Using dead reckoning, GPS and fingerprinting for ubiquitous positioning

Hsiao Hsien Chiu, Yi Jiun Tang, Ming Shi Wang

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

1 Citation (Scopus)

Abstract

In many Internet of Things (IoT) scenarios, the applications need to identify the location of sensors/actuators and interact with them. Thus, a basic, common and primary mechanism is needed to identify the location of things. Everybody knows that Global Positioning System (GPS) is widely accepted as a reliable, available and accurate source of positioning, able to operate across the globe. But it is unavailable for indoors, it is due to the absence of line of sight to satellites. For indoor positioning, there are many wireless technologies have been developed, includes WiFi, RFID, Bluetooth, etc. But the sensors and actuators of IoT will be deployed in anywhere and they maybe move between indoor and outdoor environment. So ubiquitous positioning systems is expected that can work in both environments. In this paper, we proposed a hybrid positioning algorithm, which combined the Complementary Extended Kalman Filter, Dead Reckoning, GPS and WiFi Fingerprinting technologies for ubiquitous positioning. Based on the algorithm, the mobile things can report its geographic coordinate no matter where they are.

Original languageEnglish
Title of host publicationUbiquitous Computing Application and Wireless Sensor, UCAWSN-2014
EditorsYi Pan, Gangman Yi, Han-Chieh Chao, James J. Park
PublisherSpringer Verlag
Pages31-43
Number of pages13
ISBN (Electronic)9789401796170
DOIs
Publication statusPublished - 2015 Jan 1
Event2nd FTRA International Conference on Ubiquitous Computing Application and Wireless Sensor Network, UCAWSN 2014 - , Korea, Republic of
Duration: 2014 Jul 72014 Jul 10

Publication series

NameLecture Notes in Electrical Engineering
Volume331
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Other

Other2nd FTRA International Conference on Ubiquitous Computing Application and Wireless Sensor Network, UCAWSN 2014
CountryKorea, Republic of
Period14-07-0714-07-10

All Science Journal Classification (ASJC) codes

  • Industrial and Manufacturing Engineering

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