Low-Powered Wireless Sensor Network for Indoor Localization

The proliferation of wireless sensor networks (WSN) open a possibility for use in indoor localization. WSN is intended principally for monitoring and control applications that demand very low power consumption from a battery source. This study investigates the use of WSN for indoor localization....

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Main Author: Widyawan, Widyawan
Format: Article
Language:English
Published: 2010
Subjects:
Online Access:https://repository.ugm.ac.id/33067/1/A_low_powered_wireless_sensor.pdf
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author Widyawan, Widyawan
author_facet Widyawan, Widyawan
author_sort Widyawan, Widyawan
collection UGM
description The proliferation of wireless sensor networks (WSN) open a possibility for use in indoor localization. WSN is intended principally for monitoring and control applications that demand very low power consumption from a battery source. This study investigates the use of WSN for indoor localization. The WSN is used to track and detect the location of a moving object inside a building. This system was developed in the context of WSN application for enabling and supporting improved facilities management. The overall goal of the facilities management is to improve energy efficiency of a building. Bayesian probabilistic approach implemented as particle filter and map filtering algorithm is presented. The location system performance is also evaluated. It is found that the location system provide reliable prediction (μ = 2.17m with σ = 1.27m).
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spelling oai:generic.eprints.org:330672014-03-19T06:43:17Z https://repository.ugm.ac.id/33067/ Low-Powered Wireless Sensor Network for Indoor Localization Widyawan, Widyawan Makalah Seminar The proliferation of wireless sensor networks (WSN) open a possibility for use in indoor localization. WSN is intended principally for monitoring and control applications that demand very low power consumption from a battery source. This study investigates the use of WSN for indoor localization. The WSN is used to track and detect the location of a moving object inside a building. This system was developed in the context of WSN application for enabling and supporting improved facilities management. The overall goal of the facilities management is to improve energy efficiency of a building. Bayesian probabilistic approach implemented as particle filter and map filtering algorithm is presented. The location system performance is also evaluated. It is found that the location system provide reliable prediction (μ = 2.17m with σ = 1.27m). 2010-03-03 Article PeerReviewed application/pdf en https://repository.ugm.ac.id/33067/1/A_low_powered_wireless_sensor.pdf Widyawan, Widyawan (2010) Low-Powered Wireless Sensor Network for Indoor Localization. Proceeding ICGC-RCICT 2010. ISSN 2086-4868
spellingShingle Makalah Seminar
Widyawan, Widyawan
Low-Powered Wireless Sensor Network for Indoor Localization
title Low-Powered Wireless Sensor Network for Indoor Localization
title_full Low-Powered Wireless Sensor Network for Indoor Localization
title_fullStr Low-Powered Wireless Sensor Network for Indoor Localization
title_full_unstemmed Low-Powered Wireless Sensor Network for Indoor Localization
title_short Low-Powered Wireless Sensor Network for Indoor Localization
title_sort low powered wireless sensor network for indoor localization
topic Makalah Seminar
url https://repository.ugm.ac.id/33067/1/A_low_powered_wireless_sensor.pdf
work_keys_str_mv AT widyawanwidyawan lowpoweredwirelesssensornetworkforindoorlocalization