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MOSDEN: a scalable mobile collaborative platform for opportunistic sensing applications

journal contribution
posted on 2024-11-01, 17:21 authored by Prem Jayaraman, Charith Perera, Dimitrios Georgakopoulos, Arkady Zaslavsky
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.

History

Related Materials

  1. 1.
    DOI - Is published in 10.4108/cc.1.1.e6
  2. 2.
    ISSN - Is published in 23128623

Journal

EAI Endorsed Transactions on Collaborative Computing

Volume

1

Number

e6

Issue

1

Start page

1

End page

16

Total pages

16

Publisher

European Union Digital Library

Place published

Belgium

Language

English

Copyright

© 2014 P.P Jayaraman, et al., licensed to ICST

Former Identifier

2006049460

Esploro creation date

2020-06-22

Fedora creation date

2015-01-15

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