DocumentCode :
2188062
Title :
An Energy Efficient Weight-Clustering Algorithm in Wireless Sensor Networks
Author :
Cheng, Lu ; Qian, Depei ; Wu, Weiguo
Author_Institution :
Sch. of Electron. & Inf. Eng., Xi´´an Jiaotong Univ., Xi´´an, China
fYear :
2008
fDate :
27-28 Dec. 2008
Firstpage :
30
Lastpage :
35
Abstract :
In recent years, the wireless sensor networks (WSN) attracts increasing attention due to its bright application prospect in both military and civil fields. However, for the WSN is extremely energy limited, the traditional network routing protocols are not suitable to it. Energy conservation becomes a crucial problem in WSN routing protocol. Cluster-based routing protocols such as LEACH conserve energy by forming clusters which only cluster heads need to consume extra energy to perform data aggregation and transmit it to base station. Unfortunately, cluster formation not only dissipates lots of energy but also increases overhead. We propose an energy-efficient, weighted clustering algorithm which improves the cluster formation process of LEACH by taking residual energy, mutual position, workload balance and MAC functioning in to consideration. The algorithm is flexible and coefficients can be adjusted according to different networks. The simulation experiments demonstrate the proposed algorithm in this paper is better in performance than LEACH.
Keywords :
energy conservation; routing protocols; wireless sensor networks; LEACH conserve energy; cluster formation; data aggregation; energy conservation; energy efficient weight-clustering; network routing protocols; wireless sensor networks; Base stations; Clustering algorithms; Computer science; Energy consumption; Energy efficiency; Mobile ad hoc networks; Power engineering and energy; Routing protocols; Sensor phenomena and characterization; Wireless sensor networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Frontier of Computer Science and Technology, 2008. FCST '08. Japan-China Joint Workshop on
Conference_Location :
Nagasahi
Print_ISBN :
978-1-4244-3418-3
Type :
conf
DOI :
10.1109/FCST.2008.24
Filename :
4736506
Link To Document :
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