Social networking for pervasive adaptation

Allen, Stuart Michael ORCID: https://orcid.org/0000-0003-1776-7489, Conti, M., Crowcroft, J., Dunbar, R., Lio', P., Mendes, J. F., Molva, R., Passarella, A., Stavrakakis, I. and Whitaker, Roger Marcus ORCID: https://orcid.org/0000-0002-8473-1913 2008. Social networking for pervasive adaptation. Presented at: Second IEEE International Conference on Self-Adaptive and Self-Organizing Systems Workshops, Venice, Italy, 20-24 October 2008. Published in: Di Marzo Serugendo, G. and Gleizes, M. - P. eds. Proceedings of the 2nd IEEE International Conference on Self-Adaptive and Self-Organizing Systems Workshops (SASOW 2008), Venice, Italy, 20-24 October 2008. Los Alamitos, CA: Institute of Electrical and Electronics Engineers, pp. 49-54. 10.1109/SASOW.2008.34

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Abstract

As technology progresses, we are seeing increasing numbers of small devices that have the capability to store, process and forward information in our everyday physical environments. Increasingly, this is opening up the opportunity to generate, collect and communicate new knowledge and information in diverse aspects of human life. However this raises significant challenges for communication and content acquisition, as new levels of flexibility, adaptation and dynamism are required. In particular, the traditional notion of always-on end-to-end network connectivity becomes inappropriate, and radical rethinking is necessary. The EU FET project social networking for pervasive adaptation (SOCIALNETS) seeks to overcome these challenges by understanding, modelling and exploiting the key characteristics that enable humans to adapt and exhibit agility beyond other species. Through developing the capacity for devices to socially network, we believe that there is significant potential to facilitate highly effective pervasive communication and content provision.

Item Type:	Conference or Workshop Item (Paper)
Date Type:	Publication
Status:	Published
Schools:	Computer Science & Informatics Systems Immunity Research Institute (SIURI)
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Uncontrolled Keywords:	ad-hoc networks , opportunistic networks , social networks
Publisher:	Institute of Electrical and Electronics Engineers
ISBN:	9780769535531
Last Modified:	19 Oct 2022 09:08
URI:	https://orca.cardiff.ac.uk/id/eprint/20102

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