Energy Hole Minimization in Wireless Mobile Ad Hoc Networks Using Enhanced Expectation-Maximization

In Wireless Mobile Ad Hoc Networks (MANETs), the nodes consist of a wireless transmitter and receiver for communication. The nodes can move around easily within the range of the network. These nodes transfer the information through base stations. It does not take many cables for connection. This wireless network works too easily and rapidly compared to the wired network. Various sensor nodes are associated with MANET and it acquires limited energy source and memory capabilities. This research addressed these disadvantages by using novel techniques in MANET. The main aim is to increase the detection range of sensors remaining nodes when nodes fall in premature death, to prevent the formation of holes in the supply network of wireless sensors. In this research work, utilized the Expectation Maximization approach for uneven clustering and cluster head selection that aims to decrease energy consumption in the data transmission process that contributes to the highest energy consumption in MANET. Experiments proved that the proposed method achieved better results when compared with other algorithms with respect to various performance metrics.