TY - GEN
T1 - Energy efficient cluster header selection algorithm in WSN
AU - Sim, Inbo
AU - Choi, Koung Jin
AU - Kwon, Koung Jin
AU - Lee, Jaiyong
PY - 2009
Y1 - 2009
N2 - In wireless sensor networks, clustering, a method of grouping sensor nodes, has numerous advantages. It can support network scalability, reduce the size of the routing table stored at the individual node and prolong the battery life of the individual sensors and the network lifetime, etc. In this paper, to extend network lifetime and minimize additional overheads in energy limited sensor networks, we propose CH selection algorithm which selects CH by utilizing only its information. Also, we evaluate the performance of this scheme by using simulation, and show that this proposed scheme considerably improves network lifetime in WSN.
AB - In wireless sensor networks, clustering, a method of grouping sensor nodes, has numerous advantages. It can support network scalability, reduce the size of the routing table stored at the individual node and prolong the battery life of the individual sensors and the network lifetime, etc. In this paper, to extend network lifetime and minimize additional overheads in energy limited sensor networks, we propose CH selection algorithm which selects CH by utilizing only its information. Also, we evaluate the performance of this scheme by using simulation, and show that this proposed scheme considerably improves network lifetime in WSN.
UR - http://www.scopus.com/inward/record.url?scp=70349743848&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=70349743848&partnerID=8YFLogxK
U2 - 10.1109/CISIS.2009.69
DO - 10.1109/CISIS.2009.69
M3 - Conference contribution
AN - SCOPUS:70349743848
SN - 9780769535753
T3 - Proceedings of the International Conference on Complex, Intelligent and Software Intensive Systems, CISIS 2009
SP - 584
EP - 587
BT - Proceedings of the International Conference on Complex, Intelligent and Software Intensive Systems, CISIS 2009
T2 - International Conference on Complex, Intelligent and Software Intensive Systems, CISIS 2009
Y2 - 16 March 2009 through 19 March 2009
ER -