Abstract
The Internet of Things (IoT) sensors have been widely applied into human social activities for a long time. To better use the limited energy resource, an energy-balancing based cluster-head alternatively selecting and cluster-node evenly clustering strategy is proposed in this paper. First, the optimal number of cluster nodes is obtained through simulation. Then, the weights for each cluster-head node are set according to the proposed strategy to balance the remaining energy of IoT sensor in the entire network. The simulation results show that, compared with the traditional clustering algorithm, the proposed clustering algorithm can balance energy consumption and extend life-time of the whole sensor network.
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References
Yang, X.: In-depth discussion on transmission line condition monitoring system. Sci. Technol. Inf. (30), 20 (2008). (in Chinese)
Heinzelman, W.B., Chandrakasan, A.P., Balakrishnan, H.: An application specific protocol architecture for wireless microsensor networks. IEEE Trans. Wirel. Commun. 1, 660–670 (2002)
Bakaraniya, P., Sheetal, M.: K-LEACH: an improved LEACH protocol for, lifetime improvement in WSN. Int. J. Eng. Trends Technol. 4(5), 1521–1526 (2013)
Beiranvand, Z., Patooghy, A., Fazeli, M.: I-LEACH: an efficient routing algorithm to improve performance & to reduce energy consumption in Wireless Sensor Networks. In: Information and Knowledge Technology, pp. 13–18. IEEE (2013)
Upadhyay, A., Kumar, R., Tiwari, S.K.: Modified LEACH protocol for sensor network. In: International Conference on Futuristic Trends on Computational Analysis and Knowledge Management, pp. 301–304. IEEE (2015)
Sarma, H.K.D., Rai, P., Deka, B.: Energy efficient communication protocol for wireless sensor networks with mobile node. In: Recent Advances and Innovations in Engineering, pp. 1–6. IEEE (2014)
Paul, A.K., Sato, T.: Effective data gathering and energy efficient communication protocol in wireless sensor network. In: International Symposium on Wireless Personal Multimedia Communications, pp. 1–5. IEEE (2011)
Acknowledgement
This work was supported by the Science and Technology Project of State Grid Jiangsu Electric Power Co., Ltd. (J2017072) and the National Science and Technology Major Project (2017ZX03001013).
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Zhu, H., Chen, Y., Shao, M., Xiang, N., Peng, L. (2020). An Energy-Balancing Based Clustering Method in Sensor Networks for IoT Sensing and Monitoring. In: Liu, Q., Mısır, M., Wang, X., Liu, W. (eds) The 8th International Conference on Computer Engineering and Networks (CENet2018). CENet2018 2018. Advances in Intelligent Systems and Computing, vol 905. Springer, Cham. https://doi.org/10.1007/978-3-030-14680-1_36
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DOI: https://doi.org/10.1007/978-3-030-14680-1_36
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