Version 1
: Received: 23 May 2019 / Approved: 24 May 2019 / Online: 24 May 2019 (12:36:07 CEST)
How to cite:
Chen, J.; Wang, S.; Ouyang, M.; Chen, Y.; Xuan, Y. Iterative Positioning Algorithm of the Target Node Based on Distance Correction in WSN. Preprints2019, 2019050296. https://doi.org/10.20944/preprints201905.0296.v1
Chen, J.; Wang, S.; Ouyang, M.; Chen, Y.; Xuan, Y. Iterative Positioning Algorithm of the Target Node Based on Distance Correction in WSN. Preprints 2019, 2019050296. https://doi.org/10.20944/preprints201905.0296.v1
Chen, J.; Wang, S.; Ouyang, M.; Chen, Y.; Xuan, Y. Iterative Positioning Algorithm of the Target Node Based on Distance Correction in WSN. Preprints2019, 2019050296. https://doi.org/10.20944/preprints201905.0296.v1
APA Style
Chen, J., Wang, S., Ouyang, M., Chen, Y., & Xuan, Y. (2019). Iterative Positioning Algorithm of the Target Node Based on Distance Correction in WSN. Preprints. https://doi.org/10.20944/preprints201905.0296.v1
Chicago/Turabian Style
Chen, J., Yudi Chen and Yuting Xuan. 2019 "Iterative Positioning Algorithm of the Target Node Based on Distance Correction in WSN" Preprints. https://doi.org/10.20944/preprints201905.0296.v1
Abstract
The node position information is critical in the wireless sensor network (WSN). However, the existing positioning algorithms commonly have low positioning accuracy because of noise interferences in communication. To solve this problem, this paper presents an iterative positioning model based on distance correction to improve the positioning accuracy of the target node in WSN. First, the log-distance distribution model of received signal strength indication (RSSI) ranging is built and the noise impact factor is derived based on the model. Second, the initial position coordinates of the target node are obtained based on the triangle centroid localization algorithm, thereby calculating the distance deviation coefficient under the influence of noise. Then, the ratio of the distance measured by the log-normal distribution model to the median distance deviation coefficient is taken as the new distance between the anchor node and the target node. Based on the new distance, the triangular centroid positioning algorithm is used again to calculate the target node coordinates. Finally, the iterative positioning model is constructed, and the distance deviation coefficient is updated repeatedly to update the positioning result until the set number of iterations is reached. Experiment results show that the proposed iterative positioning model can improve positioning accuracy effectively.
Computer Science and Mathematics, Data Structures, Algorithms and Complexity
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
