research-article

iSense: a wireless sensor network based conference room management system

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Sanjoy PaulAuthors Info & Claims

BuildSys '09: Proceedings of the First ACM Workshop on Embedded Sensing Systems for Energy-Efficiency in Buildings

Pages 37 - 42

https://doi.org/10.1145/1810279.1810288

Published: 03 November 2009 Publication History

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Abstract

In this paper, we have studied the IT system (e.g. MS-outlook) that is used to book meeting rooms in a corporate environment. In the existing IT system, the status of meeting rooms is manually entered, and as a result, it is not reflected in real time in the IT system. This results in severe underutilization of resources (conference rooms) across the corporation, and wastage of electricity with the lights and air-conditioning system being operational even when the rooms are unoccupied. We have created a test bed of motes and analyzed the occupancy and electricity consumption data to estimate the under-utilization of conference rooms, and the wastage of electricity in the process. In order to eliminate these problems, we have designed a wireless sensor network based solution which results in two main benefits: (i) the utilization of the conference room is increased from 67% to 90% and (ii) electricity saving is equivalent to 16000 full grown banyan trees in a year.

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Cited By

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Boovaraghavan SChen CMaravi ACzapik MZhang YHarrison CAgarwal Y(2023)MitesProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/35808657:1(1-32)Online publication date: 28-Mar-2023
https://dl.acm.org/doi/10.1145/3580865
Wei YWang SJin LXu YDing T(2022)Indoor occupancy estimation from carbon dioxide concentration using parameter estimation algorithmsBuilding Services Engineering Research and Technology10.1177/0143624421106090343:4(419-438)Online publication date: 27-Feb-2022
https://doi.org/10.1177/01436244211060903
De Bock YAuquilla ABracquené ENowé ADuflou J(2021)The energy saving potential of retrofitting a smart heating system: A residence hall pilot studySustainable Computing: Informatics and Systems10.1016/j.suscom.2021.10058531(100585)Online publication date: Sep-2021
https://doi.org/10.1016/j.suscom.2021.100585
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Index Terms

iSense: a wireless sensor network based conference room management system
1. Computer systems organization
  1. Architectures
    1. Distributed architectures
2. Networks

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Published In

BuildSys '09: Proceedings of the First ACM Workshop on Embedded Sensing Systems for Energy-Efficiency in Buildings

November 2009

80 pages

ISBN:9781605588247

DOI:10.1145/1810279

General Chair:
Antonio Ruzzelli
University College Dublin, Ireland

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 03 November 2009

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SenSys09

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SenSys09: The 7th ACM Conference on Embedded Network Sensor Systems

November 3, 2009

California, Berkeley

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Overall Acceptance Rate 148 of 500 submissions, 30%

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Cited By

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Boovaraghavan SChen CMaravi ACzapik MZhang YHarrison CAgarwal Y(2023)MitesProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/35808657:1(1-32)Online publication date: 28-Mar-2023
https://dl.acm.org/doi/10.1145/3580865
Wei YWang SJin LXu YDing T(2022)Indoor occupancy estimation from carbon dioxide concentration using parameter estimation algorithmsBuilding Services Engineering Research and Technology10.1177/0143624421106090343:4(419-438)Online publication date: 27-Feb-2022
https://doi.org/10.1177/01436244211060903
De Bock YAuquilla ABracquené ENowé ADuflou J(2021)The energy saving potential of retrofitting a smart heating system: A residence hall pilot studySustainable Computing: Informatics and Systems10.1016/j.suscom.2021.10058531(100585)Online publication date: Sep-2021
https://doi.org/10.1016/j.suscom.2021.100585
Ravi AMisra A(2020)Robust, Fine-Grained Occupancy Estimation via Combined Camera & WiFi Indoor Localization2020 IEEE 17th International Conference on Mobile Ad Hoc and Sensor Systems (MASS)10.1109/MASS50613.2020.00074(558-566)Online publication date: Dec-2020
https://doi.org/10.1109/MASS50613.2020.00074
Trivedi DBadarla V(2019)Occupancy detection systems for indoor environments: A survey of approaches and methodsIndoor and Built Environment10.1177/1420326X1987562129:8(1053-1069)Online publication date: 16-Sep-2019
https://doi.org/10.1177/1420326X19875621
Goyal SWang WBrambley M(2019)Design and implementation of a test bed for building controlsBuilding Services Engineering Research and Technology10.1177/014362441984677540:6(758-766)Online publication date: 29-Apr-2019
https://doi.org/10.1177/0143624419846775
Vikash Mishra LChouhan SVarma S(2019)Energy Efficient Smart Working Environment Using Internet of Things2019 IEEE 89th Vehicular Technology Conference (VTC2019-Spring)10.1109/VTCSpring.2019.8746355(1-5)Online publication date: Apr-2019
https://doi.org/10.1109/VTCSpring.2019.8746355
Sanchez LDiaz-Oreiro IQuesada LGuerrero LLopez G(2019)Smart Meeting Room Management System Based on Real-Time Occupancy2019 IV Jornadas Costarricenses de Investigación en Computación e Informática (JoCICI)10.1109/JoCICI48395.2019.9105174(1-6)Online publication date: Aug-2019
https://doi.org/10.1109/JoCICI48395.2019.9105174
Ankam DBouguila NAmayri M(2019)Beta-Liouville Regression and Applications2019 6th International Conference on Control, Decision and Information Technologies (CoDIT)10.1109/CoDIT.2019.8820449(1740-1745)Online publication date: Apr-2019
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Chouliara APeppas KTsolakis AVafeiadis TKrinidis STzovaras D(2019)Occupancy Inference Through Energy Consumption Data: A Smart Home ExperimentComputer Vision Systems10.1007/978-3-030-34995-0_61(670-679)Online publication date: 23-Nov-2019
https://doi.org/10.1007/978-3-030-34995-0_61
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