DocumentCode :
2513775
Title :
Energy Efficient Clustering Algorithm with Multi-hop Transmission
Author :
Shemshaki, Mona ; Shahhoseini, Shahriar
Author_Institution :
Dept. of Electr. Eng., Iran Univ. of Sci. & Technol., Tehran, Iran
fYear :
2009
fDate :
25-27 Sept. 2009
Firstpage :
459
Lastpage :
462
Abstract :
The wireless sensor network is an autonomous collection of sensors which makes a simple, high speed and inexpensive network. These kinds of network are able to monitor a parameter where the coverage is impossible via wired networks. Since, the sensors in wireless networks are equipped with batteries, these networks are energy constrained and clustering approaches play an important role in energy efficiency and prolonging network´s lifetime. In this paper, an energy efficient algorithm is presented for wireless sensor networks. EECMT (Energy Efficient Clustering with Multi-hop Transmission) employs the wireless sensor network´s characteristics. In addition to energy consumption, load balancing and network´s scalability have been taken into account. Simulation results illustrate that network´s lifetime has been optimized to 86% in clustered sensor networks.
Keywords :
telecommunication network reliability; wireless sensor networks; clustered sensor network; energy efficient clustering algorithm; load balancing; multihop transmission; network lifetime; wireless sensor network; Batteries; Clustering algorithms; Condition monitoring; Energy consumption; Energy efficiency; Load management; Scalability; Sensor phenomena and characterization; Spread spectrum communication; Wireless sensor networks; clustering; energy efficiency; multi-hop transmission; network lifetime; sensor networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Scalable Computing and Communications; Eighth International Conference on Embedded Computing, 2009. SCALCOM-EMBEDDEDCOM'09. International Conference on
Conference_Location :
Dalian
Print_ISBN :
978-0-7695-3825-9
Type :
conf
DOI :
10.1109/EmbeddedCom-ScalCom.2009.88
Filename :
5341751
Link To Document :
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