Title: A next generation emerging technologies roadmap for enabling collective computational intelligence in disaster management
Authors: Nik Bessis, Eleana Asimakopoulou, Fatos Xhafa
Addresses: School of Computing and Mathematics, University of Derby, Kedleston Road, Derby, DE22 1GB, UK; Department of Computer Science and Technology, University of Bedfordshire, Park Square, Luton, LU1 3JU, UK. ' Department of Computer Science and Technology, University of Bedfordshire, Park Square, Luton, LU1 3JU, UK. ' Departament de Llenguatges i Sistemes Informatics, Universitat Politecnica de Catalunya, Barcelona, Campus Nord, Ed. Omega, C/Jordi Girona 1-3, 08034, Spain
Abstract: Much work is underway within the broad next generation emerging technologies community on issues associated with the development of services to foster synergies and collaboration via the integration of distributed and heterogeneous resources, systems and technologies. In previous works, we have discussed how these could help coin and prompt future direction of their fit-to-purpose use in various real-world scenarios including but not limited to disaster management, healthcare, vehicular networking and knowledge cities. In this exploratory paper, we brief and then build upon our previous works and specifically, we present a roadmap highlighting the possible use of next generation emerging technologies for enabling collective computational intelligence in managing disaster situations. A relevant scenario is used to illustrate the model architecture, as well as to detail the proposed roadmap.
Keywords: collective intelligence; computational intelligence; mobile ad-hoc networks; MANETs; grid computing; cloud computing; crowds; collaboration; pervasive computing; sensors; situated computing; disaster management; knowledge cities; smart environments; next generation emerging technologies; roadmap; mobile networks; emergency management.
International Journal of Space-Based and Situated Computing, 2011 Vol.1 No.1, pp.76 - 85
Published online: 26 Mar 2015 *Full-text access for editors Access for subscribers Purchase this article Comment on this article