A combined inductive and deductive sense data extraction and visualisation service
Mohammad Ali A. Hammoudeh, Robert Newman, Sarah Mount, Christopher Dennett · 2009
Wireless sensor networks (WSNs) have an intimate interaction, via sensors, with the physical environment they operate within. Application domains have a significant effect on applications performance because WSNs are usually deployed to perform application specific tasks. The part of the world with which an application is concerned is defined as that application's domain. The application domain may help scientists to leverage computational power to simulate, visualise, manipulate, predict and gain intuition about monitored phenomenon. In this paper we propose a new visualisation framework, called Multi-Dimensional Application Domain-driven (M-DAD), that elevates the capabilities of the sense data extraction and visualisation mapping service proposed in [1]. M- DAD exploits the application domain to dynamically minimise the mapping service predictive error. It is capable of visualising an arbitrary number of sense modalities. In M-DAD the visualisation performance is improved by utilising the relations between independent sense modalities as well as other parameters of the application domain.