EEECA: Enhanced Energy Efficient Clustering Algorithm for Mobile Wireless Sensor Networks
K. Juliet Catherine Angel, E. George Dharma Prakash Raj · 2017
Mobile Wireless Sensor Network (MWSN) is a developing field and is becoming a hot research area. MWSNs are much more versatile than the static sensor networks as they can be deployed in any scenario and the sensor nodes are mobile. The sensor nodes have limited computation capability, limited energy and small memory size. In this paper, an Enhanced Energy Efficient Clustering Algorithm for Mobile Wireless Sensor Networks (EEECA) is designed to select the Cluster Head (CH) thereby minimizing the energy consumption. The simulation results of the proposed algorithm is compared with a recent clustering algorithm, EECA - M2. The result shows that the proposed algorithm EEECA performs better than the existing algorithm.