A low-cost collaborative location scheme with GNSS and RFID for the Internet of Things

Jing, C., Wang, S., Wang, M. , Du, M., Zhou, L., Sun, T. and Wang, J. (2018) A low-cost collaborative location scheme with GNSS and RFID for the Internet of Things. ISPRS International Journal of Geo-Information, 7(5), 180. (doi: 10.3390/ijgi7050180)

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The emergence and development of the Internet of Things (IoT) has attracted growing attention to low-cost location systems when facing the dramatically increased number of public infrastructure assets in smart cities. Various radio frequency identification (RFID)-based locating systems have been developed. However, most of them are impractical for infrastructure asset inspection and management on a large scale due to their high cost, inefficient deployment, and complex environments such as emergencies or high-rise buildings. In this paper, we proposed a novel locating system by combing the Global Navigation Satellite System (GNSS) with RFID, in which a target tag was located with one RFID reader and one GNSS receiver with sufficient accuracy for infrastructure asset management. To overcome the cost challenge, one mobile RFID reader-mounted GNSS receiver is used to simulate multiple location known reference tags. A vast number of reference tags are necessary for current RFID-based locating systems, which means higher cost. To achieve fine-grained location accuracy, we utilize a distance-based power law weight algorithm to estimate the exact coordinates. Our experiment demonstrates the effectiveness and advantages of the proposed scheme with sufficient accuracy, low cost and easy deployment on a large scale. The proposed scheme has potential applications for location-based services in smart cities.

Item Type:Articles
Additional Information:This study is jointly supported by the National Natural Science Foundation of China (Grant # 41771412), the Beijing Natural Science Foundation (Grant # 8182015), Beijing Advanced innovation center for future urban design (Grant # UDC2016050100), and the Open Research Fund of Key Laboratory for National Geographic Census and Monitoring, National Administration of Surveying, Mapping and Geoinformation (Grant # 2016NGCM10).
Glasgow Author(s) Enlighten ID:Wang, Dr Mingshu
Authors: Jing, C., Wang, S., Wang, M., Du, M., Zhou, L., Sun, T., and Wang, J.
College/School:College of Science and Engineering > School of Geographical and Earth Sciences
Journal Name:ISPRS International Journal of Geo-Information
ISSN (Online):2220-9964
Published Online:09 May 2018
Copyright Holders:Copyright © 2018 The Authors
First Published:First published in ISPRS International Journal of Geo-Information 7(5): 180
Publisher Policy:Reproduced under a Creative Commons License

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