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
- EP ID EP45679
- DOI http://dx.doi.org/10.4108/cc.1.1.e6
- Views 507
- Downloads 0
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...
An Analytical Study of Computation and Communication Tradeoffs in Distributed Graph
Distributed vertex-centric graph processing systems such as Pregel, Giraph and GPS have acquired significant popularity in recent years. Although the manner in which graph data is partitioned and placed on the computatio...
Dynamic State Space Partitioning for Adaptive Simulation Algorithms
Adaptive simulation algorithms can automatically change their configuration during runtime to adapt to changing computational demands of a simulation, e.g., triggered by a changing number of model entities or the executi...
Space Searching Algorithms Used by Fungi
Experimental studies have shown that fungi use a natural program for searching the space available in micro-confined networks, e.g., mazes. This natural program, which comprises two subroutines, i.e., collision-induced b...
Design of Pet Robots with Limitations of Lives and Inherited Characteristics
In this paper, we propose a framework of life duration and inheritance for pet robots to make them have original characteristics in their limited lives. The purpose of our research is to develop a pet robot that enables...