A mobile node localization algorithm based on an overlapping self-adjustment mechanism

2019 ◽  
Vol 481 ◽  
pp. 635-649 ◽  
Author(s):  
Kangshun Li ◽  
Hui Wang ◽  
Shanni Li
Keyword(s):  
Mobile Node ◽  
Localization Algorithm ◽  
Node Localization ◽  
Adjustment Mechanism

A Mobile Node Localization Algorithm Based on the Angle Self-Adjustment Model for Wireless Sensor Networks

2018 ◽  
Vol 33 (02) ◽  
pp. 1958004 ◽  
Author(s):  
Kangshun Li ◽  
Hui Wang ◽  
Fei Tang ◽  
Wei Li ◽  
Yunru Lu
Keyword(s):  
Prior Information ◽  
Gaussian Elimination ◽  
Mobile Node ◽  
Selection Mechanism ◽  
Localization Algorithm ◽  
Accuracy Control ◽  
Node Localization ◽  
Localization Accuracy ◽  
Moving Direction ◽  
Better Than

The goal of this study is to improve the accuracy of mobile node localization and to avoid the influence of moving direction-offsets introduced by the positioning system’s accuracy control. The proposed localization algorithm, which is based on an overlap self-adjustment method, and an anchor node selection mechanism which uses the Gaussian elimination method, is based on the error probability. The proposed algorithm has the advantages of requiring little prior information, and it reduces the power consumption. The simulation results show that the proposed algorithm is better than the self-adjustment localization (SAL) algorithm in terms of its localization accuracy.

A Study of Mobile Node Localization Algorithm Based on Ranging MCL for WSN

2012 ◽  
Vol 182-183 ◽  
pp. 2012-2018
Author(s):  
Wei Dong Tang ◽  
Bai Liu ◽  
Chao Qun Zhang ◽  
Jin Zhao Wu
Keyword(s):  
Wireless Sensor Network ◽  
Simulation Analysis ◽  
Mobile Node ◽  
Wireless Sensor ◽  
Motion Model ◽  
Localization Algorithm ◽  
Node Localization ◽  
Node Density ◽  
Positioning Accuracy ◽  
Key Technologies

Node localization is one of the key technologies in wireless sensor network. This paper proposed an improved RBDMCL algorithm based on traditional MCL algorithm, which can reduce the sampling areas and improve the positioning accuracy by building a node motion model. Then concludes by simulation analysis and comparison that RBDMCL has higher positioning accuracy than MCL in the anchor node density and node velocity.

The Mobile Node Localization Algorithm Based on Monte Carlo

2013 ◽  
Vol 712-715 ◽  
pp. 1847-1850
Author(s):  
Jun Gang Zheng ◽  
Cheng Dong Wu ◽  
Zhong Tang Chen
Keyword(s):  
Monte Carlo ◽  
Mobile Node ◽  
Wireless Sensor ◽  
Localization Algorithm ◽  
Node Localization ◽  
Localization Accuracy ◽  
Monte Carlo Localization ◽  
Simulation Results ◽  
Specialized Hardware ◽  
High Node

There exist some mobile node localization algoriths in wireless sensor netwok,which require high computation and specialized hardware and high node large density of beacon nodes.The Monte Carlo localization method has been studied and an improved Monte Carlo node localization has been proposed. Predicting the trajectory of the node by interpolation and combing sampling box to sampling. The method can improve the efficiency of sampling and accuracy. The simulation results show that the method has achieved good localization accuracy.

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