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A Review of WSN Clustering Algorithms for Low Powered IoT Protocols

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dc.contributor.author Wan Nur Hurul Asma Wan Hassan
dc.contributor.author Aizat Faiz Ramli
dc.contributor.author Hafiz Basarudin
dc.contributor.author Izanoordina Ahmad
dc.contributor.author Aduwati Sali
dc.contributor.author UniKL BMI
dc.date.accessioned 2023-04-05T07:19:25Z
dc.date.available 2023-04-05T07:19:25Z
dc.date.issued 2023-04-05
dc.identifier.uri http://hdl.handle.net/123456789/27383
dc.description This article is indexed by Scopus en_US
dc.description.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. en_US
dc.language.iso en_US en_US
dc.subject Internet of things (IoT) en_US
dc.subject LoRaWAN en_US
dc.subject Energy efficiency en_US
dc.subject Design clustering en_US
dc.title A Review of WSN Clustering Algorithms for Low Powered IoT Protocols en_US
dc.type Book chapter en_US
dc.conference.name Advanced Structured Materials, Volume 162, 2022, Pages 205-214 en_US
dc.conference.year 2022 en_US


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