Monitoring appliances sensor data in home environment: Issues and challenges

Nazaraf Shah; Chen Fang Tsai; Kuo Ming Chao

doi:10.1109/CEC.2009.65

Monitoring appliances sensor data in home environment: Issues and challenges

Nazaraf Shah, Chen Fang Tsai, Kuo Ming Chao

Aletheia University

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding › peer-review

10 Citations (Scopus)

180 Downloads (Pure)

Abstract

In this paper our focus is on issues and challenges faced in monitoring energy consumption in the domestic sector and way forward to deal with these challenges. Implementing a sensor network to monitor energy consumption of household appliances in a meaningful way requires sophisticated network design. Such network has to deal with large amount raw sensor data coming from multiple sources. The challenge is how to collect necessary data and store it for producing intelligent advice on economical energy usage for household. One way of dealing with this challenge is to have smart sensor devices embedded in home appliances, however currently a vast majority of domestic appliances do not have even dumb sensor devices to enable access to their energy consumption data. In a typical home environment we can expect sensing devices with various capabilities ranging from passive device to intelligent and proactive devices. Raw data streams received from these devices need to normalised and represented in semantically equivalence manners.

Original language	English
Title of host publication	2009 IEEE Conference on Commerce and Enterprise Computing, CEC 2009
Pages	439-444
Number of pages	6
DOIs	https://doi.org/10.1109/CEC.2009.65
Publication status	Published - 2009
Event	2009 IEEE Conference on Commerce and Enterprise Computing - Vienna, Austria Duration: 20 Jul 2009 → 23 Jul 2009

Conference

Conference	2009 IEEE Conference on Commerce and Enterprise Computing
Abbreviated title	CEC 2009
Country/Territory	Austria
City	Vienna
Period	20/07/09 → 23/07/09

Bibliographical note

© 2009 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

ASJC Scopus subject areas

Artificial Intelligence
Computational Theory and Mathematics
Computer Science Applications
Software

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/CEC.2009.65

Post-printAccepted author manuscript, 410 KB

Cite this

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abstract = "In this paper our focus is on issues and challenges faced in monitoring energy consumption in the domestic sector and way forward to deal with these challenges. Implementing a sensor network to monitor energy consumption of household appliances in a meaningful way requires sophisticated network design. Such network has to deal with large amount raw sensor data coming from multiple sources. The challenge is how to collect necessary data and store it for producing intelligent advice on economical energy usage for household. One way of dealing with this challenge is to have smart sensor devices embedded in home appliances, however currently a vast majority of domestic appliances do not have even dumb sensor devices to enable access to their energy consumption data. In a typical home environment we can expect sensing devices with various capabilities ranging from passive device to intelligent and proactive devices. Raw data streams received from these devices need to normalised and represented in semantically equivalence manners.",

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AB - In this paper our focus is on issues and challenges faced in monitoring energy consumption in the domestic sector and way forward to deal with these challenges. Implementing a sensor network to monitor energy consumption of household appliances in a meaningful way requires sophisticated network design. Such network has to deal with large amount raw sensor data coming from multiple sources. The challenge is how to collect necessary data and store it for producing intelligent advice on economical energy usage for household. One way of dealing with this challenge is to have smart sensor devices embedded in home appliances, however currently a vast majority of domestic appliances do not have even dumb sensor devices to enable access to their energy consumption data. In a typical home environment we can expect sensing devices with various capabilities ranging from passive device to intelligent and proactive devices. Raw data streams received from these devices need to normalised and represented in semantically equivalence manners.

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Monitoring appliances sensor data in home environment: Issues and challenges

Abstract

Conference

Bibliographical note

ASJC Scopus subject areas

UN SDGs

Access to Document

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