ABSTRACT
A tremendous research effort is recently focused on developing intelligent environments based on new achievements in artificial intelligence, ambient intelligence, and wireless sensor networks. Intelligent (or smart) environments are usually developed for indoor applications, like ambient assisted independent living of seniors or handicapped persons in their homes, but there is a need of intelligent support of various human activities also in outdoor spaces, e.g., in streets, forests, or in nature in general. However, such solutions are still very rarely developed and published. The purpose of the paper is, after a review of several existing solutions, to discuss possibilities for cloud-based solutions in outdoor intelligent environments, considering multi-agent models and a cloud-based solution scenario-based approach.
- Bourouis, A., Feham, M. and Bouchachia, A. 2012. A New Architecture of a Ubiquitous Health Monitoring System: A Prototype of Cloud Mobile Health Monitoring System. IJCSI International Journal of Computer Science Issues, 9, 2, 2012: 434--438.Google Scholar
- Buyya, R., Yeo, C., Venugopal, S., Broberg, J. and Brandic, I. 2009. Cloud computing and emerging IT platforms: vision, hype, and reality for delivering computing as the 5th utility. Future Generation Computer Systems 25 (6) (2009) 599--616. Google ScholarDigital Library
- Cech, P. and Bures, V. 2007. Recommendation of Web Resources for Academics - Architecture and Components, In 3rd International Conference on Web Information Systems and Technologies, INSICC, Barcelona, 2007: 437--440.Google Scholar
- Choi, M., Park, J. and Jeong, Y.-S. 2013. Mobile cloud computing framework for a pervasive and ubiquitous environment. J Supercomput (2013) 64:331--356. Google ScholarDigital Library
- Cook, D. J., Augusto, J. C. and Jakkula, V. R. 2009. Ambient Intelligence: Technologies, Applications, and Opportunities. Pervasive and Mobile Computing (2009) 5: 277--298. Google ScholarDigital Library
- Corke, P. et al. 2010. Environmental wireless sensor networks. In Proceedings of the IEEE, Vol. 98, No. 11, 2010: 1903--1917.Google Scholar
- Ducatel, K., et al., 2001. Scenarios for Ambient Intelligence in 2010: Final Report. Seville, Spain, Information Society Technologies Advisory Group, {online} Available at <ftp://ftp.cordis.lu/pub/ist/docs/istagscenarios2010.pdf>, {Accessed 7 June 2011}.Google Scholar
- Efstratiou, Ch. 2010. Challenges in Supporting Federation of Sensor Networks. In NSF/FIRE Workshop on Federating Computing Resources.Google Scholar
- Fernando, N. et al. 2013. Mobile cloud computing: a survey, Future Generation Computer Systems 29 (1) (2013) 84--106. Google ScholarDigital Library
- Forkan, A., Khalil, I. and Tari, Z. 2014. CoCaMAAL: A cloud-oriented context-aware middleware in ambient assisted living. Future Generation Computer Systems 35 (2014) 114--127. Google ScholarDigital Library
- Fortino, G., Parisi, D., Pirrone, V. and Di Fatta, G. 2014. BodyCloud: A SaaS approach for community Body Sensor Networks. Future Generation Computer Systems 35 (2014) 62--79. Google ScholarDigital Library
- García-Peñalvo, F. J. et al. 2014. Informal learning recognition through a cloud ecosystem. Future Generation Computer Systems 32 (2014) 282--294. Google ScholarDigital Library
- Kannan, S., Gavrilovska, A. and Schwan, K. 2011. Cloud4Home --- Enhancing Data Services with @Home Clouds. In 31st International Conference on Distributed Computing Systems, IEEE Press, 2011: 539--548. Google ScholarDigital Library
- Liu, R. and Wassell, I. J. 2011. Opportunities and Challenges of Wireless Sensor Networks Using Cloud Services. In ACM CoNEXT 2011, December 6 - 9, 2011, Tokyo, Japan. Google ScholarDigital Library
- Lomotey, R. K. and Deters, R. 2013. CSB-UCC: Cloud Services Brokerage for Ubiquitous Cloud Computing. In MEDES'13, (Neumünster Abbey, Luxembourg, October 29--31, 2013) 100--107. Google ScholarDigital Library
- Mikulecky, P. 2007. Ambient Intelligence in Decision Support. In Proceedings of the 7th International Conference Strategic Management and Its Support by Information Systems (J. Kaluza, ed.), 2007: 48--57.Google Scholar
- Mikulecky, P. 2012. User Adaptivity in Smart Environments. In Intelligent Information and Database Systems (ACIIDS 2012), Pt. II, Lecture Notes in Artificial Intelligence, Vol. 7197, pp. 401--410, Springer, 2012. Google ScholarDigital Library
- Mikulecky, P., Cimler, R. and Olsevicova, K.. 2012. Outdoor Large-scale Ambient Intelligence. In Proc. 19th IBIMA Conference (Soliman, K. S., ed.), Barcelona, IBIMA, 2012: 1840--1842.Google Scholar
- Mikulecky, P., Ponce, D. and Toman, M. 2003. A knowledge-based decision support system for river basin management. In River Basin Management II (Brebbia, C. A., ed.), Progress in Water Resources Vol. 7, WIT Press, 2003: 177--185.Google Scholar
- Mikulecky, P., Ponce, D. and Toman, M. 2003. A knowledge-based solution for river water resources management. In Water Resources Management II, Progress in Water Resources Vol. 8, WIT Press, 2003: 451--458.Google Scholar
- O'Hare, G. M. P. and O'Grady, M. J. 2003. Gulliver's Genie: a multi-agent system for ubiquitous and intelligent content delivery, Computer Communications (2003) 26: 1177--1187. Google ScholarDigital Library
- Ochoa, S. F. and López-de-Ipińa, D. 2014. Distributed solutions for ubiquitous computing and ambient intelligence (Editorial). Future Generation Computer Systems 34 (2014) 94--96. Google ScholarDigital Library
- Pandey, S., Voorsluys, W., Niu, S., Khandoker, A. and Buyya, R. 2012. An autonomic cloud environment for hosting ECG data analysis services, Future Generation Computer Systems 28 (1) (2012) 147--151. Google ScholarDigital Library
- Takata, K. et al. 2005. Designing a Context-Aware System to Detect Dangerous Situations in School Routes for Kids Outdoor Safety Care. In L. T. Yang et al. (Eds.): EUC 2005, LNCS 3824, Berlin: Springer, 2005: 1016--1025. Google ScholarDigital Library
- V. Vescoukis, et al. 2012. A service oriented architecture for decision support systems in environmental crisis management, Future Generation Computer Systems 28 (2012) 593--604. Google ScholarDigital Library
- Vlcek, P. 2007. SW Tools for Modelling in Projects in Public Administration. In Proceedings of the 7th International Conference Strategic Management and Its Support by Information Systems (J. Kaluza, ed.), pp. 123--130, 2007.Google Scholar
- Wang, X. Zhao, X., Liang, Z. and Tan, M. 2007. Deploying a Wireless Sensor Network on the Coal Mines. In Proc. of the 2007 IEEE International Conference on Networking, Sensing and Control, London, UK, 2007: 324--328.Google ScholarCross Ref
- Werner-Allen, G. et al. 2006. Deploying a wireless sensor network on an active volcano. IEEE Internet Computing, 10(2), 2006: 8--25. Google ScholarDigital Library
- Zapater, M. et al. 2014. A novel energy-driven computing paradigm for e-health scenarios, Future Generation Computer Systems 34 (2014) 138--154. Google ScholarDigital Library
Index Terms
- Cloud-based solutions for intelligent environments
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