TY - GEN
T1 - FlagLoc: Localization Using a Flag for Mobile Wireless Sensor Networks with Measurement Errors
AU - Wu, Hejun
AU - Xu, Baiyun
AU - Cao, Jiannong
AU - Wang, Yongkang
AU - Yang, Zhongheng
N1 - Funding Information:
National Natural Science Foundation of China (No. 61672552 and U1611461), the National Key R&D Program of China (No. 2018YFB1004801), Hong Kong RGC Research Impact Fund (No. R5034-18) and Hong Kong RGC Collaborative Research Fund (No. C6030-18G).
Funding Information:
This work was supported by the National Natural Science Foundation of China (NSFC) (Grant No. 61672552 and U1611461), the National Key R&D Program of China (No. 2018YFB1004801), Hong Kong RGC Research Impact Fund (No. R5034-18) and Hong Kong RGC Collaborative Research
Publisher Copyright:
© 2020 IEEE.
Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2020/6
Y1 - 2020/6
N2 - Indoor, underground, or underwater threedimensional (3D) localization provides fundamental support to the applications of mobile wireless sensor networks (WSNs). In these applications, a single robot cannot work, as there are no GPS signals and few references for the robot to loalizae itself in the large in-door spaces. Existing in-door localization approaches usually rely on the projection of the 3D topology graph onto a horizontal plane. Such projection is infeasible in a narrow vertical space, either, since it requires three location-known nodes, called anchors, as reference nodes on a large horizontal plane. In this paper, we propose a new distributed 3D localization protocol, FlagLoc, for the mobile WSNs. FlagLoc uses a flag that is composed of three anchor nodes on a plane of any angle to start the localization and to lead the network motion of a mobile WSN. Furthermore, FlagLoc compensates for distance and motion measurement errors. The evaluation shows that FlagLoc significantly outperforms the existing state-of-the-art schemes in terms of accuracy.
AB - Indoor, underground, or underwater threedimensional (3D) localization provides fundamental support to the applications of mobile wireless sensor networks (WSNs). In these applications, a single robot cannot work, as there are no GPS signals and few references for the robot to loalizae itself in the large in-door spaces. Existing in-door localization approaches usually rely on the projection of the 3D topology graph onto a horizontal plane. Such projection is infeasible in a narrow vertical space, either, since it requires three location-known nodes, called anchors, as reference nodes on a large horizontal plane. In this paper, we propose a new distributed 3D localization protocol, FlagLoc, for the mobile WSNs. FlagLoc uses a flag that is composed of three anchor nodes on a plane of any angle to start the localization and to lead the network motion of a mobile WSN. Furthermore, FlagLoc compensates for distance and motion measurement errors. The evaluation shows that FlagLoc significantly outperforms the existing state-of-the-art schemes in terms of accuracy.
KW - localization
KW - measurement error
KW - mobile wireless sensor networks
KW - range-based
UR - https://www.scopus.com/pages/publications/85091961631
U2 - 10.1109/SECON48991.2020.9158409
DO - 10.1109/SECON48991.2020.9158409
M3 - Conference article published in proceeding or book
AN - SCOPUS:85091961631
T3 - Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks workshops
SP - 1
EP - 9
BT - 2020 17th IEEE International Conference on Sensing, Communication and Networking, SECON 2020
PB - IEEE Computer Society
T2 - 17th IEEE International Conference on Sensing, Communication and Networking, SECON 2020
Y2 - 22 June 2020 through 25 June 2020
ER -