TY - CHAP
T1 - Utilizing next generation emerging technologies for enabling collective computational intelligence in disaster management
AU - Bessis, Nik
AU - Assimakopoulou, Eleana
AU - Aydin, Mehmet E.
AU - Xhafa, Fatos
PY - 2011/4/28
Y1 - 2011/4/28
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=79960968715&partnerID=8YFLogxK
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U2 - 10.1007/978-3-642-20344-2_19
DO - 10.1007/978-3-642-20344-2_19
M3 - Chapter
AN - SCOPUS:79960968715
SN - 9783642203435
T3 - Studies in Computational Intelligence
SP - 503
EP - 526
BT - Next Generation Data Technologies for Collective Computational Intelligence
A2 - Bessis, Nik
A2 - Xhafa, Fatos
ER -