Computer Science ›› 2019, Vol. 46 ›› Issue (11): 65-71.doi: 10.11896/jsjkx.181001855

• Network & Communication • Previous Articles     Next Articles

3D Node Localization Algorithm Based on Iterative Computation for Wireless Sensor Network

JIANG Rui, WU Qian, XU You-yun   

  1. (Telecommunication and Networks National Engineering,Nanjing University of Posts and Telecommunications,Nanjing 210003,China)
    (Broadband Wireless Communication and Sensor Network Technology Key Lab of Ministry of Education,Nanjing University of Posts and Telecommunications,Nanjing 210003,China)
  • Received:2018-10-08 Online:2019-11-15 Published:2019-11-14

Abstract: The existing three-dimension localization algorithm for wireless sensor networks (WSN) is mostly based on the principle of two-dimension localization algorithm with mature and good performance.Compared with the two-dimensional localization algorithm,most of the three-dimension localization algorithms have better localization accuracy.Two-dimensional localization algorithm for wireless sensor networks based on centroid iteration estimation reduces the range of two-dimensional plane of unknown nodes and improves the positioning accuracy of nodes by iterating the centroid of the plane surrounded by connected anchor nodes.Based on the theory of the two-dimension centroid localization algorithm,this paper proposed a novel approach of three-dimensional node localization algorithm based on iterative computation.First,the centroid coordinates of the three-dimensional space enclosed by the current connected anchor nodes as well as the received signal strength (RSSI) between the unknown node and the centroid node are calculated.Then,the current connected anchor node with the weakest RSSI is replaced with the centroid node in order to reduce the three-dimensional space enclosed by the connected anchor nodes.The location accuracy can be improved through multi-itera-tions with an appropriate threshold.Simulation results are obtained with interactive data language (IDL) on a PC of 3.50GHz.Judging from the simulation results,there is an improvement of 3% to 6% in location accuracy compared with the two-dimension localization algorithm,and an improvement of 5% to 23% in location accuracy compared with the 3D centroid localization algorithm.What’s more,the proposed algorithm performs well for RSSI error disturbance and can reach more than 99% of localization coverage after multi-iterations.

Key words: 3D node self-localization, Centroid localization, Range-free, Wireless sensor networks

CLC Number: 

  • TP393
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