@inproceedings{307d3e7444424b26a37d9e4b4212d8c4,
title = "Mobility assisted wireless sensor network cooperative localization via SOCP",
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, Kalman filter, Multidimensional scaling, Second order cone programming, Wireless sensor network",
author = "Sijia Yu and Xin Su and Jie Zeng and Huanxi Cui",
note = "Publisher Copyright: {\textcopyright} ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2019.; 10th International Conference on Ad Hoc Networks, ADHOCNETS 2018 ; Conference date: 20-09-2018 Through 23-09-2018",
year = "2019",
doi = "10.1007/978-3-030-05888-3_12",
language = "English",
isbn = "9783030058876",
series = "Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST",
publisher = "Springer Verlag",
pages = "129--138",
editor = "Shiwen Mao and Wei Xiang and Jun Zheng and Feng Yan and Pascal Lorenz",
booktitle = "Ad Hoc Networks - 10th EAI International Conference, ADHOCNETS 2018, Proceedings",
address = "Germany",
}