DocumentCode :
3056782
Title :
Energy-Efficient Clustering with One Time Setup for Wireless Sensor Networks
Author :
Shin, Heewook ; Moh, Sangman ; Chung, Ilyong
Author_Institution :
Dept. of Comput. Eng., Chosun Univ., Gwangju, South Korea
fYear :
2012
fDate :
24-26 July 2012
Firstpage :
64
Lastpage :
69
Abstract :
A wireless sensor network (WSN) consists of a lot of inexpensive sensors that have a limited energy resource. Many applications including environment monitoring use a clustering approach for efficient energy consumption. LEACH (Low Energy Adaptive Clustering Hierarchy) is the most famous one of clustering protocols, which enables the balanced consumption of energy to prolong network lifetime. In LEACH, however, additional energy and time are consumed to reform clusters at the setup phase of every round. This side effect is worse as the number of clusters increases. This paper presents a novel energy-efficient clustering scheme to remove cluster reforming process required at every round after the first round, which is called COTS (Clustering with One Time Setup). The proposed COTS allows that the role of cluster head is rotated among members in a cluster without cluster reforming process. This significantly saves the energy because the cluster reforming process is not necessary, resulting in increased network lifetime. According to our simulation study, the network performance and lifetime are improved much better as the number of clusters is increased.
Keywords :
energy conservation; protocols; telecommunication network reliability; wireless sensor networks; COTS; LEACH; WSN; cluster reforming process; efficient energy consumption; energy-efficient clustering protocol; environment monitoring; inexpensive sensors; limited energy resource; low energy adaptive clustering hierarchy; one time setup; prolong network lifetime; wireless sensor networks; Energy consumption; Protocols; Schedules; Sensors; Steady-state; Time division multiple access; Wireless sensor networks; Wireless sensor network; cluster head; clustering; energy efficiency; network lifetime;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence, Communication Systems and Networks (CICSyN), 2012 Fourth International Conference on
Conference_Location :
Phuket
Print_ISBN :
978-1-4673-2640-7
Type :
conf
DOI :
10.1109/CICSyN.2012.22
Filename :
6274318
Link To Document :
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