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Research on "Hot Zone" in Coal Mine Based on Multihop Uneven Clustering Algorithm for Vitual MIMO

Received: 12 May 2021    Accepted: 25 May 2021    Published: 3 June 2021
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Abstract

In view of the special geographical environment of mine tunnel, this paper analyzes why improved Low Energy Adaptive Clustering Hierarchy (LEACH) protocols and virtual Multiple Input Multiple Output (MIMO) algorithms cause "hot zone" which shortens the life of Wireless Sensor Network (WSN) and forms the “blind area”. Based on this problem, this paper proposes a multihop non-uniform clustering algorithm named Virtual Multiple Input Multiple Output-Improved (VMIMO-I). The advantages of this algorithm are: (1) the competition radius of the cluster closer to the Sink node should be smaller, in order to the cluster head has enough energy to forward the information of other clusters. (2) There are several cooperative nodes in each cluster for multihop data transmission between clusters to save energy consumption of cluster heads; (3) There should be several clusters near the Sink node can directly transmit data to the Sink node, instead of sending all the data to the cluster head nearest to the Sink node. Then, this paper introduces the transmission process model based on this algorithm and analysis the energy consumption within and between clusters. With the simulation result on Matlab based on Minimum energy formula of VMIMO-I algorithm model, VMIMO-I algorithm is more applicable to be used in mine tunnel with lower energy consumption and more network lifetime than LEACH protocol.

Published in Software Engineering (Volume 9, Issue 1)
DOI 10.11648/j.se.20210901.11
Page(s) 1-8
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Coal Mine Roadway, Wireless Sensor Network (WSN), VMIMO-I, LEACH

References
[1] Liu, X., Yan, J., & Miao, J. (2009). Improvement on LEACH Agreement of Mine Wireless Sensor Network. Coal Science and Techno logy, 037.004: 46-49.
[2] Cui, L., Fanfei, X. U., Wang, Q., & Danyang, L. I.. (2019). Research on node deployment algorithm of wsn energy balance in coal mine. Chinese Journal of Sensors and Actuators.
[3] Reddy, K. C., Devanagavi, G. D., & Thippeswamy, M. N.. (2020). Earpc – energy aware routing protocol for cooperative mimo scheme in wsns. Journal of Telecommunications and Information Technology, 3, 22-27.
[4] Kumari, M., Kumar, S., & Asheer, S. (2021). Utilizing Cooperative-MIMO for an Event-Based Data Transmission in a Wireless Sensor Network.
[5] Krunz, M., Siam, M. Z., & Nguyen, D. N. (2013). Clustering and power management for virtual mimo communications in wireless sensor networks. Ad Hoc Networks, 11 (5), 1571-1587.
[6] Chen, W., Yong, Y., Xu, C., Liu, K., & Yang, Z. (2005). Virtual mimo protocol based on clustering for wireless sensor network. IEEE, 335-340.
[7] Dohler, M., Gkelias, A., & Aghvami, H. (2004). A resource allocation strategy for distributed mimo multi-hop communication systems. Communications Letters IEEE, 8 (2), 99-101.
[8] Soro, S., & Heinzelman, W. B. (2005). Prolonging the lifetime of wireless sensor networks via unequal clustering. 19th IEEE International Parallel and Distributed Processing Symposium. IEEE, 236-240.
[9] Cui S, Goldsmith A J, Bahai A. (2003). Energy-constrained modulation optimization for coded systems. IEEE Global Telecommunications Conference. IEEE, 4 (5): 2349-2360.
[10] Dohler, M., & Shaw, G. B. (2003). Virtual Antenna Arrays. (Doctoral dissertation, King's College London (University of London)).
[11] Pan, Z., Pei, X., & Xu, K. (2007). A Semi-centralized Approach for Optimized Multihop Virtual MIMO Wireless Sensor Networks. International Conference on Communications & Networking in China. IEEE, 877-881.
[12] Cui, S., & Goldsmith, A. (2006). Cross-layer design of energy-constrained networks using cooperative mimo techniques. Signal Processing, 86 (8), 1804-1814.
[13] Jayaweera, S. K. (2006). Virtual MIMO-based cooperative communication for energy-constrained wireless sensor networks. IEEE, 5 (5): 984-989.
[14] Mazo, J. E.. (2017). Digital communications. Proceedings of the IEEE, 73 (11), 1692-1693.
[15] Zheng, H., (2011). Study on the Theory of Radio Propagation and the Key Technologies of MIMO Channel Model in Mine Tunnel. (Doctoral dissertation, China University of mining and technology).
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  • APA Style

