Advances in Networks

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Research on 3D Wireless Sensor Networks ISC-EAR Routing Algorithm

Received: Oct. 16, 2020    Accepted: Oct. 30, 2020    Published: Nov. 16, 2020
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Abstract

In order to improve the performance of 3D wireless sensor networks, an Iterative Split Clustering Energy Angle Routing (ISC-EAR) Algorithm is proposed. The design idea is discussed theoretically, and the design idea is as follows: on the basis of the link bandwidth and other meeting user QoS requirements, all nodes within the node perception radius or communication radius are regarded as next hop candidates. Select the next hop node according to the total energy consumption of the node (including sending and receiving energy consumption), and try to ensure that the farthest transmission distance consumes the least energy. Select the current node, the destination node and the next hop node, the space vector with the current node as the vertex has the smallest angle, that is, the candidate node closest to the destination node as the next hop node. In order to verify the performance of the algorithm, use C/C++ for programming simulation. Through three different topological structures of mine topology, average topology and random topology, the performance evaluation is carried out using four indicators: the number of alive nodes, network lifetime, network energy consumption and average energy of node. Through simulation calculation, the ISC-EAR routing algorithm has good technical performance advantages compared with the benchmark routing algorithm IGreedy, which can increase the survival time of nodes, reduce network energy consumption, and prolong the survival time of the network. It has better advancement.

DOI 10.11648/j.net.20200802.11
Published in Advances in Networks ( Volume 8, Issue 2, December 2020 )
Page(s) 16-21
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

3D WSN, ISC-EAR, Routing Algorithm, Clustering, Energy Saving

References
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[3] Karthikeyan, A., V. P. Arunachalam, and S. Karthik. “Performing Data Assessment in Terms of Sensor Node Positioning over Three Dimensional Wireless Sensor Network”. Mobile networks & applications, 2019.24 (6): 1862-1871.
[4] Althunibat, Saud, Z. Altarawneh, and R. Mesleh. "Performance analysis of free space optical–based wireless sensor networks using corner cube retroreflectors." Transactions on Emerging Telecommunications Technologies 30.12 (2019).
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[7] Usman Mansoor, Habib M. Ammari, “Coverage and Connectivity in 3D Wireless Sensor Networks”, The Art of Wireless Sensor Networks, pp 273-324, Dec. 2013.
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[11] Khriji, Sabrine, et al. "Energy-Efficient Routing Algorithm Based on Localization and Clustering Techniques for Agricultural Applications." IEEE Aerospace and Electronic Systems Magazine 34.3 (2019): 56-66.
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[15] Jing Zhe Du, Kranakis E., “Nayak A, A hop count based greedy face greedy routing protocol on localized geometric spanners”, Mobile Ad-hoc and Sensor Networks, 2009, 9 (8): 231-236.
[16] R. Flury, R. Wattenhofer, “Randomized 3D Geographic Routing”, The 27th Conference on Computer Communications. IEEE, pp. 834-842, 2008.
[17] Zhixiao Wang, Deyun Zhang, Alfandi O. “Efficient Geographical 3D Routing for Wireless Sensor Network in Smart Space”. Internet Communications (BCFIC Riga), 2011 Baltic Congress on Future, 2011, 24 (8): 168-172.
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  • APA Style

    Zhanguo Li, Donghong Shan. (2020). Research on 3D Wireless Sensor Networks ISC-EAR Routing Algorithm. Advances in Networks, 8(2), 16-21. https://doi.org/10.11648/j.net.20200802.11

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    ACS Style

    Zhanguo Li; Donghong Shan. Research on 3D Wireless Sensor Networks ISC-EAR Routing Algorithm. Adv. Netw. 2020, 8(2), 16-21. doi: 10.11648/j.net.20200802.11

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    AMA Style

    Zhanguo Li, Donghong Shan. Research on 3D Wireless Sensor Networks ISC-EAR Routing Algorithm. Adv Netw. 2020;8(2):16-21. doi: 10.11648/j.net.20200802.11

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  • @article{10.11648/j.net.20200802.11,
      author = {Zhanguo Li and Donghong Shan},
      title = {Research on 3D Wireless Sensor Networks ISC-EAR Routing Algorithm},
      journal = {Advances in Networks},
      volume = {8},
      number = {2},
      pages = {16-21},
      doi = {10.11648/j.net.20200802.11},
      url = {https://doi.org/10.11648/j.net.20200802.11},
      eprint = {https://download.sciencepg.com/pdf/10.11648.j.net.20200802.11},
      abstract = {In order to improve the performance of 3D wireless sensor networks, an Iterative Split Clustering Energy Angle Routing (ISC-EAR) Algorithm is proposed. The design idea is discussed theoretically, and the design idea is as follows: on the basis of the link bandwidth and other meeting user QoS requirements, all nodes within the node perception radius or communication radius are regarded as next hop candidates. Select the next hop node according to the total energy consumption of the node (including sending and receiving energy consumption), and try to ensure that the farthest transmission distance consumes the least energy. Select the current node, the destination node and the next hop node, the space vector with the current node as the vertex has the smallest angle, that is, the candidate node closest to the destination node as the next hop node. In order to verify the performance of the algorithm, use C/C++ for programming simulation. Through three different topological structures of mine topology, average topology and random topology, the performance evaluation is carried out using four indicators: the number of alive nodes, network lifetime, network energy consumption and average energy of node. Through simulation calculation, the ISC-EAR routing algorithm has good technical performance advantages compared with the benchmark routing algorithm IGreedy, which can increase the survival time of nodes, reduce network energy consumption, and prolong the survival time of the network. It has better advancement.},
     year = {2020}
    }
    

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    AU  - Zhanguo Li
    AU  - Donghong Shan
    Y1  - 2020/11/16
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    T2  - Advances in Networks
    JF  - Advances in Networks
    JO  - Advances in Networks
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    PB  - Science Publishing Group
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    UR  - https://doi.org/10.11648/j.net.20200802.11
    AB  - In order to improve the performance of 3D wireless sensor networks, an Iterative Split Clustering Energy Angle Routing (ISC-EAR) Algorithm is proposed. The design idea is discussed theoretically, and the design idea is as follows: on the basis of the link bandwidth and other meeting user QoS requirements, all nodes within the node perception radius or communication radius are regarded as next hop candidates. Select the next hop node according to the total energy consumption of the node (including sending and receiving energy consumption), and try to ensure that the farthest transmission distance consumes the least energy. Select the current node, the destination node and the next hop node, the space vector with the current node as the vertex has the smallest angle, that is, the candidate node closest to the destination node as the next hop node. In order to verify the performance of the algorithm, use C/C++ for programming simulation. Through three different topological structures of mine topology, average topology and random topology, the performance evaluation is carried out using four indicators: the number of alive nodes, network lifetime, network energy consumption and average energy of node. Through simulation calculation, the ISC-EAR routing algorithm has good technical performance advantages compared with the benchmark routing algorithm IGreedy, which can increase the survival time of nodes, reduce network energy consumption, and prolong the survival time of the network. It has better advancement.
    VL  - 8
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Author Information
  • School of Computer, Pingdingshan University, Pingdingshan, China

  • School of Computer, Pingdingshan University, Pingdingshan, China

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