Maximum likelihood estimation based clustering algorithm on wireless sensor network-A review

This paper present the application of Maximum Likelihood Estimation (ML) algorithm for the cluster head selection with an unequal clustering protocol. In wireless sensor network it is generally found that each sensor node has their own limitation of power source which is generally not rechargeable. Therefore, an energy efficient clustering, routing and transmission scheduling has been always a priority that reduces the energy hole problem and increase the network lifetime.