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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 Georgakopoulos
Internet 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 Conference

Pagination

473 - 478

Publisher

Institute of Electrical and Electronics Engineers

Location

Melbourne, Vic.

Place of publication

Piscataway, N.J.

Start date

2013-04-02

End date

2013-04-05

ISBN-13

9781467355001

Language

eng

Publication classification

E1.1 Full written paper - refereed

Copyright notice

2013, IEEE

Editor/Contributor(s)

[Unknown]

Title of proceedings

IEEE ISSNIP 2013 : Proceedings of the 2013 IEEE Eighth International Conference on Intelligent Sensors, Sensor Networks and Information Processing

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