General-purpose deep tracking platform across protocols for the internet of things

Zhenlin An, Qiongzheng Lin, Ping Li, Lei Yang

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

Abstract

In recent years, considerable effort has been recently exerted to explore the high-precision RF-tracking systems indoors to satisfy various real-world demands. However, such systems are tailored for a particular type of device (e.g., RFID, WSN or Wi-Fi). With the rapid development of the Internet of Things (IoT), various new wireless protocols (e.g., LoRa, Sigfox, and NB-IoT) have been proposed to accommodate different demands. The coexistence of multiple types of IoT devices forces users to deploy multiple tracking systems in a warehouse or a smart home where various IoT devices are running, which causes huge additional costs in installation and maintenance. To address this issue, this work presents iArk, which is a general-purpose tracking platform for all types of IoT devices working at the ultra high frequency band. Our innovation lies in the design of the "K+1"-model hardware, the protocol free middleware, and the multipath resistant learnware. By the virtue of decoupling from wireless protocols, iArk also allows researchers to concentrate on developing a new tracking algorithm without considering the protocol diversity. To date, the platform can support five mainstream types of IoT devices (i.e., NB-IoT, LoRa, RFID, Sigfox and Zigbee) and is scalable to other types with minimal effort.

Original languageEnglish
Title of host publicationMobiSys 2020 - Proceedings of the 18th International Conference on Mobile Systems, Applications, and Services
PublisherAssociation for Computing Machinery, Inc
Pages94-106
Number of pages13
ISBN (Electronic)9781450379540
DOIs
Publication statusPublished - 15 Jun 2020
Event18th ACM International Conference on Mobile Systems, Applications, and Services, MobiSys 2020 - Toronto, Canada
Duration: 15 Jun 202019 Jun 2020

Publication series

NameMobiSys 2020 - Proceedings of the 18th International Conference on Mobile Systems, Applications, and Services

Conference

Conference18th ACM International Conference on Mobile Systems, Applications, and Services, MobiSys 2020
CountryCanada
CityToronto
Period15/06/2019/06/20

Keywords

  • Deep learning
  • Internet of Things
  • Localization

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications

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