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General Information
    • ISSN: 1793-8244 (Print)
    • Abbreviated Title:  J. Adv. Comput. Netw.
    • Frequency: Semiyearly
    • DOI: 10.18178/JACN
    • Editor-in-Chief: Professor Haklin Kimm
    • Executive Editor: Ms. Cherry Chan
    • Abstracting/ Indexing: EBSCO, ProQuest, and Google Scholar.
    • E-mail: jacn@ejournal.net
    • APC: 500USD
Professor Haklin Kimm
East Stroudsburg University, USA
I'm happy to take on the position of editor in chief of JACN. We encourage authors to submit papers on all aspects of computer networks.

JACN 2017 Vol.5(2): 76-79 ISSN: 1793-8244
DOI: 10.18178/JACN.2017.5.2.244

Clustering WSN for Coal Mine Using Software Defined Network

Shi Yanfeng, Hu Shengbo, Shu Heng, Mo Jinrong, and Yan Tingting

Abstract—The clustering WSN is very important to coal mine safety. The recent development of information and communication technologies makes it practical to realize a new WSN using SDN (Software Defined Network). So, this paper is concerned with designing the clustering WSN for coal mine using SDN. First, the SDN architecture is described. Then the clustering WSN of laneway for coal mine is presented. By introducing the concept of domain, the architecture of clustering WSN using SDN is proposed via adding gateway nodes. It is emphasized that the controller not only manages the traffic and routing in the domain, but also manages the security of the domain. Finally, a communication reliability mechanism of intra-cluster and inter-cluster is presented. Hence, it is helpful to design and optimize the clustering WSN for coal mine using SDN.

Index Terms—Cola mine, clustering WSN, SDN, data plane, control plane.

Authors are with Institute of Intelligent Information Processing, Guizhou Normal University, China (e-mail: yf.shi@ outlook.com, hsb@ nssc.ac.cn, 656163119@ qq.con, 935473993@ qq.com, 1592624854@ qq.com ).


Cite:Shi Yanfeng, Hu Shengbo, Shu Heng, Mo Jinrong, and Yan Tingting, "Clustering WSN for Coal Mine Using Software Defined Network," Journal of Advances in Computer Networks vol. 5, no. 2, pp. 76-79, 2017.

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