An Energy Efficient Clustering Method Based on ANTCLUST in Sensor Network
Bong-Hi Shin, Hye-Kyoung Jeon, Kyungyong Chung · Journal of Digital Convergence · 2012
Through sensor nodes it can obtain behavior, condition, location of objects. Generally speaking, sensor nodes are very limited because they have a battery power supply. Therefore, for collecting sensor data, efficient energy management is necessary in order to prolong the entire network survival. In this paper, we propose a method that increases energy efficiency to be self-configuring by distributed sensor nodes per cluster. The proposed method is based on the ANTCLUST. After measuring the similarity between two objects it is method that determine own cluster. It applies a colonial closure model of ant. The result of an experiment, it showed that the number of alive nodes increased 27% than existing clustering methods.