Advertisement

Ambient Intelligence in Smart City Environments: Topologies and Information Architectures

  • Kelvin Joseph BwalyaEmail author
Chapter
Part of the Computer Communications and Networks book series (CCN)

Abstract

Many cities around the world have embarked on ambitious programmes towards creating Smart Cities where information, diverse digital opportunities, and collective intelligence can be harnessed ubiquitously. Smart Cities are conceptualized using citywide smart and intelligent architectures informed by the context in which they are implemented. These architectures make it possible to access information and intelligence anywhere and at any time. Information processing and computing is embedded within the urban infrastructures to a point where immovable city entities such as traffic lights are more intelligent to make real-time decisions based on the happenings in the environment in which they are deployed. Advanced development of ambient computing within the realm of Smart Cities will further culminate into possibilities such as vehicle-to-vehicle communication (V2V) and mobile-to-mobile (M2M) communication. Using extensive and critical literature review, this chapter specifically focusses on the design of information architectures that will ultimately support the enshrining of spatial intelligence within Smart City environments hinged on the internet of things (IoT) and cloud/fog computing. The chapter presents latest trends in the research and practice of ambient intelligence (AmI) linked to the realization of the key principles of Smart Cities from the information topology and architecture point of view. A conceptual ambient intelligence architecture that highlights the building blocks of any ambient intelligence architecture as deployed in Smart City environments is also proposed. The proposed conceptual architecture can be used as a blueprint in the design of ambient intelligence topologies and architectures in different contextual settings.

Keywords

Ambient intelligence Architecture Topology Smart City Information architecture AmI basic architecture Sensing V2V M2M Context awareness 

