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Design of Low Power WSN Node in Wild Environment

Received: 11 April 2017     Published: 12 April 2017
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Abstract

This paper proposes a wireless sensor node design method with anti-jamming and low power consumption, to achieve in the field of data collection and data processing. The overall block diagram of the node and the hardware design and software flow design are given. The field environment acquisition system is used as the application scenario. The wireless sensor network node designed by this method can effectively realize the function of the system and ensure the low power consumption and stability of the network. Experiments show that, through hardware design and software design, such nodes are deployed in wireless sensor network (wsn) particularly low power consumption, interference, stability, etc. This method can solve the problem of satisfying the deployment of WSN in the field environment for longer periods of time. It is hoped that the design of this paper will provide some reference value and significance for the later wireless sensor network deployment.

Published in American Journal of Networks and Communications (Volume 6, Issue 2)
DOI 10.11648/j.ajnc.20170602.12
Page(s) 47-53
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), 2017. Published by Science Publishing Group

Keywords

Wireless Sensor Network(WSN), Node Design, Low Power Consumption

References
[1] Cui Xunxue, Zhao Zhan, WANG Cheng. Application and Design Technology of Wireless Sensor Network [M]. Beijing: National Defense Industry Press, 2009, 15-16.
[2] Yan Zhenya, Zheng Baoyu. Wireless sensor networks [J]. Computer Engineering and Applications, 2005, 41 (15): 20-23.
[3] Vrushabendra C, Sic lingam K, Znati T. Wireless sensor networks [N]. Springer, 2004.
[4] Mainwaring A, Pilaster J, Szczuka R, et al. Wireless sensor networks for habitat.
[5] ZigBee PRO Protocol Stack [EB/0L]. [2014].
[6] http://www. Jennica. com/products/protocol stacks/zigbee_pro.
[7] jennet user guide [EB/OL]. [2014].
[8] XIANG H, LEI B. Design of temperature/humidity control system of ammunition storehouse based on intellectual sensor SHT15 [J]. International Electronic Elements, 2006, 1: 019.
[9] Steer D. C, Baptlsta A, et al. Research challenges in environmental observation and forecasting system. Proc.6 ACM/IEEE MobiCOM [C]. NewYork, 2000, 8: 292-299.
[10] D. Culler, D. Estrin, M. Srivastave. Overview of Sensor Networks [J]. IEEE Com Puter, 2004: 41-49.
[11] Jiang Ting, Zhao Chongjin. Purple Bee Technology and Its Application [M]. Beijing: Beijing University of Posts and Telecommunications Press, 2006. 25-27.
[12] IEEE. IEEE Standard for 802.15.4 [EB]. http://www.zigbee.org, 2003.
Cite This Article
  • APA Style

    Lu Guoxiu. (2017). Design of Low Power WSN Node in Wild Environment. American Journal of Networks and Communications, 6(2), 47-53. https://doi.org/10.11648/j.ajnc.20170602.12

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    ACS Style

    Lu Guoxiu. Design of Low Power WSN Node in Wild Environment. Am. J. Netw. Commun. 2017, 6(2), 47-53. doi: 10.11648/j.ajnc.20170602.12

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    AMA Style

    Lu Guoxiu. Design of Low Power WSN Node in Wild Environment. Am J Netw Commun. 2017;6(2):47-53. doi: 10.11648/j.ajnc.20170602.12

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  • @article{10.11648/j.ajnc.20170602.12,
      author = {Lu Guoxiu},
      title = {Design of Low Power WSN Node in Wild Environment},
      journal = {American Journal of Networks and Communications},
      volume = {6},
      number = {2},
      pages = {47-53},
      doi = {10.11648/j.ajnc.20170602.12},
      url = {https://doi.org/10.11648/j.ajnc.20170602.12},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajnc.20170602.12},
      abstract = {This paper proposes a wireless sensor node design method with anti-jamming and low power consumption, to achieve in the field of data collection and data processing. The overall block diagram of the node and the hardware design and software flow design are given. The field environment acquisition system is used as the application scenario. The wireless sensor network node designed by this method can effectively realize the function of the system and ensure the low power consumption and stability of the network. Experiments show that, through hardware design and software design, such nodes are deployed in wireless sensor network (wsn) particularly low power consumption, interference, stability, etc. This method can solve the problem of satisfying the deployment of WSN in the field environment for longer periods of time. It is hoped that the design of this paper will provide some reference value and significance for the later wireless sensor network deployment.},
     year = {2017}
    }
    

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  • TY  - JOUR
    T1  - Design of Low Power WSN Node in Wild Environment
    AU  - Lu Guoxiu
    Y1  - 2017/04/12
    PY  - 2017
    N1  - https://doi.org/10.11648/j.ajnc.20170602.12
    DO  - 10.11648/j.ajnc.20170602.12
    T2  - American Journal of Networks and Communications
    JF  - American Journal of Networks and Communications
    JO  - American Journal of Networks and Communications
    SP  - 47
    EP  - 53
    PB  - Science Publishing Group
    SN  - 2326-8964
    UR  - https://doi.org/10.11648/j.ajnc.20170602.12
    AB  - This paper proposes a wireless sensor node design method with anti-jamming and low power consumption, to achieve in the field of data collection and data processing. The overall block diagram of the node and the hardware design and software flow design are given. The field environment acquisition system is used as the application scenario. The wireless sensor network node designed by this method can effectively realize the function of the system and ensure the low power consumption and stability of the network. Experiments show that, through hardware design and software design, such nodes are deployed in wireless sensor network (wsn) particularly low power consumption, interference, stability, etc. This method can solve the problem of satisfying the deployment of WSN in the field environment for longer periods of time. It is hoped that the design of this paper will provide some reference value and significance for the later wireless sensor network deployment.
    VL  - 6
    IS  - 2
    ER  - 

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Author Information
  • Department of Information Science, Beijing University of Technology, Beijing, China

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