Volume 8 Number 9 ( Sep. 2013)
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JSW 2013 Vol.8(9): 2321-2328 ISSN: 1796-217X
doi: 10.4304/jsw.8.9.2321-2328

Maximum Lifetime Routing Based on Fuzzy Set Theory in Wireless Sensor Networks

Jianhui Li, Guiping Liao, Fang Wang, Jinwei Li
Institute of Agricultural Information, Hunan Agricultural University, Changsha, China

Abstract—To solve the problem of energy saving in the design of wireless sensor networks, a new maximum lifetime routing algorithm was proposed based on uneven cluster, linear programing and fuzzy set theory (UCLF) in wireless sensor networks, which formulated the system maximum lifetime problem as a linear programming problem and selected cluster head based on fuzzy set theory, where the objectives is to output optimal clusters which closer to the sink node have fewer nodes than those farther away from the sink node and seek a balance point between energy consumption and routing efficiency to maximize the network lifetime. Compared with the classical energy efficient algorithm, such as CMAX, simulation results show that UCLF can effectively extend the network lifetime.

Index Terms—Wireless Sensor Networks; Uneven Clustering; Linear Programming; Fuzzy Set Theory.


Cite: Jianhui Li, Guiping Liao, Fang Wang, Jinwei Li, "Maximum Lifetime Routing Based on Fuzzy Set Theory in Wireless Sensor Networks," Journal of Software vol. 8, no. 9, pp. 2321-2328, 2013.

General Information

ISSN: 1796-217X (Online)
Frequency:  Bimonthly (Since 2020)
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, Google Scholar, ProQuest, INSPEC(IET), ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsw@iap.org
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