Computational Grid-Based Data Management and Analysis for a Mobile Sensor Network Deployment

Sensor network data can provide manifold opportunities to extract information from a target environment and understand it more accurately. In the case of environmental pollution, complex air movement and dispersion patterns mean that a large amount of data is needed to analyze and model pollution episodes effectively. To enable improved pollution management, captured data must undergo processing that is often computationally intensive and must be carried out in near real-time. This paper describes work in the MESSAGE project to design, build and trial a mobile sensor network deployment using a Grid-based infrastructure for data management and analysis.