    Qing Wu. (2021). Research on "Hot Zone" in Coal Mine Based on Multihop Uneven Clustering Algorithm for Vitual MIMO. Software Engineering, 9(1), 1-8. https://doi.org/10.11648/j.se.20210901.11

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    ACS Style

    Qing Wu. Research on "Hot Zone" in Coal Mine Based on Multihop Uneven Clustering Algorithm for Vitual MIMO. Softw. Eng. 2021, 9(1), 1-8. doi: 10.11648/j.se.20210901.11

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    AMA Style

    Qing Wu. Research on "Hot Zone" in Coal Mine Based on Multihop Uneven Clustering Algorithm for Vitual MIMO. Softw Eng. 2021;9(1):1-8. doi: 10.11648/j.se.20210901.11

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  • @article{10.11648/j.se.20210901.11,
      author = {Qing Wu},
      title = {Research on "Hot Zone" in Coal Mine Based on Multihop Uneven Clustering Algorithm for Vitual MIMO},
      journal = {Software Engineering},
      volume = {9},
      number = {1},
      pages = {1-8},
      doi = {10.11648/j.se.20210901.11},
      url = {https://doi.org/10.11648/j.se.20210901.11},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.se.20210901.11},
      abstract = {In view of the special geographical environment of mine tunnel, this paper analyzes why improved Low Energy Adaptive Clustering Hierarchy (LEACH) protocols and virtual Multiple Input Multiple Output (MIMO) algorithms cause "hot zone" which shortens the life of Wireless Sensor Network (WSN) and forms the “blind area”. Based on this problem, this paper proposes a multihop non-uniform clustering algorithm named Virtual Multiple Input Multiple Output-Improved (VMIMO-I). The advantages of this algorithm are: (1) the competition radius of the cluster closer to the Sink node should be smaller, in order to the cluster head has enough energy to forward the information of other clusters. (2) There are several cooperative nodes in each cluster for multihop data transmission between clusters to save energy consumption of cluster heads; (3) There should be several clusters near the Sink node can directly transmit data to the Sink node, instead of sending all the data to the cluster head nearest to the Sink node. Then, this paper introduces the transmission process model based on this algorithm and analysis the energy consumption within and between clusters. With the simulation result on Matlab based on Minimum energy formula of VMIMO-I algorithm model, VMIMO-I algorithm is more applicable to be used in mine tunnel with lower energy consumption and more network lifetime than LEACH protocol.},
     year = {2021}
    }
    

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  • TY  - JOUR
    T1  - Research on "Hot Zone" in Coal Mine Based on Multihop Uneven Clustering Algorithm for Vitual MIMO
    AU  - Qing Wu
    Y1  - 2021/06/03
    PY  - 2021
    N1  - https://doi.org/10.11648/j.se.20210901.11
    DO  - 10.11648/j.se.20210901.11
    T2  - Software Engineering
    JF  - Software Engineering
    JO  - Software Engineering
    SP  - 1
    EP  - 8
    PB  - Science Publishing Group
    SN  - 2376-8037
    UR  - https://doi.org/10.11648/j.se.20210901.11
    AB  - In view of the special geographical environment of mine tunnel, this paper analyzes why improved Low Energy Adaptive Clustering Hierarchy (LEACH) protocols and virtual Multiple Input Multiple Output (MIMO) algorithms cause "hot zone" which shortens the life of Wireless Sensor Network (WSN) and forms the “blind area”. Based on this problem, this paper proposes a multihop non-uniform clustering algorithm named Virtual Multiple Input Multiple Output-Improved (VMIMO-I). The advantages of this algorithm are: (1) the competition radius of the cluster closer to the Sink node should be smaller, in order to the cluster head has enough energy to forward the information of other clusters. (2) There are several cooperative nodes in each cluster for multihop data transmission between clusters to save energy consumption of cluster heads; (3) There should be several clusters near the Sink node can directly transmit data to the Sink node, instead of sending all the data to the cluster head nearest to the Sink node. Then, this paper introduces the transmission process model based on this algorithm and analysis the energy consumption within and between clusters. With the simulation result on Matlab based on Minimum energy formula of VMIMO-I algorithm model, VMIMO-I algorithm is more applicable to be used in mine tunnel with lower energy consumption and more network lifetime than LEACH protocol.
    VL  - 9
    IS  - 1
    ER  - 

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Author Information
  • School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, China

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