DocumentCode
2039687
Title
Lifetime Enhancement in WSNs using Balanced Sensor Allocation to Cluster Heads
Author
Moghaddam, Nadieh M. ; Zahmati, Amir Sepasi ; Abolhassani, Bahman
Author_Institution
Dept. of Electr. Eng., Iran Univ. of Sci. & Technol., Tehran, Iran
fYear
2007
fDate
24-27 Nov. 2007
Firstpage
101
Lastpage
104
Abstract
A wireless sensor network (WSN) consists of a large number of small sensors with limited energy. Prolonged network lifetime, scalability, and load balancing are important requirements for many WSN applications. Clustering sensor nodes is an effective technique for achieving these goals. In this work, we propose a new energy-efficient approach for clustering nodes in WSNs. Based on this approach, we propose a two phase algorithm; in its first phase, cluster heads are selected according to the Sebestyen algorithm. In the second phase, nodes are allocated to the cluster heads so balanced from number of membership view. Two criteria are considered in this allocation. The first criterion is the Euclidean distance between nodes and cluster heads, and the second one is the node degree. The simulation results demonstrate that our proposed algorithm enhances the WSN lifetime significantly in comparison to the weight-based clustering protocols and original Sebestyen algorithm.
Keywords
sensor fusion; wireless sensor networks; Euclidean distance; Sebestyen algorithm; WSN; balanced sensor allocation; cluster head; lifetime enhancement; sensor node clustering; two phase algorithm; wireless sensor network; Batteries; Chemical sensors; Clustering algorithms; Costs; Energy efficiency; Scalability; Sensor phenomena and characterization; Sensor systems; Signal processing algorithms; Wireless sensor networks; Clustering Methods; Energy efficiency; Network lifetime; Sebestyen algorithm; Wireless Sensor Networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing and Communications, 2007. ICSPC 2007. IEEE International Conference on
Conference_Location
Dubai
Print_ISBN
978-1-4244-1235-8
Electronic_ISBN
978-1-4244-1236-5
Type
conf
DOI
10.1109/ICSPC.2007.4728265
Filename
4728265
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