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A Review of WSN Clustering Algorithms for Low Powered IoT Protocols

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Advanced Materials and Engineering Technologies

Part of the book series: Advanced Structured Materials ((STRUCTMAT,volume 162))

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Abstract

In technological advancement, Internet of things or IoT technology is widely used in everyday life such as environmental monitoring, military, smart lifestyle, and transportation. IoT technology produces a smart device that connects sensors or devices to produce and analyses data. Wireless IoT networks consisting of battery-powered devices require highly energy efficient network access. Large communication links between devices will exhaust energy during the transmission process, causing a shift in network topology and degrading the quality of service QoS. Cluster techniques developed for wireless sensor networks can be applied to IoT to increase energy efficiency, spatial reuse, and large IoT networks’ scalability. This paper surveys designed clustering techniques philosophy that can be implemented in IoT.

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Acknowledgements

This research is supported by Malaysia Education Minister grant (Application ID-295462-313519).

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Correspondence to Aizat Faiz Ramli .

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Hassan, W.N.H.A.W., Ramli, A.F., Basarudin, H., Ahmad, I., Sali, A. (2022). A Review of WSN Clustering Algorithms for Low Powered IoT Protocols. In: Ismail, A., Dahalan, W.M., Ă–chsner, A. (eds) Advanced Materials and Engineering Technologies. Advanced Structured Materials, vol 162. Springer, Cham. https://doi.org/10.1007/978-3-030-92964-0_20

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  • DOI: https://doi.org/10.1007/978-3-030-92964-0_20

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