Mobility Assisted Wireless Sensor Network Cooperative Localization via SOCP

Sijia Yu; Xin Su; Jie Zeng; Huanxi Cui

Ad Hoc Networks. 10th EAI International Conference, ADHOCNETS 2018, Cairns, Australia, September 20-23, 2018, Proceedings

Research Article

Mobility Assisted Wireless Sensor Network Cooperative Localization via SOCP

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@INPROCEEDINGS{10.1007/978-3-030-05888-3_12,
    author={Sijia Yu and Xin Su and Jie Zeng and Huanxi Cui},
    title={Mobility Assisted Wireless Sensor Network Cooperative Localization via SOCP},
    proceedings={Ad Hoc Networks. 10th EAI International Conference, ADHOCNETS 2018, Cairns, Australia, September 20-23, 2018, Proceedings},
    proceedings_a={ADHOCNETS},
    year={2018},
    month={12},
    keywords={Cooperative localization Wireless sensor network Multidimensional scaling Second order cone programming Kalman filter},
    doi={10.1007/978-3-030-05888-3_12}
}

Sijia Yu
Xin Su
Jie Zeng
Huanxi Cui
Year: 2018
Mobility Assisted Wireless Sensor Network Cooperative Localization via SOCP
ADHOCNETS
Springer
DOI: 10.1007/978-3-030-05888-3_12

Sijia Yu¹^,*, Xin Su²^,*, Jie Zeng²^,*, Huanxi Cui³^,*

1: University of Electronic Science and Technology of China
2: Tsinghua University
3: Chongqing University of Posts and Telecommunications

*Contact email: ysj_17@mail.tsinghua.edu.cn, suxin@tsinghua.edu.cn, zengjie@tsinghua.edu.cn, haoxuan_c@mail.tsinghua.edu.cn

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.

Keywords: Cooperative localization Wireless sensor network Multidimensional scaling Second order cone programming Kalman filter

Published: 2018-12-19
Appears in: SpringerLink

: http://dx.doi.org/10.1007/978-3-030-05888-3_12