Dude, Are You Approaching Me? Detecting Close Physical Contact via Unlicensed LPWAN Signals

Chenglong Shao, Osamu Muta

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

Abstract

Recognizing if two objects are in close physical contact (CPC) is the basis of various Internet-of-Mobile-Things services such as vehicle proximity alert and radiation exposure reduction. This is achieved traditionally through proximity sensors that proactively transmit wireless signals and analyze the reflection from an object. Despite its feasibility, the past few years have witnessed the prosperity of reactive CPC detection techniques that merely exploit received wireless signals from a target. Unlike existing approaches entailing additional effort of multiple antennas, dedicated signal emitters, or human intervention, this paper presents TONARI, an effortless CPC detection framework that performs in a reactive manner. Particularly, TONARI is developed firstly with LoRa, the representative of unlicensed Low Power Wide Area Network (LPWAN) technologies, as the wireless signal for CPC detection. At the heart of TONARI lies a subtle feature arbitrator aiming to distinguish different types of LoRa chirp-based additive sample magnitude sequences. TONARI further includes a LoRa chirp mapping operation and makes final decision based on multiple received packets. Experiment shows that TONARI can achieve the CPC detection accuracy of 100% in most practical cases.

Original languageEnglish
Title of host publication2021 IEEE International Conference on Communications Workshops, ICC Workshops 2021 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728194417
DOIs
Publication statusPublished - Jun 2021
Event2021 IEEE International Conference on Communications Workshops, ICC Workshops 2021 - Virtual, Online
Duration: Jun 14 2021Jun 23 2021

Publication series

Name2021 IEEE International Conference on Communications Workshops, ICC Workshops 2021 - Proceedings

Conference

Conference2021 IEEE International Conference on Communications Workshops, ICC Workshops 2021
CityVirtual, Online
Period6/14/216/23/21

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Networks and Communications
  • Hardware and Architecture
  • Information Systems and Management

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