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Efficient opportunistic sensing using mobile collaborative platform MOSDEN
conference contribution
posted on 2013-01-01, 00:00 authored by P P Jayaraman, C Perera, D Georgakopoulos, Arkady ZaslavskyArkady ZaslavskyMobile devices are rapidly becoming the primary computing device in people's lives. Application delivery platforms like Google Play, Apple App Store have transformed mobile phones into intelligent computing devices by the means of applications that can be downloaded and installed instantly. Many of these applications take advantage of the plethora of sensors installed on the mobile device to deliver enhanced user experience. The sensors on the smartphone provide the opportunity to develop innovative mobile opportunistic sensing applications in many sectors including healthcare, environmental monitoring and transportation. In this paper, we present a collaborative mobile sensing framework namely Mobile Sensor Data EngiNe (MOSDEN) that can operate on smartphones capturing and sharing sensed data between multiple distributed applications and users. MOSDEN follows a component-based design philosophy promoting reuse for easy and quick opportunistic sensing application deployments. MOSDEN separates the application-specific processing from the sensing, storing and sharing. MOSDEN is scalable and requires minimal development effort from the application developer. We have implemented our framework on Android-based mobile platforms and evaluate its performance to validate the feasibility and efficiency of MOSDEN to operate collaboratively in mobile opportunistic sensing applications. Experimental outcomes and lessons learnt conclude the paper. © 2013 ICST.
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Event
Collaborative Computing. Conference (9th : 2013 : Austin, Texas)Pagination
77 - 86Publisher
IEEELocation
Austin, TexasPlace of publication
Piscataway, N.J.Start date
2013-10-20End date
2013-10-23ISBN-13
9781936968923Language
engPublication classification
E1.1 Full written paper - refereedCopyright notice
2013, ICSTTitle of proceedings
COLLABORATECOM 2013: Proceedings of the 9th IEEE International Conference on Collaborative Computing: Networking, Applications and WorksharingUsage metrics
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