DocumentCode :
3198309
Title :
Research on Clustering Routing Algorithms in Wireless Sensor Networks
Author :
Bian, Qing ; Zhang, Yan ; Zhao, Yanjuan
Author_Institution :
Dept. of Media Technol. & Commun., Northeast Dianli Univ., Jilin, China
Volume :
2
fYear :
2010
fDate :
11-12 May 2010
Firstpage :
1110
Lastpage :
1113
Abstract :
Compared with the traditional wireless networks, wireless sensor networks have energy constraints, low-data-rate of high redundant and data flow of high-to-one, and so on. Energy effectiveness is the key performance indicators of wireless sensor networks. Based on the analysis of energy management strategy in the wireless sensor networks, the main factors affecting energy consumption are: perceptual data, data processing and radio communications, the radio communication is the main part of energy consumption. In the wireless sensor networks, the realization of energy-efficiency could be improved while in the different layers of communication protocol stack. However, as the basis of the limitations of the physical layer, the improvement is focus on design and implementation of network-layer protocol. The researchers agreed that the clustering of nodes in wireless sensor networks is an effective program of energy conservation. This article dedicated to research the clustering routing algorithm in wireless sensor networks.
Keywords :
pattern clustering; protocols; telecommunication network routing; wireless sensor networks; clustering routing algorithms; communication protocol stack; data flow; data processing; energy conservation; energy consumption; energy management strategy; energy-efficiency; network-layer protocol; radio communication; wireless sensor networks; Clustering algorithms; Data processing; Energy consumption; Energy efficiency; Energy management; Physical layer; Radio communication; Routing; Wireless application protocol; Wireless sensor networks; LEACH routing algorithm; Wireless Sensor Networks; clustering routing algorithm;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Computation Technology and Automation (ICICTA), 2010 International Conference on
Conference_Location :
Changsha
Print_ISBN :
978-1-4244-7279-6
Electronic_ISBN :
978-1-4244-7280-2
Type :
conf
DOI :
10.1109/ICICTA.2010.343
Filename :
5523018
Link To Document :
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