Smart Space Model for Facilitating Dynamic Service Binding

  • Changgyu Bak
  • Euna Choi
  • Jung-Won Lee
  • Nammee Moon
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 114)


In ubiquitous smart space, identification of the device’s location as well as human is essential to provide dynamic services. Dynamic service binding depends on what service is available, where the service is requested, and which devices can support the service. However, most of research considers that the space is just the plane and the device’s location is represented by the coordinates (x, y) rather than the spaces such as a living room or a kitchen. Therefore, the post-processing is needed to integrate the above three kinds of information. In this paper, we propose a smart space model for dynamic service providing and the method for managing the device’s location. For this, we developed an embedded system called a space manager and deployed it to our test bed for u-Home. As a result, we showed that our smart space model enabled to manage the multiple spaces and devices effectively.


Intelligent space Device location awareness Ubiquitous computing Dynamic service binding 



This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education, Science and Technology (2011-0005305).


  1. 1.
    Feng Z, Mutka MW, Lionel MN (2005) Service discovery in pervasive computing environments. IEEE Pervasive Comput 4(4):81–90CrossRefGoogle Scholar
  2. 2.
    Chakraborty D, Perich F, Joshi A, Yesha Y (2002) A reactive service composition architecture for pervasive computing environments. In: Proceedings of the 7th Personal Wireless Communications Conference, pp 53–62Google Scholar
  3. 3.
    Haruhiko N, Kerni K, Yoshihiro S, Masaumi O, Seiji K, Kenjirou F., Yuki K., Shugeki S (2008) GPS-based indoor positioning system with multi-channel pseudolite. In: Proceedings of the IEEE International Conference on Robotics and Automation, pp 905–910Google Scholar
  4. 4.
    Kim H, Choi J (2008) Advanced indoor localization using ultrasonic sensor and digital compass. In: Proceedings of the International Conference on Control, Automation and Systems, pp 223–226Google Scholar
  5. 5.
    Huang Chiming, Cheng Rei-Heng, Chen Shau-Ruei, Li Chung-I (2011) Enhancing network availability by tolerance control in multi-sink wireless sensor networks. JoC 1(1):15–22Google Scholar
  6. 6.
    Imani Mohsen, Taheri Mahdi, Naderi M (2011) Security enhanced routing protocol for ad hoc networks. JoC 1(1):43–48Google Scholar
  7. 7.
    Kryvinska Natalia, Thanh Do Van (2011) Christine strauss, integrated management platform for seamless services provisioning in converged network. IJITCC 1(1):77–91CrossRefGoogle Scholar
  8. 8.
    Kumar Dilip, Aseri Trilok C, Patel RB (2011) Multi-hop communication routing (MCR) protocol for heterogeneous wireless sensor networks. IJITCC 1(2):130–145CrossRefGoogle Scholar
  9. 9.
    Malkani YA, Dhomeja LD (2009) Location aware device discovery for physically contains environments. In: Proceedings of the 2nd International Conference on Computer, Control and Communication, pp 1–5Google Scholar
  10. 10.
    Masashi S, Tomonori K, Yoshikazu O, Masatuki M (2006) Indoor localization system using RSSI measurement of wireless sensor network based on zigbee standard. In: Proceedings of the IASTED International Conference on Wireless Sensor Networks, pp 188–193Google Scholar
  11. 11.
    Cheng Y (2009) Using ZigBee and room-based location technology to constructing an indoor location based service. In: Proceedings of 2nd International Conference on Intelligent Information Hiding and Multimedia Signal Processing, pp 803–806Google Scholar
  12. 12.
    Whole Building Design Guide a program of the National Institute of Building Science,
  13. 13.
    Lee M, Lee J, Park S, Cho W (2010) SOA-based service layering for facilitating dynamic service composition and alternative service discovery. J Inf Sci Eng 26(3):991–1010Google Scholar
  14. 14.
    Choi E, Bak C, Kim S, Lee J (2009) Development of a space manager for ubiquitous smart space. In: Proceedings of the 36th Korea Computer Congress 36(1):256–261Google Scholar

Copyright information

© Springer Science+Business Media B.V. 2012

Authors and Affiliations

  • Changgyu Bak
    • 1
  • Euna Choi
    • 1
  • Jung-Won Lee
    • 1
  • Nammee Moon
    • 2
  1. 1.Deptartment of Electrical and Computer EngineeringAjou UniversitySuwonKorea
  2. 2.Deptartment of IT App. Tech. GSVHoseo UniversitySeoulKorea

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