Mikael Asplund, Trishan R. De Lanerolle, Christopher Fei, Prasanna Gautam, Ralph A. Morelli, Simin Nadjm-Tehrani, et al. (2010). Wireless ad hoc dissemination for search and rescue. In C. Zobel B. T. S. French (Ed.), ISCRAM 2010 – 7th International Conference on Information Systems for Crisis Response and Management: Defining Crisis Management 3.0, Proceedings. Seattle, WA: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: In search and rescue scenarios local information on victims and other finds needs to be disseminated rapidly to other rescue workers and team leaders. However, post disaster scenarios may imply the collapse of information infrastructure including cellular communication and Internet connectivity. Even if we consider wireless ad hoc communication as a means of information dissemination we should count on frequent loss of connectivity in the network due to unpredictable mobility and sparse network topologies. In this paper we present the realization of an existing manycast protocol (random walk gossip) on commodity handheld devices running the Android platform. This communication mode is used to demonstrate the potential for distributed information dissemination on victims and finds. The application layer is an adaptation of an existing surveying information tool (POSIT) which is now fully decentralized and relies on text communication to achieve energy efficiency.
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Rita Kovordanyi, Jelle Pelfrene, & Henrik Eriksson. (2014). Supporting Instructors? Decision Making in Simulator-Based Training for Crisis Management. In and P.C. Shih. L. Plotnick M. S. P. S.R. Hiltz (Ed.), ISCRAM 2014 Conference Proceedings ? 11th International Conference on Information Systems for Crisis Response and Management (pp. 225–234). University Park, PA: The Pennsylvania State University.
Abstract: Simulator-based training is often more information-intensive and mentally overloading―both for the trainees
and for the exercise staff―than a corresponding live exercise would be. In particular, massive amounts of data
are produced from the simulation core, and these data are often too detailed, and too low-level to be of direct use
for the human eye. The present paper describes a decision support system aimed at helping exercise instructors
maintain an overview of how the exercise is progressing and how the trainees are performing. The paper describes our experience with implementing a real-time, low-key decision support system employing complex event processing, with focus on meeting the special technical challenges that are associated with the novel approach of implementing high-end, real-time processing on a low-power, 6-inch, mobile Android platform.
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Nicholas Palmer, Roelof Kemp, Thilo Kielmann, & Henri Bal. (2012). RAVEN: Using smartphones for collaborative disaster data collection. In Z.Franco J. R. L. Rothkrantz (Ed.), ISCRAM 2012 Conference Proceedings – 9th International Conference on Information Systems for Crisis Response and Management. Vancouver, BC: Simon Fraser University.
Abstract: In this paper we describe our work in progress on RAVEN, a framework, which makes it possible to build applications for collaborative editing of structured data on Android. RAVEN offers developers compile time tools, which use only the schema to generate all database handling components, edit and list user interfaces, as well as those needed for data synchronization, significantly reducing development effort. In addition, RAVEN also offers the ability to do the same work, entirely at runtime, using only a smartphone. With RAVEN it is possible to construct data oriented applications on phone at any time, including during a disaster. Users can share their applications simply by sharing the database and corresponding schema. Thus, RAVEN enables completely decentralized application creation, sharing, and data distribution, avoiding issues of connectivity to centralized resources. In this paper we show that with RAVEN it is possible to construct a new application at runtime and compare the results with an equivalent custom-built application. © 2012 ISCRAM.
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