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Connecting mobile things to global sensor network middleware using system-generated wrappers

Perera, Charith ORCID: https://orcid.org/0000-0002-0190-3346, Zaslavsky, Arkady, Christen, Peter, Salehi, Ali and Georgakopoulos, Dimitrios 2012. Connecting mobile things to global sensor network middleware using system-generated wrappers. Presented at: Workshop on Data Engineering for Wireless and Mobile Access (MobiDE 2012), Scottsdale, Arizona, USA, 20 May 2012. Proceedings of the Eleventh ACM International Workshop on Data Engineering for Wireless and Mobile Access. New York, NY, USA: Association for Computing Machinery, pp. 23-30. 10.1145/2258056.2258062
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Abstract

Internet of Things (IoT) will create a cyberphysical world where all the things around us are connected to the Internet, sense and produce 'big data' that has to be stored, processed and communicated with minimum human intervention. With the ever increasing emergence of new sensors, interfaces and mobile devices, the grand challenge is to keep up with this race in developing software drivers and wrappers for IoT things. In this paper, we examine the approaches that automate the process of developing middleware drivers/wrappers for the IoT things. We propose ASCM4GSN architecture to address this challenge efficiently and effectively. We demonstrate the proposed approach using Global Sensor Network (GSN) middleware which exemplifies a cluster of data streaming engines. The ASCM4GSN architecture significantly speeds up the wrapper development and sensor configuration process as demonstrated for Android mobile phone based sensors as well as for Sun SPOT sensors.

Item Type: Conference or Workshop Item (Paper)
Date Type: Published Online
Status: Published
Schools: Computer Science & Informatics
Subjects: Q Science > QA Mathematics > QA76 Computer software
Publisher: Association for Computing Machinery
ISBN: 9781450314428
Date of First Compliant Deposit: 3 August 2020
Date of Acceptance: 24 April 2012
Last Modified: 07 Nov 2022 10:53
URI: https://orca.cardiff.ac.uk/id/eprint/133884

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Cited 12 times in Scopus. View in Scopus. Powered By Scopus® Data

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