References

  1. 1.
    Augusto JC, Nakashima H, Aghajan H (2010) Ambient Intelligence and smart environments: state of the art. In: Nakashima H et al (eds) Handbook of ambient intelligence and smart environments.  https://doi.org/10.1007/978-0-387-93808-0_1, © Springer Science+Business Media, LLC 2010. https://pdfs.semanticscholar.org/f585/8c4ddd20fcf3854508d67bcd8d12d44007e1.pdfCrossRefGoogle Scholar
  2. 2.
    Resmini A, Rosati L (2011) Pervasive information architecture: designing cross-channel user experiences. Morgan Kaufmann Publishers, MassachusettGoogle Scholar
  3. 3.
    Ohlin F (2012) The role of information architecture in context-aware adaptive systems. J Inf Archit 4(1–2):28–37Google Scholar
  4. 4.
    Guesgen HW, Marsland S (2011) Recognising human behaviour in a spatio-temporal context. IGI-Global, USA. http://www.irma-international.org/viewtitle/54670/
  5. 5.
    Punie Y (2003) A social and technological view of Ambient Intelligence in everyday life: what bends the trend? Joint Research Centre (DG JRC), Institute for Prospective Technological Studies. http://www.jrc.es
  6. 6.
    Cook DJ, Augusto JC, Jakkula VR (2009) Ambient Intelligence: technologies, applications, and opportunities. Pervasive Mobile Comput 5(4):277–298CrossRefGoogle Scholar
  7. 7.
    Böhlen M, Frei H (2010) Ambient Intelligence in the city overview and new perspectives. In: Nakashima H, Aghajan H, Augusto JC (eds) Handbook of ambient intelligence and smart environments. Springer, BostonGoogle Scholar
  8. 8.
    Ramos C (2007) Ambient Intelligence—a state of the art from artificial intelligence perspective. In: Proceedings of the 13th Portuguese conference artificial intelligence workshops, LNAI 4874. Springer, pp 285–295Google Scholar
  9. 9.
    Lekova A (2012) Exploiting mobile ad hoc networking and knowledge generation to achieve Ambient Intelligence. Appl Comput Intell Soft Comput 2012, Article ID 262936, 6 pages.  https://doi.org/10.1155/2012/262936CrossRefGoogle Scholar
  10. 10.
    Moawad A (2016) Towards ambient intelligent applications using models@run.time and machine learning for context-awareness. Unpublished PhD thesis, Université du Luxembourg. https://orbilu.uni.lu/bitstream/10993/23746/1/thesis.pdf
  11. 11.
    Lea R (2017) Smart Cities: an overview of technology trends driving smart cities. https://www.ieee.org/publications_standards/publications/periodicals/ieee-smart-cities-trend-paper-2017.pdf. Accessed 21 Sep 2017
  12. 12.
    Nfuka EN, Rusu L (2010) Critical success factors for effective IT governance in the public sector organization in a developing: the case of Tanzania. In: Proceeding of the 18th European conference on information systems (ECIS), Pretoria, South Africa, June 7–9Google Scholar
  13. 13.
    Asimakopoulou E, Bessis N (2011) Buildings and crowds: forming Smart Cities for more effective disaster management. In: 5th international conference on innovative mobile and internet services in the ubiquitous computingGoogle Scholar
  14. 14.
    Dlodlo N, Mbecke P, Mofolo M and Mhlanga M (2013), The internet of things in community safety and crime prevention in South Africa. In: International joint conference computers, information and systems sciences and engineering CISSE 2013. University of Bridgeport, USAGoogle Scholar
  15. 15.
    Gil-Garcia JR, Pardo TA, Nam T (eds) (2016) Exploring the nature of the smart cities research landscape. In: Smarter as the new urban agenda a comprehensive view of the 21st century city. Springer International Publishing, Switzerland, pp 23–32Google Scholar
  16. 16.
    Paroutis S, Bennett M, Heracleous L (2014) A strategic view on smart city technology: the case of IBM smarter cities during a recession. Technol Forecast Soc Change Int J 89:262–272CrossRefGoogle Scholar
  17. 17.
    Hall RE (2000) The vision of a smart city. In: Proceedings of the 2nd international life extension technology workshop. Paris, FranceGoogle Scholar
  18. 18.
    Harrison C, Eckman B, Hamilton R, Hatswick P, Kalagnanam J, Paraszczak J, Williams P (2014) Foundations of smarter cities. IBM J Res Dev 54(4):1–16CrossRefGoogle Scholar
  19. 19.
    Singhal M, Shukla A (2012) Implementation of location based services in Android using GPS and Web services. IJCSI Int J Comput Sci Issues 9:237–242Google Scholar
  20. 20.
    Lobo P, Acharya S, D’Souza RO (2017) Quality of service for MANET based smart cities. Int J Adv Comput Eng Netw 5(2) ISSN: 2320-2106Google Scholar
  21. 21.
    Aloi G, Bedogni L, Di Felice M, Loscrì V, Molinaro A, Natalizio E, Pace P, Ruggeri G, Trotta A, Zema NR (2014) STEM-Net: an evolutionary network architecture for smart and sustainable cities. Trans Emerg Telecommun Technol 25:21–40CrossRefGoogle Scholar
  22. 22.
    Chong N-Y, Mastrogiovanni F (eds) (2011) Handbook of research on Ambient Intelligence and smart environments: trends and perspective. IGI-Global, USA. https://www.igi-global.com/book/handbook-research-ambient-intelligence-smart/41775
  23. 23.
    Dey N, Ashour AS (2017) Ambient Intelligence in healthcare: a state-of-the-art. Glob J Comput Sci Technol 17(3):18–25Google Scholar
  24. 24.
    Kehinde A, Adesina A, Daniel E, Dele S (2012) Agent-based context-aware healthcare information retrieval using dropt approach. Int J Invent Res (IJIR) 5(2):109–118Google Scholar
  25. 25.
    Bosse T, Hoogendoorn M, Klein CA, Treur J (2008) A generic architecture for human-aware ambient computing, Atlantis Press Book −9.75in × 6.5in ABUCbook (Sept 30, 2008 13:18)Google Scholar
  26. 26.
    De Paola A (2011) A cognitive architecture for Ambient Intelligence. Unpublished PhD thesis. http://www.diid.unipa.it/networks/ndslab/pdf/phd/phD-thesis-depaola.pdf
  27. 27.
    Curran K (2015) Recent advances in Ambient Intelligence and context-aware computing. In: Curran K (ed) Advances in computational intelligence and robotics (ACIR) book series. IGI Global, USAGoogle Scholar
  28. 28.
    Bauer JS, Newman MW, Kientz JA (2014) Thinking about context: design practices for information architecture with context-aware systems. In: iConference 2014 proceedings, pp 398–411.  https://doi.org/10.9776/14116
  29. 29.
    Paz-Lopez A, Varela G, Vazquez-Rodriguez S, Becerra J-A, Duro RJ (2010) Integrating Ambient Intelligence technologies using an architectural approach. http://www.gii.udc.es/img/gii/files/integrating_ambient_intelligence_technologies_using_an_architectural_approach.pdfGoogle Scholar
  30. 30.
    Newell A, Simon HA (1963) GPS, a program that simulates human thought. In: Feigenbaum E, Feldman J (eds) Computers and thought. McGraw-Hill, New YorkGoogle Scholar
  31. 31.
    Tapia TI, De Paz Y, Bajo J (2009) Ambient Intelligence based architecture for automated dynamic environments. In: Proceedings of the 10th international work-conference on artificial neural networks: Part 1: bio-inspired systems: computational and Ambient Intelligence, pp 171–180. https://bisite.usal.es/archivos/caepia_context_aware_v.7.pdf
  32. 32.
    Sukhatme GS, Villasenor J, Estrin D (2003) Networked infomechanical systems (NIMS) for Ambient Intelligence. UCLA Center for Embedded Networked Sensing, Technical Report 31, Dec 2003Google Scholar
  33. 33.
    Mitton N, Papavassiliou S, Puliafito A, Trivedi KS (2012) Combining cloud and sensors in a smart city environment. EURASIP J Wirel Commun Netw 247:1–10Google Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Information and Knowledge Management, School of Consumer and Information SystemsUniversity of JohannesburgJohannesburgSouth Africa

Personalised recommendations