MOSDEN: A Scalable Mobile Collaborative Platform for Opportunistic Sensing Applications

Jayaraman, Prem Prakash and Perera, Charith and Georgakopoulos, Dimitrios and Zaslavsky, Arkady (2014) MOSDEN: A Scalable Mobile Collaborative Platform for Opportunistic Sensing Applications. EAI Endorsed Transactions on Collaborative Computing, 1 (1). e6. ISSN 2312-8623

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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
Uncontrolled Keywords: opportunistic sensing, crowdsensing, mobile middleware, mobile data analytics
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
QA75 Electronic computers. Computer science
Depositing User: EAI Editor IV
Date Deposited: 01 Jul 2021 11:52
Last Modified: 01 Jul 2021 11:52
URI: https://eprints.eudl.eu/id/eprint/4290

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