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MOSDEN: an Internet of Things middleware for resource constrained mobile devices

Perera, Charith, Jayaraman, Prem Prakash, Zaslavsky, Arkady, Christen, Peter and Georgakopoulos, Dimitrios 2014. MOSDEN: an Internet of Things middleware for resource constrained mobile devices. Presented at: 47th Hawaii International Conference on System Sciences (HICSS 2014), Waikoloa, HI, USA, 6-9 January 2014. 2014 47th Hawaii International Conference on System Sciences. IEEE, pp. 1053-1062. 10.1109/HICSS.2014.137

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Abstract

The Internet of Things (IoT) is part of Future Internet and will comprise many billions of Internet Connected Objects (ICO) or `things' where things can sense, communicate, compute and potentially actuate as well as have intelligence, multi-modal interfaces, physical/ virtual identities and attributes. Collecting data from these objects is an important task as it allows software systems to understand the environment better. Many different hardware devices may involve in the process of collecting and uploading sensor data to the cloud where complex processing can occur. Further, we cannot expect all these objects to be connected to the computers due to technical and economical reasons. Therefore, we should be able to utilize resource constrained devices to collect data from these ICOs. On the other hand, it is critical to process the collected sensor data before sending them to the cloud to make sure the sustainability of the infrastructure due to energy constraints. This requires to move the sensor data processing tasks towards the resource constrained computational devices (e.g. mobile phones). In this paper, we propose Mobile Sensor Data Processing Engine (MOSDEN), an plug-in-based IoT middleware for mobile devices, that allows to collect and process sensor data without programming efforts. Our architecture also supports sensing as a service model. We present the results of the evaluations that demonstrate its suitability towards real world deployments. Our proposed middleware is built on Android platform.

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: IEEE
ISBN: 9781479925049
ISSN: 1530-1605
Date of First Compliant Deposit: 11 August 2020
Date of Acceptance: 17 August 2013
Last Modified: 11 Aug 2020 13:00
URI: http://orca.cf.ac.uk/id/eprint/134059

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