Monitoring appliances sensor data in home environment: Issues and challenges

Nazaraf Shah, Chen Fang Tsai, Kuo Ming Chao

    Research output: Chapter in Book/Report/Conference proceedingConference proceedingpeer-review

    10 Citations (Scopus)
    150 Downloads (Pure)


    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 languageEnglish
    Title of host publication2009 IEEE Conference on Commerce and Enterprise Computing, CEC 2009
    Number of pages6
    Publication statusPublished - 2009
    Event2009 IEEE Conference on Commerce and Enterprise Computing - Vienna, Austria
    Duration: 20 Jul 200923 Jul 2009


    Conference2009 IEEE Conference on Commerce and Enterprise Computing
    Abbreviated titleCEC 2009

    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


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