Network Lifetime Improvement for WSN Using Machine Learning

Wireless sensor networks is one of the most competent technology for handling civil and military applications due to the ease of deployment of sensor nodes. At the same time WSN is associated with internal and external factors which demands redesigning of the network. Since WSN is dynamic in nature the self learning Machine learning algorithms can react according to the changing WSN. This paper uses machine learning clustering approach to analyze performance of LEACH protocol in terms of residual energy and network lifetime of Sensor Nodes.