An Energy Efficient Clustering Scheme with Self-Organized ID Assignment for Wireless Sensor Networks

Abstract

In wireless sensor networks, how to efficiently use the energy of the nodes while assigning global unique ID to each node is a challenging problem. By analyzing the communication cost of the clustering and topological features of a sensor network, we present a distributed scheme of Energy Efficient Clustering with Self-organized ID Assignment (EECSIA). In the context of EECSIA, a network first selects the nodes in the high-density areas as cluster heads, and then assigns an unique ID to each node based on local information. In addition, EECSIA periodically updates cluster heads according to the nodes' residual energy and density. The method is independent of time synchronization, and it does not rely on the nodes' geographic locations either. Simulation results show that the scheme performs well in terms of cluster scale, and number of nodes alive over rounds.