2020 IEEE International Conference on Communication, Networks and Satellite (Comnetsat) 2020
DOI: 10.1109/comnetsat50391.2020.9328959
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An Adaptive Framework Using Machine Learning in Wireless Sensor Network

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Cited by 8 publications
(2 citation statements)
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“…Moreover, it is noticed that the data were successfully transmitted to the base station. Therefore, 77% of the data assigned to each sensor node were used and successfully transmitted to the sink node [ 28 ]. The cluster head selection with a good energy level plays a major role in successfully transmitting data packets.…”
Section: Resultsmentioning
confidence: 99%
“…Moreover, it is noticed that the data were successfully transmitted to the base station. Therefore, 77% of the data assigned to each sensor node were used and successfully transmitted to the sink node [ 28 ]. The cluster head selection with a good energy level plays a major role in successfully transmitting data packets.…”
Section: Resultsmentioning
confidence: 99%
“…In ref. [28] contrast to the LEACH protocol, this study provides cluster‐based routing strategies utilising the k‐mean and the ideal value for clustering by using Calinski Harabasz to examine how the ML techniques used in WSNs affect energy efficiency, the result of this proposal was improved energy consumption, which balances the energy consumption among the cluster‐heads. The authors in ref.…”
Section: Related Workmentioning
confidence: 99%