Work place: Department of computer science University of Tabriz
E-mail: IranL-khanli@tabrizu.ac.ir
Website:
Research Interests: Computing Platform, Mathematics of Computing
Biography
Leili Mohammad Khanli, received her B.S. (1995) from Shahid Beheshti University Tehran, Iran,M.S. (2000) from IUST (Iran University of Science and Technology) University and a Ph.D. degree (2007) from IUST (Iran University of Science and Technology) University. All are in computer engineering. She is currently associate professor in the Department of Electrical and Computer Engineering at University of Tabriz. Her research interests include cloud computing and Quality of Service management.
By Amir Mollanejad Amir Azimi Alasti Ahrabi Hadi Bahrbegi Leyli Mohammad Khanli
DOI: https://doi.org/10.5815/ijcnis.2014.12.04, Pub. Date: 8 Nov. 2014
This paper presents a novel energy aware centralized dynamic clustering routing framework for large-scale Wireless Sensor Network (WSN). The main advantage of the proposed method is pluggability of clustering algorithms in the framework. It uses some clustering algorithms that some of their usages are new in this field. The clustering algorithms are K-means, FCM, UPC, GA, IGA and FGKA that run at base station used to identify cluster of sensors. Six clustering algorithms are evaluated in the framework and results of them are compared in three models named unicast, multicast and broadcast.
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