Work place: Islamic Azad University- Jolfa Branch, Iran
E-mail: amir.mollanejad@iauj.ac.ir
Website:
Research Interests: Applied computer science, Computer systems and computational processes, Computer Architecture and Organization, Computer Networks, Theoretical Computer Science
Biography
Amir Mollanejad, M.S. in Software Engineering, Islamic Azad University, Shabestar Branch, 2010 has experience on Wireless Sensor Network (WSN) and Artificial Intelligence. He is currently headquarters of Computer Science Studies in Islamic Azad University of Jolfa International Branch.
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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