MOSDEN: A Scalable Mobile Collaborative Platform for Opportunistic Sensing Applications

Journal Title: EAI Endorsed Transactions on Collaborative Computing - Year 2015, Vol 1, Issue 1

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.

Authors and Affiliations

Prem Prakash Jayaraman, Charith Perera, Dimitrios Georgakopoulos, Arkady Zaslavsky

Keywords

Related Articles

Impact on procurement and training by research on the interaction design of medical devices

We present a case study of how research can influence practice in the procurement of healthcare technology based on the CHI+MED project. CHI+MED is concerned with interaction design and the safety of medical devices. It...

An Augmented User Model for Personalized Search in Collaborative Social Tagging Systems

Alongside the enormous volume of user-generated content posted to World Wide Web, there exists a thriving demand for search personalization services. To provide personalized services, a user model is usually required. We...

A Framework for Performance Evaluation of Decentralized Eventual Consistency Algorithms

Eventual Consistency (EC) model is adopted by numerous large-scale distributed systems. To ensure performance and scalability, this model allows any replica to accept updates without remote synchronization. Nowadays, man...

A System for Multimodal Interaction with Kinect-Enabled Virtual Windows

Commercial off-the-shelf gaming devices (e.g. such as Kinect) are demonstrating to have a great potential beyond their initial service purpose. In particular, when integrated within the environment or as part of smart ob...

Merging By Decentralized Eventual Consistency Algorithms

Merging mechanism is an essential operation for version control systems. When each member of collaborative development works on an individual copy of the project, software merging allows to reconcile modifications made c...

Download PDF file
  • EP ID EP45679
  • DOI http://dx.doi.org/10.4108/cc.1.1.e6
  • Views 431
  • Downloads 0

How To Cite

Prem Prakash Jayaraman, Charith Perera, Dimitrios Georgakopoulos, Arkady Zaslavsky (2015). MOSDEN: A Scalable Mobile Collaborative Platform for Opportunistic Sensing Applications. EAI Endorsed Transactions on Collaborative Computing, 1(1), -. https://europub.co.uk/articles/-A-45679