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

Robot Devastation: Using DIY Low-Cost Platforms for Multiplayer Interaction in an Augmented Reality Game

We present Robot Devastation, a multiplayer augmented reality game using low-cost robots. Players can assemble their low-cost robotic platforms and connect them to the central server, commanding them through their home P...

Bio-Inspired Routing Protocol Based on Pheromone Diffusion in Mobile Ad Hoc Networks

Bio-inspired routing protocols use the principle of swarm intelligence, which finds the optimal path to the destination in a distributed and autonomous way in dynamically changing environments; therefore, they can maximi...

Analysis of Meteorological Data for applications in Ngoundiane’s Site

This work is about an appropriate cho oiicce of a renewable energy source between a wind turburbine and a solar power plant. The selected renewable energy source sshould supply electricity to a site, part of the Universs...

Reinforcement Learning with Internal Reward for Multi-Agent Cooperation: A Theoretical Approach

This paper focuses on a multi-agent cooperation which is generally difficult to be achieved without sufficient information of other agents, and proposes the reinforcement learning method that introduces an internal rewar...

ARZombie: A Mobile Augmented Reality Game with Multimodal Interaction

Augmented reality games have the power to extend virtual gaming into real world scenarios with real people, while enhancing the senses of the user. This paper describes the AR- Zombie game developed with the aim of study...

Download PDF file
  • EP ID EP45679
  • DOI http://dx.doi.org/10.4108/cc.1.1.e6
  • Views 488
  • 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