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Task Assignment for Semi-opportunistic Mobile Crowdsensing Read chapter Read first chapter

2019 | OriginalPaper | Chapter

Mobility Assisted Wireless Sensor Network Cooperative Localization via SOCP

Authors : Sijia Yu, Xin Su, Jie Zeng, Huanxi Cui

Published in: Ad Hoc Networks

Publisher: Springer International Publishing

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Abstract

Cooperative sensor localization plays an essential role in the Global Positioning System (GPS) limited indoor networks. While most of the earlier work is of static nodes localization, the localization of mobile nodes is still a challenging task for wireless sensor networks. This paper proposes an effective cooperative localization scheme in the mobile wireless sensor network, which exploits distance between nodes as well as their mobility information. We first use multidimensional scaling (MDS) to perform initial location estimation. Then second-order cone programming (SOCP) is applied to obtain the location estimation. To make full use of the mobility of nodes, we further utilize Kalman filter (KF) to reduce the localization error and improve the robustness of the localization system. The proposed mobility assisted localization scheme significantly improves the localization accuracy of mobile nodes.

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Literature
1.
Salari, S., Shahbazpanahi, S., Ozdemir, K.: Mobility-aided wireless sensor network localization via semidefinite programming. IEEE Trans. Wireless Commun. 12(12), 5966–5978 (2013)CrossRef
2.
Shang, Y., Rum, W.: Improved MDS-based localization. In: Joint Conference of the IEEE Computer and Communications Societies (2004)
3.
Chen, L., Yang, K., Wang, X.: Robust cooperative Wi-Fi fingerprint-based indoor localization. IEEE Internet Things J. 3(6), 1406–1417 (2016)CrossRef
4.
Srirangarajan, S., Tewfik, A.H., Luo, Z.Q.: Distributed sensor network localization using SOCP relaxation. IEEE Trans. Wireless Commun. 7(12), 4886–4895 (2008)CrossRef
5.
Tseng, P.: Second-order cone programming relaxation of sensor network localization. SIAM J. Optim. 18(1), 156–185 (2017)MathSciNetCrossRef
6.
Biswas, P., Liang, T.C., Toh, K.C., et al.: Semidefinite programming approaches for sensor network localization with noisy distance measurements. IEEE Trans. Autom. Sci. Eng. 3(4), 360–371 (2006)CrossRef
7.
Vaghefi, R.M., Buehrer, R.M.: Cooperative localization in NLOS environments using semidefinite programming. IEEE Commun. Lett. 19(8), 1382–1385 (2015)CrossRef
8.
Vaghefi, R.M., Amuru, S.D., Buehrer, R.M.: Improving mobile node tracking performance in NLOS environments using cooperation. In: IEEE International Conference on Communications (2015)
9.
Wang, X., Zhou, H., Mao, S., et al.: Mobility improves LMI-based cooperative indoor localization. In: Wireless Communications and Networking Conference (2015)
10.
Dong, L.: Cooperative network localization via node velocity estimation. In: IEEE Conference on Wireless Communications & Networking Conference (2009)
11.
Borg, I.: Modern Multidimensional Scaling: Theory and Applications (2009)
12.
Gower, J.C., Dijksterhuis, G.B.: Procrustes Problems. Oxford University Press, Oxford (2004)CrossRef
13.
Welch, G., Bishop, G.: An introduction to the Kalman filter, vol. 8, no. 7, pp. 127–132 (1995)
Metadata
Title
Mobility Assisted Wireless Sensor Network Cooperative Localization via SOCP
Authors
Sijia Yu
Xin Su
Jie Zeng
Huanxi Cui
Copyright Year
2019
Book
Ad Hoc Networks

Print ISBN: 978-3-030-05887-6

Electronic ISBN: 978-3-030-05888-3

Copyright Year: 2019

DOI
https://doi.org/10.1007/978-3-030-05888-3_12

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