Literature DB >> 22133488

Wireless sensor networks for indoor air quality monitoring.

Tsang-Chu Yu1, Chung-Chih Lin, Chun-Chang Chen, Wei-Lun Lee, Ren-Guey Lee, Chao-Heng Tseng, Shi-Ping Liu.   

Abstract

The purpose of this study is to build an indoor air quality monitoring system based on wireless sensor networks (WSNs) technology. The main functions of the system include (1) remote parameter adjustment and firmware update mechanism for the sensors to enhance the flexibility and convenience of the system, (2) sensor nodes are designed by referring to the IEEE 1451.4 standard. This way, sensor nodes can automatically adjust and be plug and play, and (3) calibration method to strength the measurement value's sensitivity and accuracy. The experimental results show that transmission speed improves 30% than Trickle, transmission volume reduced to 42% of the original volume, updating task in 5*5 network topology can be executed 1.79 times and power consumption reduced to 30%. When baseline drifts, we can use the firmware update mechanism to adjust the reference value. The way can reduce error percentage from 15% to 7%.
Copyright © 2011 IPEM. Published by Elsevier Ltd. All rights reserved.

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Year:  2011        PMID: 22133488     DOI: 10.1016/j.medengphy.2011.10.011

Source DB:  PubMed          Journal:  Med Eng Phys        ISSN: 1350-4533            Impact factor:   2.242


  3 in total

1.  Monitoring Indoor Air Quality for Enhanced Occupational Health.

Authors:  Rui Pitarma; Gonçalo Marques; Bárbara Roque Ferreira
Journal:  J Med Syst       Date:  2016-12-20       Impact factor: 4.460

2.  Indoor Air Quality Assessment Using a CO2 Monitoring System Based on Internet of Things.

Authors:  Gonçalo Marques; Cristina Roque Ferreira; Rui Pitarma
Journal:  J Med Syst       Date:  2019-02-07       Impact factor: 4.460

3.  An Indoor Monitoring System for Ambient Assisted Living Based on Internet of Things Architecture.

Authors:  Gonçalo Marques; Rui Pitarma
Journal:  Int J Environ Res Public Health       Date:  2016-11-17       Impact factor: 3.390

  3 in total

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