Abstract
Localization is a pivotal technology in wireless sensor networks and location information of sensor nodes is essential to location-based applications. In the beacon-based localization, the reliability of beacons’ location information is critical to the quality of network service. In this paper, we study the influences of drifting beacons and malicious beacons in the network localization. So according to this scenario mentioned above, we propose a distributed and lightweight beacons locations verification algorithm based on neighborhood-similarity (BLVNS), which utilizes similarity of the beacons’ neighborhood in different time slot to recognize drifting beacons. Then, we propose a distributed and lightweight unreliable beacons verification algorithm based on trust-model (BLVTM). The whole algorithms can be applied to the static and dynamic WSNs to improve the accuracy of range-free localization. Experiment results show that our algorithms can recognize unreliable beacons with detection rate higher than 90%.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Safa, H.: A novel localization algorithm for large scale wireless sensor networks. Comput. Commun. 45, 32–46 (2014)
Gezici, S., Tian, Z., Giannakis, G.B., et al.: Localization via ultra-wideband radios: a look at positioning aspects of future sensor networks. IEEE Signal Process. Mag. 22(4), 70–84 (2005)
Patwari, N., Ash, J.N., Kyperountas, S., et al.: Locating the nodes: cooperative localization in wireless sensor networks. IEEE Signal Process. Mag. 22(4), 54–69 (2005)
Vempaty, A., Ozdemir, O., Agrawal, K., et al.: Localization in wireless sensor networks: Byzantines and Mitigation techniques. IEEE Trans. Signal Process. 61(6), 1495–1508 (2013)
Shao, H.J., Zhang, X.P., Wang, Z.: Efficient closed-form algorithms for AOA based self-localization of sensor nodes using auxiliary variables. IEEE Trans. Signal Process. 62(10), 2580–2594 (2014)
Wang, Y., Wang, X., Wang, D., et al.: Range-free localization using expected hop progress in wireless sensor networks. IEEE Trans. Parallel Distrib. Syst. 20(10), 1540–1552 (2009)
Zhou, Y., Xia, S., Ding, S., et al.: An improved APIT node self-localization algorithm in WSN based on triangle-center scan. J. Comput. Res. Dev. 46(4), 566–574 (2009)
Liu, D., Lee, M.C., Wu, D.: A node-to-node location verification method. IEEE Trans. Ind. Electron. 57(5), 1526–1537 (2010)
He, D., Cui, L., Huang, H., et al.: Design and verification of enhanced secure localization scheme in wireless sensor networks. IEEE Trans. Parallel Distrib. Syst. 20(7), 1050–1058 (2009)
Kuo, S.P., Kuo, H.J., Tseng, Y.C.: The beacon movement detection problem in wireless sensor networks for localization applications. IEEE Trans. Mob. Comput. 8(10), 1326–1338 (2009)
Niculescu, D., Nath, B.: DV based positioning in ad hoc networks. Telecommun. Syst. 22(1–4), 267–280 (2003)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Mao, K., Zhou, X., Yang, Z., Shi, W. (2019). Sensor Location Verification Scheme Based on Range-Free Localizations in WSNs. In: Shen, S., Qian, K., Yu, S., Wang, W. (eds) Wireless Sensor Networks. CWSN 2018. Communications in Computer and Information Science, vol 984. Springer, Singapore. https://doi.org/10.1007/978-981-13-6834-9_9
Download citation
DOI: https://doi.org/10.1007/978-981-13-6834-9_9
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-13-6833-2
Online ISBN: 978-981-13-6834-9
eBook Packages: Computer ScienceComputer Science (R0)