DocumentCode :
3347611
Title :
Towards Clustering Algorithms in Wireless Sensor Networks-A Survey
Author :
Jiang, Congfeng ; Yuan, Daomin ; Zhao, Yinghui
Author_Institution :
Grid & Service Comput. Lab., Hangzhou Dianzi Univ., Hangzhou
fYear :
2009
fDate :
5-8 April 2009
Firstpage :
1
Lastpage :
6
Abstract :
Wireless sensor networks (WSNs) are emerging as essential and popular ways of providing pervasive computing environments for various applications. In all these environments energy constraint is the most critical problem that must be considered. Clustering is introduced to WSNs because of its network scalability, energy-saving attributes and network topology stabilities. However, there also exist some disadvantages associated with individual clustering scheme, such as additional overheads during cluster-head (CH) selection, assignment and cluster construction process. In this paper, we discuss and compare several aspects and characteristics of some widely explored clustering algorithms in WSNs, e.g. clustering timings, attributes, metrics, advantages and disadvantages of corresponding clustering algorithms. This paper also presents a discussion on the future research topics and the challenges of clustering in WSNs.
Keywords :
energy conservation; routing protocols; telecommunication network topology; wireless sensor networks; cluster construction; cluster-head selection; clustering timings; energy saving; network scalability; network topology stability; pervasive computing; routing protocols; wireless sensor networks; Clustering algorithms; Large-scale systems; Peer to peer computing; Pervasive computing; Remote monitoring; Routing protocols; Scalability; Sensor phenomena and characterization; Stability; Wireless sensor networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wireless Communications and Networking Conference, 2009. WCNC 2009. IEEE
Conference_Location :
Budapest
ISSN :
1525-3511
Print_ISBN :
978-1-4244-2947-9
Electronic_ISBN :
1525-3511
Type :
conf
DOI :
10.1109/WCNC.2009.4917996
Filename :
4917996
Link To Document :
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