DocumentCode :
3461790
Title :
A Local-centralized Adaptive Clustering Algorithm for Wireless Sensor Networks
Author :
Chen, Weike ; Li, Wenfeng ; Ming, Xinzhu
Author_Institution :
Hunan Metallurgical Professional Tech. College, Changsha
fYear :
2006
fDate :
20-23 Aug. 2006
Firstpage :
478
Lastpage :
483
Abstract :
Existing hierarchical routing algorithms for wireless sensor networks (WSNs) mainly focus on distributing energy load among all nodes. They pay little attention to quality of services (QoS) support in WSNs. In this paper, we developed an algorithm, local-centralized adaptive clustering algorithm (LAC), which concerns not only energy consumption but also the reliability and the steadiness of the wireless sensor networks. LAC proposes a local-centralized mechanism to elect cluster-heads which makes election of cluster-head more reasonable, and provides a twice cluster-formation model which impose the feature of load balance on wireless sensor networks by distributing evenly the communication load and the load of data fusion among cluster-heads. LAC also suggests a parameter to measure the probability of network congestion in hierarchical applications of WSNs
Keywords :
pattern clustering; probability; quality of service; resource allocation; sensor fusion; telecommunication network reliability; telecommunication network routing; wireless sensor networks; QoS; cluster-formation model; cluster-heads; data fusion; energy consumption; energy load distribution; hierarchical routing algorithms; load balance; local-centralized adaptive clustering algorithm; network congestion; probability; quality of services; wireless sensor networks; Base stations; Clustering algorithms; Energy consumption; Energy efficiency; Los Angeles Council; Monitoring; Nominations and elections; Robustness; Routing protocols; Wireless sensor networks; Data fusion; Hierarchical model; QoS support; Routing algorithm; Wireless sensor networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Acquisition, 2006 IEEE International Conference on
Conference_Location :
Weihai
Print_ISBN :
1-4244-0528-9
Electronic_ISBN :
1-4244-0529-7
Type :
conf
DOI :
10.1109/ICIA.2006.305761
Filename :
4097983
Link To Document :
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