A participatory service platform for indoor location-based services

Hyojeong Shin, Yohan Chon, Yungeun Kim, Hojung Cha

Research output: Contribution to journalArticle

15 Citations (Scopus)

Abstract

Providing indoor location-based services is challenging due to the vast coverage required and the scalability of positioning systems. This article proposes a participatory service platform for indoor location-based services to solve such problems. In the proposed platform, a few site trainers constructed an initial database of indoor positioning locations through minimal intrusive actions. Thereafter, crowd users of indoor positioning services opportunistically contributed sensing data to improve service quality. The proposed service platform provides an autonomous site-training tool for site trainers and a sample application for continuous contributions by individuals. This architecture takes advantage of crowdsourcing-based service construction and offloads the service costs.

Original languageEnglish
Article number7030274
Pages (from-to)62-69
Number of pages8
JournalIEEE Pervasive Computing
Volume14
Issue number1
DOIs
Publication statusPublished - 2015 Jan 1

    Fingerprint

All Science Journal Classification (ASJC) codes

  • Software
  • Computer Science Applications
  • Computational Theory and Mathematics

Cite this