Method. In: Chaubey, N., Thampi, S.M., Jhanjhi, N.Z. (eds) Computing Science, Communication and Security. COMS2 2022. Communications in Computer and Information Science, vol 1604. Springer, Cham. https://doi.org/10.1007/978-3-031-10551-7_11
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