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MOSDEN: a scalable mobile collaborative platform for opportunistic sensing applications

Jayaraman, Prem Prakash, Perera, Charith, Georgakopoulos, Dimitrios and Zaslavsky, Arkady 2014. MOSDEN: a scalable mobile collaborative platform for opportunistic sensing applications. EAI Transactions on Collaborative Computing 01 (1) , e6. 10.4108/cc.1.1.e6

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Abstract

Mobile smartphones along with embedded sensors have become an efficient enabler for various mobile applications including opportunistic sensing. The hi-tech advances in smartphones are opening up a world of possibilities. This paper proposes a mobile collaborative platform called MOSDEN that enables and supports opportunistic sensing at run time. MOSDEN captures and shares sensor data acrossmultiple apps, smartphones and users. MOSDEN supports the emerging trend of separating sensors from application-specific processing, storing and sharing. MOSDEN promotes reuse and re-purposing of sensor data hence reducing the efforts in developing novel opportunistic sensing applications. MOSDEN has been implemented on Android-based smartphones and tablets. Experimental evaluations validate the scalability and energy efficiency of MOSDEN and its suitability towards real world applications. The results of evaluation and lessons learned are presented and discussed in this paper.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Computer Science & Informatics
Subjects: Q Science > QA Mathematics > QA76 Computer software
ISSN: 2312-8623
Date of First Compliant Deposit: 8 August 2020
Date of Acceptance: 28 April 2014
Last Modified: 11 Aug 2020 12:45
URI: http://orca.cf.ac.uk/id/eprint/134058

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