DocumentCode :
2869775
Title :
A QoS-based Adaptive Clustering Algorithm for Wireless Sensor Networks
Author :
Chen, Weike ; Li, Wenfeng ; Shou, Heng ; Yuan, Bing
Author_Institution :
Sch. of Logistics Eng., Wuhan Univ. of Technol.
fYear :
2006
fDate :
25-28 June 2006
Firstpage :
1947
Lastpage :
1952
Abstract :
Existing hierarchical routing algorithms for wireless sensor networks mainly focus on distributing energy load among all the nodes. They pay little attention to quality of services (QoS) support in wireless sensor networks. In this paper, we developed a algorithm, QAC (QoS-based adaptive clustering algorithm), which not only concerns energy consumption but also can improve the reliability and the steadiness of wireless sensor networks by establishing a dual cluster-head model. QAC proposes a local-centralized mechanism for electing cluster-head and suggests a parameter to measure the QoS support in hierarchical applications of WSNs. Our model can increase the reliability and the steadiness of wireless sensor network by distributing evenly the communication load and the load of data fusion among cluster-heads. The dual cluster-head model can also improve the survival ability of wireless sensor networks and makes the network fitting in with the fierce changes of environment
Keywords :
quality of service; telecommunication network reliability; telecommunication network routing; wireless sensor networks; QoS; adaptive clustering algorithm; dual cluster-head model; hierarchical routing algorithms; quality of services; wireless sensor networks; Base stations; Clustering algorithms; Educational institutions; Energy consumption; Mechatronics; Monitoring; Routing; Scalability; Wireless communication; Wireless sensor networks; Data fusion; Hierarchical model; QoS support; Routing algorithm; Wireless sensor networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Mechatronics and Automation, Proceedings of the 2006 IEEE International Conference on
Conference_Location :
Luoyang, Henan
Print_ISBN :
1-4244-0465-7
Electronic_ISBN :
1-4244-0466-5
Type :
conf
DOI :
10.1109/ICMA.2006.257552
Filename :
4026393
Link To Document :
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