Robust TDOA Localization Algorithm for Asynchronous Wireless Sensor Networks

This paper presents a tag localization algorithm based on the time-difference-of-arrival (TDOA) of mobile tag signal for asynchronous wireless sensor network (WSN) with N anchors (nodes with known locations) and a large number of mobile tags. To obtain time synchronization, all anchors broadcast sig...

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Main Authors: Hui Xiong, Zhiyuan Chen, Wei An, Beiya Yang
Format: Article
Language:English
Published: SAGE Publishing 2015-05-01
Series:International Journal of Distributed Sensor Networks
Online Access:https://doi.org/10.1155/2015/598747
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spelling doaj-45c9742f4f884c55b1a46016a3d6df9a2020-11-25T03:45:17ZengSAGE PublishingInternational Journal of Distributed Sensor Networks1550-14772015-05-011110.1155/2015/598747598747Robust TDOA Localization Algorithm for Asynchronous Wireless Sensor NetworksHui XiongZhiyuan ChenWei AnBeiya YangThis paper presents a tag localization algorithm based on the time-difference-of-arrival (TDOA) of mobile tag signal for asynchronous wireless sensor network (WSN) with N anchors (nodes with known locations) and a large number of mobile tags. To obtain time synchronization, all anchors broadcast signals periodically; relative clock offsets and skews of anchor pairs are estimated by the least-square (LS) method using the times-of-arrival (TOAs) of broadcast signals at anchors. When a tag transmits signal, the TOA of tag signal at each anchor is stamped and errors in original TDOAs of tag signal due to relative clock offsets and skews of anchor pairs are eliminated. Based on Gaussian noise model, maximum likelihood estimation (MLE) for the tag position is obtained. Performance issues are addressed by evaluating the Cramér-Rao lower bound of synchronization and localization algorithms. Since the tag can be located via a single transmission, least power consumption of tag is required, and large number of tags can be served in WSN. The proposed algorithm is simple and effective, with performance close to that of synchronous TDOA algorithm.https://doi.org/10.1155/2015/598747
collection DOAJ
language English
format Article
sources DOAJ
author Hui Xiong
Zhiyuan Chen
Wei An
Beiya Yang
spellingShingle Hui Xiong
Zhiyuan Chen
Wei An
Beiya Yang
Robust TDOA Localization Algorithm for Asynchronous Wireless Sensor Networks
International Journal of Distributed Sensor Networks
author_facet Hui Xiong
Zhiyuan Chen
Wei An
Beiya Yang
author_sort Hui Xiong
title Robust TDOA Localization Algorithm for Asynchronous Wireless Sensor Networks
title_short Robust TDOA Localization Algorithm for Asynchronous Wireless Sensor Networks
title_full Robust TDOA Localization Algorithm for Asynchronous Wireless Sensor Networks
title_fullStr Robust TDOA Localization Algorithm for Asynchronous Wireless Sensor Networks
title_full_unstemmed Robust TDOA Localization Algorithm for Asynchronous Wireless Sensor Networks
title_sort robust tdoa localization algorithm for asynchronous wireless sensor networks
publisher SAGE Publishing
series International Journal of Distributed Sensor Networks
issn 1550-1477
publishDate 2015-05-01
description This paper presents a tag localization algorithm based on the time-difference-of-arrival (TDOA) of mobile tag signal for asynchronous wireless sensor network (WSN) with N anchors (nodes with known locations) and a large number of mobile tags. To obtain time synchronization, all anchors broadcast signals periodically; relative clock offsets and skews of anchor pairs are estimated by the least-square (LS) method using the times-of-arrival (TOAs) of broadcast signals at anchors. When a tag transmits signal, the TOA of tag signal at each anchor is stamped and errors in original TDOAs of tag signal due to relative clock offsets and skews of anchor pairs are eliminated. Based on Gaussian noise model, maximum likelihood estimation (MLE) for the tag position is obtained. Performance issues are addressed by evaluating the Cramér-Rao lower bound of synchronization and localization algorithms. Since the tag can be located via a single transmission, least power consumption of tag is required, and large number of tags can be served in WSN. The proposed algorithm is simple and effective, with performance close to that of synchronous TDOA algorithm.
url https://doi.org/10.1155/2015/598747
work_keys_str_mv AT huixiong robusttdoalocalizationalgorithmforasynchronouswirelesssensornetworks
AT zhiyuanchen robusttdoalocalizationalgorithmforasynchronouswirelesssensornetworks
AT weian robusttdoalocalizationalgorithmforasynchronouswirelesssensornetworks
AT beiyayang robusttdoalocalizationalgorithmforasynchronouswirelesssensornetworks
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