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.
Supported by the National S&T Major Project (No. 2018ZX03001004), Science and Technology Program of Beijing (No. D171100006317002) and the Ministry of Education and China Mobile Joint Scientific Research Fund (Grant No. MCM20160105).
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© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Yu, S., Su, X., Zeng, J., Cui, H. (2019). Mobility Assisted Wireless Sensor Network Cooperative Localization via SOCP. In: Zheng, J., Xiang, W., Lorenz, P., Mao, S., Yan, F. (eds) Ad Hoc Networks. ADHOCNETS 2018. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 258. Springer, Cham. https://doi.org/10.1007/978-3-030-05888-3_12
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DOI: https://doi.org/10.1007/978-3-030-05888-3_12
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