Distributed service integration for disaster monitoring sensor systems

Sensor networks have the potential to revolutionise the capture, processing and communication of critical data for use of disaster rescue and relief. 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 study, the authors 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 performance and reliability of the approach has been evaluated using simulations in a dynamic environment and demonstrated through developing and testing a demonstration system for a scenario of disaster area monitoring.