Abstract
RSSI-based localization technology is widely concerned for WSN node localization. However, this kind of methods has relatively larger localization error, and its localization rate is low. In order to enhance the localization accuracy, the localization error is declined by considering the construction of signal transmission model as well as the ranging process, and a modified weighted centroid localization algorithm is proposed in this paper. The simulation results show that the proposed approach can effectively reduce the three-dimensional node localization error.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Chowdhury, T.J.S., Elkin, C., Devabhaktuni, V.: Advances on localization techniques for wireless sensor networks. Comput. Netw. Int. J. Comput. Telecommun. Netw. 110(C), 284–305 (2016)
Jianpo, L., Xinxin, Z., Chun, X.: A survey of static node localization algorithms for wireless sensor networks. J. Northeast. Dianli Univ. 35(2), 73–82 (2015a)
Jianpo, L., Xinxin, Z., Chun, X.: A survey of dynamic node localization algorithms for wireless sensor networks. J. Northeast. Dianli Univ. 35(1), 52–58 (2015b)
Wu, X., Tan, S., He, Y.: Effective error control of iterative localization for wireless sensor networks. AEU-Int. J. Electron. Commun. 67(5), 397–405 (2013)
Trong, The N., Jeng, Shyang P., Shu, Chuan C.: Optimization localization in wireless sensor network based on multi-objective firefly algorithm. J. Netw. Intell. 1(4), 130–138 (2016)
Shuo, Z., Yuan, B.: A class of quadratic eigenvalue inverse problems and their optimal approximation. J. Northeast. Electr. Power Univ. 37(5), 96–101 (2017)
Zheng, L., Automation, D.O.: Localization algorithm for wireless sensor networks (WSNs) based on dynamic discrete weighted model. Chin. J. Sens. Actuators 28(3), 437–442 (2015)
Daniel, M., Cristian, G., Vicente, G.: Sense Q: Replying questions of social networks users by using a wireless sensor network based on sensor relationships. Data Sci. Pattern Recognit. 1(1), 1–12 (2017)
Shieh, C.S., Sai, V.O., Lee, T.F.: Node localization in WSN using heuristic optimization approaches. J. Netw. Intell. 2(3), 275–286 (2017)
Shuo, Z., Fan, Y.: The inverse problem of quadratic eigenvalues of mixed matrices and its optimal approximation. J. Northeast. Electr. Power Univ. 38(4), 85–89 (2018)
Acknowledgments
This work was supported by National Natural Science Foundation of China (No. 61501106), Science and Technology Foundation of Jilin Province (No. 20180101039JC and JJKH20170102KJ).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
Li, J. et al. (2019). Modification Algorithm to Node Localization Error for Wireless Sensor Networks. In: Pan, JS., Ito, A., Tsai, PW., Jain, L. (eds) Recent Advances in Intelligent Information Hiding and Multimedia Signal Processing. IIH-MSP 2018. Smart Innovation, Systems and Technologies, vol 109. Springer, Cham. https://doi.org/10.1007/978-3-030-03745-1_12
Download citation
DOI: https://doi.org/10.1007/978-3-030-03745-1_12
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-03744-4
Online ISBN: 978-3-030-03745-1
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)