OmimamoriNet: An Outdoor Positioning System Based on Wi-SUN FAN Network

Yin Chen, Mina Sakamura, Jin Nakazawa, Takuro Yonezawa, Akira Tsuge, Yuichi Hamada

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

We propose in this paper an outdoor positioning system based on Wi-SUN FAN network, the goal of which is to protect the elderly, young children and even pets via estimating their locations in a city. In order to achieve long-term portability and network-side positioning, the system does not directly rely on GPS receiver mounted on terminals but use machine learning for location estimation via the received signal strength indication (RSSI) measurements. In particular, the system consists of Wi-SUN beacons, Wi-SUN base-stations and vehicular devices. A beacon, attached to the one to be positioned, broadcasts wireless signal periodically so that its location can be estimated using machine learning algorithms from the RSSIs measured at multiple base-stations that are densely deployed over a city to construct an ad hoc network. Using the mobility of vehicles that roam over a city routinely, such like garbage collection trucks, buses and taxies. Vehicular devices containing both a Wi-SUN beacon and a GPS are used to collect RSSIs and the corresponding GPS coordinates to train the estimation models. We develop a prototype system consisting of 9 base-stations and deploy it to our university campus to conduct a field experiment to validate the proposed approach. Offline analysis on the data collected from the experiment showed that a RandomForest learner performs best among four selected learning algorithms using the default parameters of Weka 3.8, which achieves a mean absolute error of 35.43m and a root mean squared error of 44.21m, respectively. Evaluation on network performance is also conducted.

Original languageEnglish
Title of host publication2018 11th International Conference on Mobile Computing and Ubiquitous Network, ICMU 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9784907626341
DOIs
Publication statusPublished - 2019 Feb 26
Event11th International Conference on Mobile Computing and Ubiquitous Network, ICMU 2018 - Auckland, New Zealand
Duration: 2018 Oct 52018 Oct 8

Publication series

Name2018 11th International Conference on Mobile Computing and Ubiquitous Network, ICMU 2018

Conference

Conference11th International Conference on Mobile Computing and Ubiquitous Network, ICMU 2018
CountryNew Zealand
CityAuckland
Period18/10/518/10/8

Keywords

  • Automotive sensing
  • Machine learning
  • Positioning
  • Smart cities
  • Wi-SUN

ASJC Scopus subject areas

  • Computer Networks and Communications

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  • Cite this

    Chen, Y., Sakamura, M., Nakazawa, J., Yonezawa, T., Tsuge, A., & Hamada, Y. (2019). OmimamoriNet: An Outdoor Positioning System Based on Wi-SUN FAN Network. In 2018 11th International Conference on Mobile Computing and Ubiquitous Network, ICMU 2018 [8653618] (2018 11th International Conference on Mobile Computing and Ubiquitous Network, ICMU 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.23919/ICMU.2018.8653618