DocumentCode :
1649994
Title :
Clustering Routing Protocol Based on Fuzzy Inference for WSNs
Author :
Jin, Rencheng ; Wei, Ning ; Shi, Xiaopei ; Gao, Teng ; Zou, Junhua
Author_Institution :
Key Lab. of Micro-Syst. & Micro-Fabricating Technol, Dalian Univ. of Technol., Dalian, China
fYear :
2011
Firstpage :
1
Lastpage :
4
Abstract :
Consider that there is the limited energy of sensor nodes in wireless sensor network, an energy-adaptive cluster head election algorithm based on fuzzy inference system of Mamdani (CEFM) is proposed in this paper. The residual energy level of candidates, the position of candidates, the number of the neighbors and the rate of retransmission are synthetically considered together to optimize the process of cluster head in CEFM algorithm, so that the partition of cluster is more equal and reasonable. In addition, an inter-cluster multiple-hop routing is formed for communication between cluster and the base station, which can reduce the energy consumption of cluster heads. The simulation results demonstrate that the novel algorithm has better energy balance and provides longer network lifetime.
Keywords :
fuzzy reasoning; routing protocols; telecommunication computing; wireless sensor networks; CEFM; WSN; clustering routing protocol; energy consumption; energy-adaptive cluster head election algorithm; fuzzy inference system; intercluster multiple-hop routing; sensor nodes; Base stations; Clustering algorithms; Energy consumption; Inference algorithms; Routing protocols; Wireless sensor networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wireless Communications, Networking and Mobile Computing (WiCOM), 2011 7th International Conference on
Conference_Location :
Wuhan
ISSN :
2161-9646
Print_ISBN :
978-1-4244-6250-6
Type :
conf
DOI :
10.1109/wicom.2011.6040346
Filename :
6040346
Link To Document :
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