Enabling dynamic workflow for disaster monitoring and relief through service-oriented sensor networks

Natural and man-made disasters can significantly impact both people and environments. Sensor networks have the potential to revolutionize the capture, processing and communication of critical data for use of disaster rescue and relief [1]. In order to provide a dependable rescue capability through dynamically integrating newly developed and legacy sensor systems with other systems and computing, new methodologies are required for the dependable integration of services in heterogeneous environments. In this paper, we present a new architectural model which can proactively self-adapt to changes and evolution occurring in the provision of search and rescue capabilities in a dynamic environment. This approach has been demonstrated through developing and testing a demonstration system for a scenario of disaster area monitoring.