@inproceedings{1d746265ab41459f98d3ded9b42634ad,
title = "A novel node localization algorithm for anisotropic wireless sensor networks with holes based on MDS-MAP and EKF",
abstract = "The node localization technique is the basis of applications of the wireless sensor networks (WSNs). The existence of holes will affect the shortest distance between nodes and result in low accuracy of node localization. In this paper, an Extended Kalman Filter Multidimensional Scaling (EKF-MDS) localization algorithm is proposed. By exploring the virtual node and constructing the shortest paths between nodes, the Euclidean distances between nodes are obtained. The Extended Kalman Filter (EKF) is applied to refine the localized coordinates which are obtained by the MDS-MAP algorithm. Simulation results demonstrate that the proposed algorithm is exceedingly accurate and efficient comparing to state-of-the-art methods in anisotropic networks with holes.",
keywords = "anisotropic networks, extended kalman filter, node localization, wireless sensor networks",
author = "Shi Zhang and Baihai Zhang and Er, \{Meng Joo\} and Zixiao Guan",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 2016 IEEE Region 10 Conference, TENCON 2016 ; Conference date: 22-11-2016 Through 25-11-2016",
year = "2017",
month = feb,
day = "8",
doi = "10.1109/TENCON.2016.7848601",
language = "English",
series = "IEEE Region 10 Annual International Conference, Proceedings/TENCON",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "3022--3025",
booktitle = "Proceedings of the 2016 IEEE Region 10 Conference, TENCON 2016",
address = "United States",
}