A 3-Tier UWB-Based Indoor Localization System for Ultra-Low-Power Sensor Networks

被引:26
作者
Li, Zheng [1 ]
Dehaene, Wim [1 ]
Gielen, Georges [1 ]
机构
[1] Katholieke Univ Leuven, Dept Electrotech ESAT MICAS, B-3001 Louvain, Belgium
关键词
UWB; indoor localization; TOA; ultra low power;
D O I
10.1109/TWC.2009.080602
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
We present a 3-tier UWB-based indoor localization system. It consists of a large number of energy-scavenging-based cost-effective transmit-only tags, a small number of battery-powered hubs as relay stations and a few base stations. This hierarchical scheme is driven by the energy available at each node. Localization is based on the arrival time of the UWB pulses at reference nodes. We describe how the coordinates and transmit time of a tag are determined and how the ambiguous solution is eliminated with the proper geometry of 4 reference nodes. We formulate where to place the hubs as an optimization problem. The localization performance of the system is investigated as a function of several parameters such as non-ideal hub placement, hub localization error and TOA error.
引用
收藏
页码:2813 / 2818
页数:6
相关论文
共 27 条
[21]   Energy-efficient on-demand indoor localization platform based on wireless sensor networks using low power wake up receiver [J].
Guidara, Amir ;
Derbel, Faouzi ;
Fersi, Ghofrane ;
Bdiri, Sadok ;
Ben Jemaa, Maher .
AD HOC NETWORKS, 2019, 93
[22]   MACSen: A Processing-In-Sensor Architecture Integrating MAC Operations Into Image Sensor for Ultra-Low-Power BNN-Based Intelligent Visual Perception [J].
Xu, Han ;
Li, Ziru ;
Lin, Ningchao ;
Wei, Qi ;
Qiao, Fei ;
Yin, Xunzhao ;
Yang, Huazhong .
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS, 2021, 68 (02) :627-631
[23]   High-Precision RSSI-based Indoor Localization Using A Transmission Power Adjustment Strategy for Wireless Sensor Networks [J].
Wang, Jiing-Yi ;
Chen, Chia-Pang ;
Lin, Tzu-Shiang ;
Chuang, Cheng-Long ;
Lai, Tzu-Yun ;
Jiang, Joe-Air .
2012 IEEE 14TH INTERNATIONAL CONFERENCE ON HIGH PERFORMANCE COMPUTING AND COMMUNICATIONS & 2012 IEEE 9TH INTERNATIONAL CONFERENCE ON EMBEDDED SOFTWARE AND SYSTEMS (HPCC-ICESS), 2012, :1634-1638
[24]   Ultra-Low-Power Multi-function Data Collection System Based on MSP430 and uC/OS-II [J].
Chen Song ;
Wu Zi-heng ;
Wu Zhong-cheng ;
Lv Hong .
PROCEEDINGS OF THE 2017 2ND INTERNATIONAL CONFERENCE ON AUTOMATIC CONTROL AND INFORMATION ENGINEERING (ICACIE 2017), 2017, 119 :76-79
[25]   Ultra-Low Power Wireless Sensor Networks Based on Time Slotted Channel Hopping with Probabilistic Blacklisting [J].
Cena, Gianluca ;
Scanzio, Stefano ;
Valenzano, Adriano .
ELECTRONICS, 2022, 11 (03)
[26]   Ultra-Low-Power E-Nose System Based on Multi-Micro-LED-Integrated, Nanostructured Gas Sensors and Deep Learning [J].
Lee, Kichul ;
Cho, Incheol ;
Kang, Mingu ;
Jeong, Jaeseok ;
Choi, Minho ;
Woo, Kie Young ;
Yoon, Kuk-Jin ;
Cho, Yong-Hoon ;
Park, Inkyu .
ACS NANO, 2023, 17 (01) :539-551
[27]   E-nose system based on ultra-low power single micro-LED gas sensor and deep learning [J].
Lee, Kichul ;
Cho, Incheol ;
Park, Inkyu .
2023 IEEE SENSORS, 2023,