DocumentCode
2473842
Title
A new strategy for WSN routing convergence
Author
Chen, Fei ; Ma, Li-xiang ; Wang, Qing
Author_Institution
Sch. of Commun. & Inf. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
fYear
2010
fDate
17-19 Dec. 2010
Firstpage
138
Lastpage
141
Abstract
In recent years, many clustering algorithms have been proposed to solve the problem of routing. However, many of these algorithms have the problem of uneven load of cluster heads. In this paper, we present an algorithm - the maximum balance cluster head energy consumes of routing (MCR) - to solve the above problem. In our proposed MCR algorithm, when ordinary nodes receive broadcast information from different cluster heads, the one that been selected is judged by the distance, as well as the giving comprehensive consideration of the distance and energy consumption of cluster head. Proper measures are also needed to increase the working time of cluster head as much as possible. Moreover, when the selected cluster head rotated, the remaining energy of the nodes is the major consideration. Simulation results show that our MCR algorithm can reduce the energy consumption and extend the network lifetime as well.
Keywords
energy consumption; pattern clustering; telecommunication network routing; wireless sensor networks; clustering algorithm; energy consumption; maximum balance cluster head energy consumes of routing; network lifetime; wireless sensor network routing convergence; Algorithm design and analysis; Base stations; Clustering algorithms; Energy consumption; Protocols; Routing; Wireless sensor networks; Wireless sensor network; clustering algorithm; energy balance;
fLanguage
English
Publisher
ieee
Conference_Titel
Apperceiving Computing and Intelligence Analysis (ICACIA), 2010 International Conference on
Conference_Location
Chengdu
Print_ISBN
978-1-4244-8025-8
Type
conf
DOI
10.1109/ICACIA.2010.5709869
Filename
5709869
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