TY - GEN
T1 - Hierarchical node clustering approach for energy savings in WSNs
AU - Cha, Siho
AU - Lee, Jong Eon
AU - Kim, Dae Young
AU - Kang, Seokjoong
AU - Cho, Kuk Hyun
AU - Jo, Minho
AU - Lee, Nobok
AU - Kim, Younghyun
N1 - Copyright:
Copyright 2008 Elsevier B.V., All rights reserved.
PY - 2007
Y1 - 2007
N2 - This paper proposes an energy efficient clustering algorithm for self-organizing and self-managing WSNs, called SNOWCLUSTER. It introduces region node selection as well as cluster head election based on the residual battery capacity of nodes to reduce the costs of managing sensor nodes and of the communication among them. SNOWCLUSTER clusters periodically to select cluster heads that are richer in residual energy level, compared to the other nodes to achieve load balancing and extend the lifetime of every individual sensor nodes. After the cluster heads are selected, SNOWCLUSTER selects the region nodes in the cluster heads based on the energy level of them and chooses gateway nodes between clusters based on their location information. The effectiveness of the proposed SNOWCLUSTER algorithm is validated through actual implementation and simulation using ns-2. The simulation results reveal that the proposed framework allows smaller energy consumption for network management and longer network lifetime than the existing schemes such as LEACH and LEACH-C for practical size networks.
AB - This paper proposes an energy efficient clustering algorithm for self-organizing and self-managing WSNs, called SNOWCLUSTER. It introduces region node selection as well as cluster head election based on the residual battery capacity of nodes to reduce the costs of managing sensor nodes and of the communication among them. SNOWCLUSTER clusters periodically to select cluster heads that are richer in residual energy level, compared to the other nodes to achieve load balancing and extend the lifetime of every individual sensor nodes. After the cluster heads are selected, SNOWCLUSTER selects the region nodes in the cluster heads based on the energy level of them and chooses gateway nodes between clusters based on their location information. The effectiveness of the proposed SNOWCLUSTER algorithm is validated through actual implementation and simulation using ns-2. The simulation results reveal that the proposed framework allows smaller energy consumption for network management and longer network lifetime than the existing schemes such as LEACH and LEACH-C for practical size networks.
UR - http://www.scopus.com/inward/record.url?scp=38649123996&partnerID=8YFLogxK
U2 - 10.1109/SERA.2007.89
DO - 10.1109/SERA.2007.89
M3 - Conference contribution
AN - SCOPUS:38649123996
SN - 0769528678
SN - 9780769528670
T3 - Proceedings - SERA 2007: Fifth ACIS International Conference on Software Engineering Research, Management, and Applications
SP - 253
EP - 259
BT - Proceedings - SERA 2007
T2 - SERA 2007: Fifth ACIS International Conference on Software Engineering Research, Management, and Applications
Y2 - 20 August 2007 through 22 August 2007
ER -