Work place: Islamic Azad University, Jolfa Branch, Iran
E-mail: Hadi.bahrbegi@gmail.com
Website:
Research Interests: Artificial Intelligence, Distributed Computing
Biography
Hadi Bahrbegi, M.S. in Software Engineering, Islamic Azad University, Shabestar Branch, 2010 has experience in Artificial Intelligence and Computer Security; especially in Intrusion Detection Systems (IDS) field and published more than 12 journal and conference articles. He is currently studies Distributed Artificial Intelligence.
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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