DocumentCode
622594
Title
An energy-efficient clustering algorithm for wireless sensor networks
Author
Yiping Yang ; Chuan Lai ; Lin Wang
Author_Institution
Dept. of Autom., Shanghai Jiao Tong Univ., Shanghai, China
fYear
2013
fDate
12-14 June 2013
Firstpage
1382
Lastpage
1386
Abstract
This paper presents an energy-efficient clustering algorithm, named EECA for short, which contains two steps: first, the node with the highest residual energy is selected as the anchor cluster-head, and the candidate cluster-heads are determined according to their residual energy as well as the distance from the anchor cluster-head; second, the candidate cluster-heads compete to be the cluster-heads via a delayed broadcast mechanism. Comparing with the well-known protocol LEACH, the two-step cluster-head selection mechanism balances the distribution of the cluster-heads. Simulations show that the proposed algorithm can prolong the network lifetime significantly.
Keywords
energy conservation; protocols; wireless sensor networks; EECA; LEACH; anchor cluster-head; candidate cluster-heads; delayed broadcast mechanism; energy-efficient clustering algorithm; network lifetime; two-step cluster-head selection mechanism; wireless sensor networks; Clustering algorithms; Data models; Energy consumption; Protocols; Sensors; Wireless communication; Wireless sensor networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Automation (ICCA), 2013 10th IEEE International Conference on
Conference_Location
Hangzhou
ISSN
1948-3449
Print_ISBN
978-1-4673-4707-5
Type
conf
DOI
10.1109/ICCA.2013.6565034
Filename
6565034
Link To Document