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

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.