Journal of Jilin University(Engineering and Technology Edition) ›› 2024, Vol. 54 ›› Issue (3): 771-784.doi: 10.13229/j.cnki.jdxbgxb.20220530

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3DDV⁃Hop node localization optimized based on multi⁃strategy improved sparrow search algorithm

Zhong-xing DUAN(),Rui-xing LIU,Chong LIU   

  1. College of Information and Control Engineering,Xi′an University of Architecture and Technology,Xi′an 710055,China
  • Received:2022-05-06 Online:2024-03-01 Published:2024-04-18

Abstract:

To enhance the node localization accuracy and stability of the tradition three-dimensional DV-Hop (3DDV-Hop) algorithm in wireless sensor network (WSN), a 3DDV-Hop positioning optimization algorithm based on the improved multi strategy sparrow search algorithm (MISSA-3DDV-Hop) was proposed. Firstly, a communication radius classification method was used in the anchor nodes to refine the hop value of positioning nodes, which improves the accuracy of the calculation of the minimum hop number. Then the weighted average of hop distance error and estimated distance error was applied to correct the average hop distance between nodes, so as to reduce the distance estimation error between anchor nodes and unknown nodes. Finally, the sparrow search algorithm was used to optimize the location of unknown nodes in 3DDV-Hop algorithm, and the good-point set and discoverer-follower adaptive adjustment strategy were introduced. By establishing the error fitness function and objective function, the distribution and diversity of the initial population, global convergence speed and local optimization ability of sparrow search algorithm were enhanced. The simulation results show that the improved algorithm effectively improves the positioning accuracy and convergence speed compared with the traditional 3DDV-Hop, IPSO-3DDV-Hop and IGA-3DDV-Hop algorithms.

Key words: communication technology, wireless sensor network, 3DDV-Hop, multi-strategy sparrow search algorithm, average hop distance, good point set

CLC Number: 

  • TP393

Fig.1

3D DV-Hop localization model"

Fig.2

Schematic diagram of network node structure"

Fig.3

3D multi-communication radius model"

Fig.4

Comparison of initialization results"

Table 1

Sparrow search algorithm parameter initialization"

参数数值
种群数量N100
迭代次数tmax200
安全阈值ST0.8
比例系数γ0.1
扰动偏离因子α0.1

Table 2

Initialize network parameters"

参数数值
网络区域大小V/m3100×100×100
通信半径R/m30
节点总数NA/个200
信标节点BA/个60
未知节点UNA/个140
初始跳数h0
循环次数loop500
节点能量充足
节点分布随机分布

Fig.5

Experimental environment scene construction"

Fig.6

Effect of communication radius positioning error"

Fig.7

Normalized positioning error of four algorithms in three scenarios"

Fig.8

Effect of node number positioning error"

Fig.9

Average normalized localization error of four algorithms in three scenarios"

Fig.10

Effect of the number of beacon nodes positioning error"

Fig.11

Average normalized localization error of four algorithms in three scenarios"

Fig.12

Multi-factor comparison of different scenarios"

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