scholarly journals A Distance Boundary with Virtual Nodes for the Weighted Centroid Localization Algorithm

Sensors ◽  
2018 ◽  
Vol 18 (4) ◽  
pp. 1054 ◽  
Author(s):  
Kwang-Yul Kim ◽  
Yoan Shin
Keyword(s):  
Localization Algorithm ◽  
Weighted Centroid Localization

A Localization Algorithm for Wireless Sensor Network Based on the Weighted Correction in Geometric Measurement

2015 ◽  
Vol 740 ◽  
pp. 823-829
Author(s):  
Meng Long Cao ◽  
Chong Xin Yang
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Signal Strength ◽  
Received Signal Strength ◽  
Wireless Sensor ◽  
Localization Algorithm ◽  
Received Signal Strength Indicator ◽  
Localization Algorithms ◽  
Weighted Centroid Localization ◽  
Geometric Measurement

Firstly, the characteristics of regular Zigbee localization algorithms-the received signal strength indicator algorithm (RSSI) and the weighted centroid localization algorithm are introduced. Then, the factors of the errors existing in the aforementioned algorithms are analyzed. Based on these above, the improved RSSI algorithm-correction geometric measurement based on weighted is proposed. Finally, utilizing this algorithm to design and implement the localization nodes, which have the CC2431 wireless microcontroller on them. The simulation and experimental results show that the accuracy of this localization algorithm improved about 2%, comparing with the regular algorithms.

Research on Underground Personnel Positioning Method Based on PSO-GSA Optimization

2016 ◽  
Vol 8 (4) ◽  
pp. 21-74
Author(s):  
Ye Liu ◽  
Tianze Li ◽  
Tao Gao ◽  
Yuhan Wang ◽  
JiaHui Chen
Keyword(s):  
Search Algorithm ◽  
Gravitational Search Algorithm ◽  
Path Loss ◽  
Localization Algorithm ◽  
Positioning Accuracy ◽  
Experiment Platform ◽  
Positioning Method ◽  
Unknown Node ◽  
Weighted Centroid Localization ◽  
On Chip

In the case of coal mine accidents, in order to ensure timely rescue of the suffering people in a complex environment of underground localization, focusing on Received Signal Strength Indicator (RSSI) in underground personnel positioning accuracy is low and the problem of dynamic tracing parameters changes. Therefore, using an improved gravitational search algorithm (GSA) for the weighted centroid localization that based on RSSI. Utilizing the log distance path loss model gets the distance between the beacon nodes and unknown nodes, and then through the weighted centroid localization algorithm perform the unknown node positioning. Finally, the improved GSA-PSO optimizes the preliminary location results and parameters. Proposed solutions to establish simulation model is verified in MATLAB, and use the on-chip system CC2430 chips experiment platform is established. Experimental results show the proposed method can improve both the positioning accuracy effectively and the adaptive ability of changeful environment.

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