Title :
Energy-Driven Clustering Algorithm for Wireless Sensor Networks
Author_Institution :
Shandong Comput. Sci. Center, Jinan, China
Abstract :
Clustering has been one of the effective solutions to enhance energy efficiency and scalability of large-scale wireless sensor networks. In this paper, we propose and implement Energy-driven clustering algorithm (EDCA) for wireless sensor networks based on LEACH, which introduces the remain energy of each nodes, and we used discrete event simulation tools OMNeT++ to implement our algorithm and WSNs model. Simulation results have shown that the improved algorithm has higher energy efficiency and longer survival time.
Keywords :
discrete event simulation; energy conservation; pattern clustering; wireless sensor networks; LEACH; OMNeT++; discrete event simulation; energy efficiency; energy-driven clustering algorithm; large-scale wireless sensor networks; Algorithm design and analysis; Clustering algorithms; Energy efficiency; Heuristic algorithms; Protocols; Simulation; Wireless sensor networks; Clustering; Energy; Wireless Sensor Networks;
Conference_Titel :
Knowledge Acquisition and Modeling (KAM), 2011 Fourth International Symposium on
Conference_Location :
Sanya
Print_ISBN :
978-1-4577-1788-8
DOI :
10.1109/KAM.2011.23
