DocumentCode :
188282
Title :
Fan-Shaped Clustering for Large-Scale Sensor Networks
Author :
Hai Lin ; Ping Chen ; Lusheng Wang
Author_Institution :
Int. Sch. of Software, Wuhan Univ., Wuhan, China
fYear :
2014
fDate :
13-15 Oct. 2014
Firstpage :
361
Lastpage :
364
Abstract :
The main objective of large-scale Wireless Sensor Networks (WSNs) is to monitor physical phenomenon of interest in a given Region of Interest using sensors and provide collected data to the sink node. Designing of such WSNs should focus on minimizing nodes´ energy consuming so as to keep the network alive as long as possible. In this paper, we propose to partition this large-scale network (sensor field) into fan-shaped clusters. Then based on this clustering, we design mechanisms including cluster head (CH) selection, cluster re-partition, and routing, to achieve network lifetime maximization.
Keywords :
optimisation; telecommunication network routing; wireless sensor networks; cluster head selection; cluster re-partition; fan-shaped clustering; fan-shaped clusters; large-scale network; large-scale wireless sensor networks; network lifetime maximization; sensor field; sink node; Relays; Routing; Routing protocols; Temperature measurement; Temperature sensors; Wireless communication; Wireless sensor networks; clustering; large-scale; sensor network;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC), 2014 International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4799-6235-8
Type :
conf
DOI :
10.1109/CyberC.2014.69
Filename :
6984333
Link To Document :
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