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Raffaele Bruno, Marco Conti, & Andrea Passarella. (2008). Opportunistic networking overlays for ICT services in crisis management. In B. V. de W. F. Fiedrich (Ed.), Proceedings of ISCRAM 2008 – 5th International Conference on Information Systems for Crisis Response and Management (pp. 689–701). Washington, DC: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: ICT infrastructures are a critical asset in today's Information society. Legacy telecommunication systems easily collapse in the face of disruptions due to security incidents or natural disasters. Hence, there is an urgent demand for new architectures and technologies ensuring a more efficient and dependable support for various security missions, such as disaster relief initiatives, first responder operations, critical infrastructure protection, etc. In this paper we advocate the opportunistic networking paradigm to build a self-organizing overlay ICT infrastructure for supporting dependable crisis management services. Our opportunistic framework to “glues together” surviving parts of the pre-existing infrastructure with networks deployed on-demand and users devices, and supports dependable distribution of coherent, updated, and non-contradictory information distribution. Finally, to show the potential advantages of our solution, we present initial results on the performance of different types of opportunistic infrastructures, by particularly highlighting the gains of context-aware systems.
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Maarten Van Someren, Niels Netten, Vanessa Evers, Henriette Cramer, Robert De Hoog, & Guido Bruinsma. (2005). A trainable information distribution system to support crisis management. In B. C. B. Van de Walle (Ed.), Proceedings of ISCRAM 2005 – 2nd International Conference on Information Systems for Crisis Response and Management (pp. 203–206). Brussels: Royal Flemish Academy of Belgium.
Abstract: Crisis response and management involve multiple collaborative actors who execute tasks in a dynamic setting. For the effectiveness of collaboration and crisis fighting it is essential that all actors have access to relevant information necessary for their tasks. Managing the information flow, i.e. presenting the right information to the right person at the right time, is of great importance. However, the complexity of a crisis event makes it very difficult to keep an overview of all ongoing activities and information flow within the entire crisis environment. In this paper we address the problem of selecting and distributing information to users as a function of their characteristics, tasks and the state of their workflows in a collaborative setting. In particular, we propose a trainable system for information distribution that will be able to support the dynamic nature of collaborative processes and provide users with task-relevant information. We expect that this will reduce problems due to information overload and will lead to more effective collaboration between all actors in the crisis management environment.
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