Title :
Clustering Algorithm to Balance and to Reduce Power Consumptions for Homogeneous Sensor Networks
Author :
Wei, Dali ; Chan, H. Anthony
Author_Institution :
Dept. of Electr. Eng., Cape Town Univ., Cape Town
Abstract :
Directional data traffic and the total power consumption of a cluster are usually overlooked in traditional energy-efficient clustering algorithms for homogeneous sensor networks. This paper proposes to balance power consumption throughout the network and to reduce the total power consumption of the cluster. The clusters are organized in such a way that their lifetimes are equalized by making the total power consumption proportional to the energy stored. Furthermore, the clusterheads are maintained at the centre of the cluster without re-organizing the clusters to reduce the total power consumption of the cluster. Performance evaluation shows that the proposed clustering algorithm indeed improves energy efficiency for sensor networks.
Keywords :
telecommunication network topology; telecommunication traffic; wireless sensor networks; balance power consumption; directional data traffic; energy efficiency; energy-efficient clustering algorithms; homogeneous sensor networks; Africa; Cities and towns; Clustering algorithms; Electronic mail; Energy consumption; Energy efficiency; Fuses; Iterative algorithms; Relays; Telecommunication traffic;
Conference_Titel :
Wireless Communications, Networking and Mobile Computing, 2007. WiCom 2007. International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-1311-9
DOI :
10.1109/WICOM.2007.676