A journal of IEEE and CAA , publishes high-quality papers in English on original theoretical/experimental research and development in all areas of automation
Volume 5 Issue 1
Jan.  2018

IEEE/CAA Journal of Automatica Sinica

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    CiteScore: 11.2, Top 5% (Q1)
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Article Contents
Ying Duan, Wenfeng Li, Xiuwen Fu, Yun Luo and Lin Yang, "A Methodology for Reliability of WSN Based on Software Defined Network in Adaptive Industrial Environment," IEEE/CAA J. Autom. Sinica, vol. 5, no. 1, pp. 74-82, Jan. 2018. doi: 10.1109/JAS.2017.7510751
Citation: Ying Duan, Wenfeng Li, Xiuwen Fu, Yun Luo and Lin Yang, "A Methodology for Reliability of WSN Based on Software Defined Network in Adaptive Industrial Environment," IEEE/CAA J. Autom. Sinica, vol. 5, no. 1, pp. 74-82, Jan. 2018. doi: 10.1109/JAS.2017.7510751

A Methodology for Reliability of WSN Based on Software Defined Network in Adaptive Industrial Environment

doi: 10.1109/JAS.2017.7510751
Funds:

the National Natural Science Foundation of China 61571336

the Science and Technology Project of Henan Province in China 172102210081

the Independent Innovation Research Foundation of Wuhan University of Technology 2016-JL-036

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  • As communication technology and smart manufacturing have developed, the industrial internet of things (IIoT) has gained considerable attention from academia and industry. Wireless sensor networks (WSNs) have many advantages with broad applications in many areas including environmental monitoring, which makes it a very important part of IIoT. However, energy depletion and hardware malfunctions can lead to node failures in WSNs. The industrial environment can also impact the wireless channel transmission, leading to network reliability problems, even with tightly coupled control and data planes in traditional networks, which obviously also enhances network management cost and complexity. In this paper, we introduce a new software defined network (SDN), and modify this network to propose a framework called the improved software defined wireless sensor network (improved SD-WSN). This proposed framework can address the following issues. 1) For a large scale heterogeneous network, it solves the problem of network management and smooth merging of a WSN into IIoT. 2) The network coverage problem is solved which improves the network reliability. 3) The framework addresses node failure due to various problems, particularly related to energy consumption. Therefore, it is necessary to improve the reliability of wireless sensor networks, by developing certain schemes to reduce energy consumption and the delay time of network nodes under IIoT conditions. Experiments have shown that the improved approach significantly reduces the energy consumption of nodes and the delay time, thus improving the reliability of WSN.

     

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