DocumentCode
3307028
Title
Energy Balancing Clustering Algorithm for Wireless Sensor Network
Author
Li, Lan-ying ; Jiang, Xiu-li ; Zhong, Sheng-hai ; Hu, Lei
Author_Institution
Dept. of Comput. Sci., Harbin Univ. of Sci. & Technol., Harbin
Volume
1
fYear
2009
fDate
25-26 April 2009
Firstpage
61
Lastpage
64
Abstract
At present, several algorithms have been proposed to extend the network lifetime for Wireless Sensor Network (WSN). However, these algorithms did not achieve the desired results in balancing the energy consumption among the nodes. To deal with this problem, an Energy Balancing Clustering Algorithm (EBCA) is proposed in this paper. The algorithm divides the whole WSN into balanced grids, where cluster heads are elected, so cluster heads can uniformly be distributed in the network. In EBCA, uneven clustering strategy is used to solve ldquohot zonerdquo problem. EBCA employs simple energy-efficient routing algorithm to establish the routing backbone network. At the same time, the dynamic change threshold of nodes energy is utilized for getting adequate energy nodes as cluster heads. The simulation results show that EBCA effectively balances the energy consumption among nodes and achieves an improvement on the network lifetime.
Keywords
pattern clustering; telecommunication network reliability; telecommunication network routing; wireless sensor networks; backbone network routing; balanced grid; dynamic change threshold; energy balancing clustering algorithm; energy consumption; energy-efficient routing algorithm; wireless sensor network lifetime; Aerospace industry; Base stations; Clustering algorithms; Computer science; Computer security; Energy consumption; Nominations and elections; Routing; Wireless communication; Wireless sensor networks; Wireless sensor network; clustering; energy efficient; routing algorithm;
fLanguage
English
Publisher
ieee
Conference_Titel
Networks Security, Wireless Communications and Trusted Computing, 2009. NSWCTC '09. International Conference on
Conference_Location
Wuhan, Hubei
Print_ISBN
978-1-4244-4223-2
Type
conf
DOI
10.1109/NSWCTC.2009.97
Filename
4908214
Link To Document