DocumentCode :
2946080
Title :
Dense, low-power sensor network for three-dimensional thermal characterization of large-scale atria spaces
Author :
Nan-Wei Gong ; Ware, Laura ; Ray, Sambaran ; Ware, Gary ; Leida, Brett ; Ren, Tianke ; London, Phil ; Turza, Ashley ; Way, David ; Glicksman, Leon ; Paradiso, Joseph A.
Author_Institution :
Responsive Environments Group, MIT Media Lab., Cambridge, MA, USA
fYear :
2012
fDate :
28-31 Oct. 2012
Firstpage :
1
Lastpage :
4
Abstract :
We describe the design and implementation of a dense, low-power wireless sensor network for fine-grained three-dimensional thermal characterization of a large open indoor space. To better understand the airflow dynamics and ensuing energy efficiency potential of this type of modern architectural design, we developed a sustainable wireless mesh network consisting of 50 sensors hung on an array of thin cables in a 210 m2, 14.2 m tall atrium for real-time temperature and humidity monitoring. The goal is to create compact wireless measurement sensor blocks for dense coverage in the building. We demonstrate the implementation through a preliminary analysis, which includes the evaluation of temperature distribution discrepancies with computer-simulated results and data taken during natural ventilation to illustrate the nontrivial, well-mixed temperatures observed during the studies.
Keywords :
humidity measurement; temperature measurement; wireless mesh networks; wireless sensor networks; airflow dynamics; compact wireless measurement sensor blocks; energy efficiency; fine-grained three-dimensional thermal characterization; humidity monitoring; large open indoor space; large-scale atria spaces; low-power wireless sensor network; real-time temperature monitoring; sustainable wireless mesh network; temperature distribution discrepancy evaluation; thin cable array; three-dimensional thermal characterization; well-mixed temperatures; Floors; Heating; Steady-state; Temperature distribution; Temperature measurement; Temperature sensors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Sensors, 2012 IEEE
Conference_Location :
Taipei
ISSN :
1930-0395
Print_ISBN :
978-1-4577-1766-6
Electronic_ISBN :
1930-0395
Type :
conf
DOI :
10.1109/ICSENS.2012.6411177
Filename :
6411177
Link To Document :
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