GMCA: a greedy multilevel clustering algorithm for data gathering in wireless sensor networks
International Journal of Communication Networks and Distributed Systems
Hi-index | 0.00 |
For wireless sensor network (WSN), in order to solve the problem which the ETBG have too many cluster heads and these cluster heads distribute too concentrated, a hierarchical clustering algorithm based on energy and distance balancing is proposed. The algorithm chose the cluster heads in the same gradient grade. It is proved by theoretical analysis and computer simulation that this method can make the number of cluster heads more reasonable and prolong the network lifecycle.