A Low-Cost Collaborative Location Scheme with GNSS and RFID for the Internet of Things

Changfeng Jing, Shouqing Wang, Mingshu Wang (Corresponding Author), Mingyi Du, Lei Zhou, Tiancheng Sun, Jian Wang

Research output: Contribution to journalArticleAcademicpeer-review

7 Citations (Scopus)
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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.

Original languageEnglish
Article number180
Number of pages15
JournalISPRS international journal of geo-information
Issue number5
Publication statusPublished - May 2018
Externally publishedYes


  • Internet of Things (IoT)
  • radio frequency identification (RFID)
  • Global Navigation Satellite System (GNSS)
  • low-cost localization


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