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Volume 54 Issue 4
Jul.  2019
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Journal of Southwest Jiaotong University  > 2019  >  54(4): 870-878.
WANG Qiqing, LI Wenping, PEI Yabing, LÜ Chengcheng. Experimental Study on Permeability of Mining-Cracked N2 Laterite[J]. Journal of Southwest Jiaotong University, 2019, 54(1): 91-96. doi: 10.3969/j.issn.0258-2724.20160611
Citation: YU Xiuwu, ZHOU Lixing, YU Qihao, HU Mufang, ZHANG Feng. Localization Algorithm for Mine Wireless Sensor Network Based on Rigid Cluster and Chicken Swarm Optimization[J]. Journal of Southwest Jiaotong University, 2019, 54(4): 870-878. doi: 10.3969/j.issn.0258-2724.20180069
shu

Localization Algorithm for Mine Wireless Sensor Network Based on Rigid Cluster and Chicken Swarm Optimization

doi: 10.3969/j.issn.0258-2724.20180069
  • Received Date: 23 Jan 2018
  • Rev Recd Date: 10 Aug 2018
    • Available Online: 05 Sep 2018
  • Publish Date: 01 Aug 2019
    Abstract
  • In order to adapt to the restrain resulting in environment factor of mine to localization of wireless sensor network, a novel localization algorithm based on rigid cluster and chicken swarm optimization (RCCSO) is proposed. First, the clusters are set up centring on the uniformly distributed anchor nodes, expand the clusters based on rigid theory and get several clusters which are all globally rigid. Second of it, optimize the best relative position of the nodes in the same cluster by chicken swarm optimization, and get the solution sets of relative position. Then, centring on the anchor nodes, all the solution ratate for some different angle, and optimal the best solution set of ratation angles by chicken swarm optimization, and get the globally position of all the unknown nodes. Finally, Simulation comparison demonstrated that the accuracy of the new localization algorithm RCCSO is more precise than the MDS-MAP algorithm and DALSA algorithm.

     

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