Abstract
In recent years, wireless access technology is quite popular for being convenient, fast and flexible. However, due to the openness of wireless network, this technology is also faced with a number of security challenges, one of which is how to deal with the unauthorized access point effectively. As we all know, the unauthorized access point leads to not only increasing interference between signals induced by the fierce competition of wireless channel resources, but also data leakage resulting in ‘‘wireless phishing”. In response to these security threats, much importance has been put on the research of unauthorized access point location and trajectory tracking. This paper firstly proposes an optimization model of wireless signal propagation. Then an access point location and tracking method called APL_T is put forward, which supports three-dimensional location based on the weight update improving the location accuracy effectively and raises the trajectory tracking of the access point in the light of the three-dimensional location. Finally, the experimental results show that APL_T has high accuracy and can meet practical requirements.
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
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Rappaport, T.S.: Wireless Communications Principles and Practices Second Edition [M], pp. 42–56. Publishing House of Electronics Industry, Beijing (2011)
Priyantha, N., Chakraborthy, A., Balakrishnan, H.: The Cricket location-support system[J]. Mobile Computing and Networking 1(30), 140–147 (2010)
Savvides, A., Park, H., Srivastava, M.B.: The bits and flops of the N-hop multilateration primitive for node localization problems [J]. Mobile Networks and Applications 8, 443–451 (2003)
Harter, A.: A distributed location system for the active office[J]. IEEE Network 8(1), 62–70 (2007)
Cao, Y.: Target Localization Based on AOAs[J]. Journal of Electronic Science and Technology of China 5(2), 172–174 (2007)
Sayed, A.H., Tarighat, A., Khajehnouri, N.: Network-based wire-less location[J]. IEEE Signal Processing Magazine 22(4), 24–40 (2005)
Paul, A.S., Wan, E.A.: RSSI-Based Indoor Localization and Tracking Using Sigma-Point Kalman Smoothers[J]. IEEE Journal of Selected Topics in Signal Proeessing 3(5), 860–873 (2009)
Savvides, A., Park, H., Srivastava, M.B.: The bits and flops of the N-hop multilateration primitive for node localization problems[J]. Wireless Sensor Networks and Application, 112–121 (2011)
Xin, J., Sano, A.: Computationally efficient subspace-based method for direction-of-arrival estimation without eigen decomposition
Li, J., Li, J., Guo, L., Wang, P.: Power-efficient node localization algorithm in wireless sensor networks. In: Shen, H.T., Li, J., Li, M., Ni, J., Wang, W. (eds.) APWeb Workshops 2006. LNCS, vol. 3842, pp. 420–430. Springer, Heidelberg (2006)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this paper
Cite this paper
Chen, L., Cai, G., Lan, Y. (2015). An Access Point Trajectory Tracking Method by the Weight Update. In: Tan, Y., Shi, Y., Buarque, F., Gelbukh, A., Das, S., Engelbrecht, A. (eds) Advances in Swarm and Computational Intelligence. ICSI 2015. Lecture Notes in Computer Science(), vol 9142. Springer, Cham. https://doi.org/10.1007/978-3-319-20469-7_19
Download citation
DOI: https://doi.org/10.1007/978-3-319-20469-7_19
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-20468-0
Online ISBN: 978-3-319-20469-7
eBook Packages: Computer ScienceComputer Science (R0)