Abstract
Aiming at the malicious attack problem in FM positioning, based on the characteristics of FM broadcast signal, a kind of FM Multiple hybrid Strategy Filtrate Localization (FMFL) is proposed: according to the current FM signal characteristics, the reasonable distance error range of each anchor node is determined, which is effective. The effect of joint attack and other methods on the performance of the positioning algorithm is reduced. At the same time, in order to improve the positioning accuracy of the algorithm more effectively, the positioning process is divided into two stages: anchor node validity verification and positioning calculation. The experimental results show that this method can obtain higher security and positioning accuracy in the presence of multiple malicious attacks.
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
Similar content being viewed by others
References
Xueyan F (2017) Research on FM-based device-free wireless localization and activity recognition system. Dalian University of Technology, Los Angeles
Bao P (2009) Research on mobile node location and secure location technology in wireless sensor networks. PhD thesis, Harbin Institute of Technology
Yanjun H (2015) Positioning technology research based on FM. Xiangtan University, Los Angeles
Zhang J (2013) A two-step filtrate localization method for wireless sensor networks. J Theor Appl Inf Technol 47(1):60–63
Chang J-Y, Shen T-H (2016) An efficient tree-based power saving scheme for wireless sensor networks with mobile sink. IEEE Sens J 16(20):7545–7557
Haghighat J, Hamouda W (2016) A power-efficient scheme for wireless sensor networks based on transmission of good bits and threshold optimization. IEEE Trans Commun 64(8):3520–3533
Abdelhakim M et al (2016) Mobile coordinated wireless sensor network: an energy efficient scheme for real-time transmissions. IEEE J Sel Areas Commun 34(5):1663–1675
Farooq-I-Azam M et al (2016) Intelligent energy efficient localization using variable range beacons in industrial wireless sensor networks. IEEE Trans Ind Inf 12(6):2206–2216
Akcan H, Evrendilek C (2018) Complexity of energy efficient localization with the aid of a mobile beacon. IEEE Commun Lett 22(2):392–395
Liu X, Zhan Y, Cen J (2018) An energy-efficient crowd-sourcing-based indoor automatic localization system. IEEE Sens J 18(14):6009–6022
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Xue, WC., Hua, Y., Ju, J. (2020). Multiple Hybrid Strategies Filtrate Localization Based on FM for Wireless Sensor Networks. In: Liang, Q., Wang, W., Liu, X., Na, Z., Jia, M., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2019. Lecture Notes in Electrical Engineering, vol 571. Springer, Singapore. https://doi.org/10.1007/978-981-13-9409-6_321
Download citation
DOI: https://doi.org/10.1007/978-981-13-9409-6_321
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-13-9408-9
Online ISBN: 978-981-13-9409-6
eBook Packages: EngineeringEngineering (R0)