Utilizing next generation emerging technologies for enabling collective computational intelligence in disaster management

Nik Bessis*, Eleana Assimakopoulou, Mehmet E. Aydin, Fatos Xhafa

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

5 Citations (Scopus)

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 this chapter, we discuss how these could help coin and prompt future direction of their fit-to-purpose use in various real-world scenarios including the proposed case of disaster management. Within this context, we start with a brief overview of these technologies highlighting their applicability in various settings. In particular, we review the possible combination of next generation emerging technologies such as ad-hoc and sensor networks, grids, clouds, crowds and peer to peer with intelligence techniques such as multi-agents, evolutionary computation and swarm intelligence for augmenting computational intelligence in a collective manner for the purpose of managing disasters. We then conclude by illustrating a relevant model architecture and by presenting our future implementation strategy.

Original languageEnglish
Title of host publicationNext Generation Data Technologies for Collective Computational Intelligence
EditorsNik Bessis, Fatos Xhafa
Chapter19
Pages503-526
Number of pages24
DOIs
Publication statusPublished - 28 Apr 2011

Publication series

NameStudies in Computational Intelligence
Volume352
ISSN (Print)1860-949X

Fingerprint

Dive into the research topics of 'Utilizing next generation emerging technologies for enabling collective computational intelligence in disaster management'. Together they form a unique fingerprint.

Cite this