TY - GEN
T1 - W-LLC
T2 - 2nd International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2005
AU - Kim, Joongheon
AU - Lee, Wonjun
AU - Kim, Eunkyo
AU - Lee, Choonhwa
PY - 2006
Y1 - 2006
N2 - This paper addresses a weighted dynamic localized clustering unique to a hierarchical sensor network structure, while reducing the energy consumption of cluster heads and as a result prolonging the network lifetime. Low-Energy Localized Clustering, our previous work, dynamically regulates the radii of clusters to minimize energy consumption of cluster heads while the network field is being covered. We present weighted Low-Energy Localized Clustering (w-LLC), which consumes less energy than LLC with weight functions.
AB - This paper addresses a weighted dynamic localized clustering unique to a hierarchical sensor network structure, while reducing the energy consumption of cluster heads and as a result prolonging the network lifetime. Low-Energy Localized Clustering, our previous work, dynamically regulates the radii of clusters to minimize energy consumption of cluster heads while the network field is being covered. We present weighted Low-Energy Localized Clustering (w-LLC), which consumes less energy than LLC with weight functions.
UR - http://www.scopus.com/inward/record.url?scp=33749022765&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=33749022765&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:33749022765
SN - 9783540283317
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 1162
EP - 1165
BT - Fuzzy Systems and Knowledge Discovery - Second International Conference, FSKD 2005, Proceedings
PB - Springer Verlag
Y2 - 27 August 2005 through 29 August 2005
ER -
