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Dynamic configuration of sensors using mobile sensor hub in Internet of Things paradigm
conference contribution
posted on 2013-01-01, 00:00 authored by C Perera, P Jayaraman, Arkady ZaslavskyArkady Zaslavsky, P Christen, D GeorgakopoulosInternet of Things (IoT) envisions billions of sensors to be connected to the Internet. By deploying intelligent low-level computational devices such as mobile phones in-between sensors and cloud servers, we can reduce data communication with the use of intelligent processing such as fusing and filtering sensor data, which saves significant amount of energy. This is also ideal for real world sensor deployments where connecting sensors directly to a computer or to the Internet is not practical. Most of the leading IoT middleware solutions require manual and labour intensive tasks to be completed in order to connect a mobile phone to them. In this paper we present a mobile application called Mobile Sensor Hub (MoSHub). It allows variety of different sensors to be connected to a mobile phone and send the data to the cloud intelligently reducing network communication. Specifically, we explore techniques that allow MoSHub to be connected to cloud based IoT middleware solutions autonomously. For our experiments, we employed Global Sensor Network (GSN) middleware to implement and evaluate our approach. Such automated configuration reduces significant amount of manual labour that need to be performed by technical experts otherwise. We also evaluated different methods that can be used to automate the configuration process.
History
Event
ARC Research Network on Intelligent Sensors, Sensor Networks and Information Processing. Conference (8th : 2013 : Melbourne, Vic.)Series
ARC Research Network on Intelligent Sensors, Sensor Networks and Information Processing ConferencePagination
473 - 478Publisher
Institute of Electrical and Electronics EngineersLocation
Melbourne, Vic.Place of publication
Piscataway, N.J.Publisher DOI
Start date
2013-04-02End date
2013-04-05ISBN-13
9781467355001Language
engPublication classification
E1.1 Full written paper - refereedCopyright notice
2013, IEEEEditor/Contributor(s)
[Unknown]Title of proceedings
IEEE ISSNIP 2013 : Proceedings of the 2013 IEEE Eighth International Conference on Intelligent Sensors, Sensor Networks and Information ProcessingUsage metrics
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