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http://hdl.handle.net/123456789/27383
Title: | A Review of WSN Clustering Algorithms for Low Powered IoT Protocols |
Authors: | Wan Nur Hurul Asma Wan Hassan Aizat Faiz Ramli Hafiz Basarudin Izanoordina Ahmad Aduwati Sali UniKL BMI |
Keywords: | Internet of things (IoT) LoRaWAN Energy efficiency Design clustering |
Issue Date: | 5-Apr-2023 |
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. |
Description: | This article is indexed by Scopus |
URI: | http://hdl.handle.net/123456789/27383 |
Appears in Collections: | Journal Articles |
Files in This Item:
File | Description | Size | Format | |
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A Review of WSN Clustering Algorithms for Low Powered IoT Protocols.pdf | 198.81 kB | Adobe PDF | View/Open |
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