Performance Analysis of Machine Learning Algorithms with Clustering Protocol in Wireless Sensor Networks

Rahma Gantassi, Zaki Masood, Sol Lim, Quota Alief Sias, Yonghoon Choi
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Abstract

In wireless sensor networks (WSN), machine learning (ML) algorithms have an important role in cluster head (CH) selection according to several quality of service (QoS) metrics. This paper provides a comprehensive review and a case study on an experimental testbed of the implementation of various ML algorithms within various clustering protocols in WSNs.
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无线传感器网络中具有聚类协议的机器学习算法性能分析
在无线传感器网络(WSN)中,机器学习(ML)算法在根据多个服务质量(QoS)指标选择簇头(CH)中起着重要作用。本文对WSNs中各种聚类协议中实现各种ML算法的实验测试平台进行了全面的回顾和案例研究。
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