DocumentCode :
1853034
Title :
The novel threshold based hierarchical clustering method for Wireless Sensor Networks
Author :
Babaie, Shahram ; Agaalizadeh, Saeid ; Golsorkhtabar, Mehdi
Author_Institution :
Olom VA Tahghighat Branch, Islamic Azad Univ., Tehran, Iran
Volume :
2
fYear :
2010
fDate :
1-3 Aug. 2010
Abstract :
In designing of the routing protocols for Wireless Sensor Networks, clustering is one of the methods used to manage network energy consumption efficiently. LEACH is one of the most famous clustering mechanisms. It elects a cluster head based on probability model. In LEACH, within each 1/p rounds, once a node has been selected as a cluster-head (CH), its threshold will be set to 0, and thus it will lose the chance to participate cluster-head selection, even if it still has enough energy. In this paper, we present a novel cluster-head selection algorithm. Instead of changing the threshold to 0 directly, the proposed algorithm adjusts the threshold of each node gradually according to the number of live and dead nodes in each round, so more nodes could have the opportunity to be CHs. Simulation results demonstrate that the proposed algorithm has higher efficiency and can achieve better network lifetime and energy consumption.
Keywords :
pattern clustering; probability; routing protocols; telecommunication network management; wireless sensor networks; LEACH; cluster-head selection algorithm; network energy consumption management; probability model; routing protocols; threshold based hierarchical clustering method; wireless sensor networks; Algorithm design and analysis; Clustering algorithms; Energy consumption; Intelligent sensors; Protocols; Wireless sensor networks; LEACH; clustering algorithm; wireless sensor networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electronics and Information Engineering (ICEIE), 2010 International Conference On
Conference_Location :
Kyoto
Print_ISBN :
978-1-4244-7679-4
Electronic_ISBN :
978-1-4244-7681-7
Type :
conf
DOI :
10.1109/ICEIE.2010.5559763
Filename :
5559763
Link To Document :
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