DocumentCode
1979161
Title
Energy-Efficient Routing Protocol Based on Clustering and Least Spanning Tree in Wireless Sensor Networks
Author
Zhang, Ming ; Lu, Yanhong ; Gong, Chenglong
Author_Institution
Huaihai Inst. of Technol., Lianyungang, China
Volume
6
fYear
2008
fDate
12-14 Dec. 2008
Firstpage
361
Lastpage
364
Abstract
A particular wireless sensor networks (WSNs), cluster-based WSN (CWSN) have received more and more attention due to the limited energy of battery-powered nodes, but rarely consider the shortest path at the same time. In this paper, we propose an novel energy-efficient routing protocol based on clustering and least spanning tree for wireless sensor network to prolong network lifetime and shorten path while emphasizing energy conservation at the same time. Clustering includes partitioning stage and choosing stage, namely, partitions the multi-hop network and then chooses cluster-heads, cluster-head is responsible for receiving, sending and maintaining information in its cluster. Then all cluster-heads will construct a least spanning tree to prolong network lifetime, save energy and shorten path. Simulation results show that the system¿s performance have further improved by using clustering and least spanning tree. It is a promising approach and deserves more future research.
Keywords
routing protocols; trees (mathematics); wireless sensor networks; cluster-based WSN; energy conservation; energy-efficient routing protocol; least spanning tree; wireless sensor networks; Energy conservation; Energy efficiency; Intelligent sensors; Paper technology; Power engineering and energy; Relays; Routing protocols; Sensor systems and applications; Spread spectrum communication; Wireless sensor networks; clustering; energy-efficient; least spanning tree; wireless sensor networks (WSNs);
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Software Engineering, 2008 International Conference on
Conference_Location
Wuhan, Hubei
Print_ISBN
978-0-7695-3336-0
Type
conf
DOI
10.1109/CSSE.2008.776
Filename
4723272
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