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TME2R: Trust Management-Based Energy Efficient Routing Scheme in Fog-Assisted Industrial Wireless Sensor Network

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Abstract

Fog-assisted Industrial Wireless Sensor Network (F-IWSN) is a novel wireless sensor network (WSN) in the industry. It not only can more efficiently reduce information transmission latency, but also can more conducively achieve real-time control and rapid resource scheduling. However, similar to other distributed networks, it also faces enormous security challenges, especially from internal attacks. The differences from those traditional security schemes are that, one is the trade-off between security, transmission performance and energy consumption to meet the requirements of information convergence and control, the other constructs a multi-dimensional selective forwarding scheme to achieve the real time transmission. In this paper, we propose a Gaussian distribution-based comprehensive trust management system (GDTMS) for F-IWSN. Furthermore, in its trust decision, the analytic hierarchy process is introduced to achieve the trade-off between security, transmission performance and energy consumption. The proposed trade-off can effectively select the secure and robust relay node. Namely, Trust Management-based Energy Efficient Routing Scheme (TME2R). In addition, GDTMS is also applicable to defending against bad mouthing attacks. Simulation results show that, the comprehensive performance of GDTMS is better than other similar algorithms, it can effectively prevent the appearance of network holes, and balance the network load, promote the survivability of the network.

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Acknowledgment

Part of this work has been presented at IEEE 18th International Conference on Computer and Information Technology (CIT-2018), July 30 - Aug 03, 2018, Halifax, Canada, [41] This work is partially supported by the National Natural Science Foundation of China (61571004), the Shanghai Natural Science Foundation (No. 17ZR1429100), the Science and Technology Innovation Program of Shanghai (No. 115DZ1100400, No. 17511105903, No. 17DZ1200302), the Scientific Instrument Developing Project of the Chinese Academy of Sciences (No. YJKYYQ20170074) and Fujian Science and Technology Plan STS Program (2017T3009).

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Authors and Affiliations

  1. Key Laboratory of Wireless Sensor Network and Communication, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai, 200051, China

    Weidong Fang, Wuxiong Zhang & Yang Liu

  2. Shanghai Research Center for Wireless Communication, Shanghai, 201210, China

    Weidong Fang, Wuxiong Zhang & Yang Liu

  3. School of Computer Science and Technology, China University of Mining and Technology, Xuzhou, 221116, Jiangsu, China

    Wei Chen & Chaogang Tang

Authors
  1. Weidong Fang
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  2. Wuxiong Zhang
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  3. Wei Chen
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  4. Yang Liu
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  5. Chaogang Tang
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Corresponding author

Correspondence to Wei Chen .

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Editors and Affiliations

  1. Department of Electrical and Computer Engineering, The University of British Columbia, Vancouver, BC, Canada

    Victor C. M. Leung

  2. University of Science and Technology, Beijing, China

    Haijun Zhang

  3. Shenzhen University, Shenzhen, China

    Xiping Hu

  4. National University of Defense Technology, Changsha, China

    Qiang Liu

  5. Shizuoka University, Shizuoka, Japan

    Zhi Liu

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© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Fang, W., Zhang, W., Chen, W., Liu, Y., Tang, C. (2019). TME2R: Trust Management-Based Energy Efficient Routing Scheme in Fog-Assisted Industrial Wireless Sensor Network. In: Leung, V., Zhang, H., Hu, X., Liu, Q., Liu, Z. (eds) 5G for Future Wireless Networks. 5GWN 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 278. Springer, Cham. https://doi.org/10.1007/978-3-030-17513-9_11

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  • DOI: https://doi.org/10.1007/978-3-030-17513-9_11

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-17512-2

  • Online ISBN: 978-3-030-17513-9

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