Title :
Energy Modeling for the Cluster-Based Sensor Networks
Author :
Choi, Jin-Chul ; Lee, Chae-Woo
Author_Institution :
Ajou University, Korea
Abstract :
The performance of the clustering scheme is influenced by the cluster-head election method and the size or the number of clusters. Thus we should optimize these factors to maximize the energy efficiency of the clustering scheme. In this paper, we propose a new energy consumption model for the LEACH which is a well-known clustering protocol and determine the optimal number of clusters based on our model. Our model has accuracy over 80% compared with the simulation and is considerably superior to the existing model of the LEACH.
Keywords :
Chemical and biological sensors; Condition monitoring; Energy consumption; Energy efficiency; Intelligent sensors; Nominations and elections; Protocols; Remote monitoring; Weather forecasting; Wireless sensor networks;
Conference_Titel :
Computer and Information Technology, 2006. CIT '06. The Sixth IEEE International Conference on
Conference_Location :
Seoul
Print_ISBN :
0-7695-2687-X
DOI :
10.1109/CIT.2006.89