Conti, M. and Das, S.K. and Bisdikian, C. and Kumar, M. and Ni, L.M. and Passarella, A. and Roussos, George and Tröster, G. and Tsudik, G. and Zambonelli, F. (2012) Looking ahead in pervasive computing: challenges and opportunities in the era of cyber-physical convergence. Pervasive and Mobile Computing 8 (1), pp. 2-21. ISSN 1574-1192.
Abstract
The physical environment is becoming more and more saturated with computing and communication entities that interact among themselves, as well as with the users: virtually everything will be enabled to source information and respond to appropriate stimuli. In this technology-rich scenario, real-world components interact with the cyberspace via sensing, computing and communication elements, thus driving towards what is called the Cyber-Physical World (CPW) convergence. Information flows from the physical to the cyber world, and vice-versa, adapting the converged world to human behaviour and social dynamics. Indeed humans are at the centre of this converged world since information about the context in which they operate is the key element to adapt the CPW applications and services. Alongside, a new wave of (human) social networks and structures are emerging as important drivers for the development of novel communication and computing paradigms. In this article we present some of the research issues, challenges and opportunities in the convergence between the cyber and physical worlds. This article is not a comprehensive survey of all aspects of the CPW convergence. Instead, it presents some exciting research challenges and opportunities identified by members of the journal’s editorial board with a goal to stimulate new research activities in the emerging areas of CPW convergence.
Metadata
Item Type: | Article |
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Keyword(s) / Subject(s): | Pervasive computing, Cyber-physical convergence, Self-*, Social networks, Wearable computing, Opportunistic networking and computing, Data storage, Quality of Information, Cyber-world security |
School: | Birkbeck Faculties and Schools > Faculty of Science > School of Computing and Mathematical Sciences |
Research Centres and Institutes: | Birkbeck Knowledge Lab |
Depositing User: | Administrator |
Date Deposited: | 31 Oct 2011 10:58 |
Last Modified: | 09 Aug 2023 12:31 |
URI: | https://eprints.bbk.ac.uk/id/eprint/4268 |
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