DocumentCode :
1626528
Title :
Energy-Efficient Clustering Rumor Routing Protocol for Wireless Sensor Networks
Author :
Wang, Zhong-hua ; Chen, Kai ; Lin, Mei ; Yu, Min
Author_Institution :
Sch. of Software, Jiangxi Normal Univ., Nanchang, China
fYear :
2010
Firstpage :
200
Lastpage :
205
Abstract :
To develop an energy-efficient routing protocol becomes one of the most important and difficult key tasks for wireless sensor networks. Traditional Rumor Routing is effective in random path building but winding or even looped path is prone to be formed, leading to enormous energy wasting. Clustering Rumor Routing proposed in this paper has advantages in energy saving by making full use of three features-clustering structure, selective next-hop scheme and double variable energy thresholds for rotation of cluster-heads. Thus CRR can effectively avoid the problems that occur in RR and a more energy-efficient routing path from event agents to queries can be built. The performance between CRR and traditional RR are evaluated by simulations. The results indicate that compared with traditional RR, the CRR can save more energy consumption, provide better path quality, and improve the delivery rate as well.
Keywords :
pattern clustering; routing protocols; wireless sensor networks; CRR; cluster-head rotation; clustering structure; double variable energy thresholds; energy consumption; energy efficient clustering rumor routing protocol; energy saving; energy-efficient routing path; enormous energy wasting; path quality; random path building; selective next hop scheme; wireless sensor networks; Energy consumption; History; Mathematical model; Routing; Routing protocols; Wireless sensor networks; Clustering; Routing Protocol; Rumor Routing; Wireless Sensor Networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Ubiquitous Intelligence & Computing and 7th International Conference on Autonomic & Trusted Computing (UIC/ATC), 2010 7th International Conference on
Conference_Location :
Xian, Shaanxi
Print_ISBN :
978-1-4244-9043-1
Electronic_ISBN :
978-0-7695-4272-0
Type :
conf
DOI :
10.1109/UIC-ATC.2010.11
Filename :
5667201
Link To Document :
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