Advertisement

A Novel Wireless Context-Aware Network of Service Robot

  • Jianqi Liu
  • Qinruo Wang
  • Hehua YanEmail author
  • Bi Zeng
  • Caifeng Zou
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 260)

Abstract

With the improvement of sensors, intelligence and wireless communication technologies, the service robot is faced with a new rapid development opportunity, which can utilize pervasive computing of wireless network to sensing everything happened in whole context. This paper presents a novel service robot global context-aware network, and puts emphasis on four key issues, such as ultra wideband radio, wireless positioning technology, wireless body area network and dynamic Bayesian network.

Keywords

Service robot Wireless sensor network Wireless body area network Context-aware Dynamic bayesian network 

Notes

Acknowledgments

The authors would like to thank the Natural Science Foundation of Guangdong Province, China (No.9151009001000021, S2011010001155), the Ministry of Education of Guangdong Province Special Fund Funded Projects through the Cooperative of China (No. 2009B090300 341), the National Natural Science Foundation of China (No. 61262013), the High-level Talent Project for Universities, Guangdong Province, China (No. 431, YueCaiJiao 2011), and the Chinese Society of Vocational and Technical Education 2012–2013 scientific research and planning projects (NO. 204921) for their support in this research.

References

  1. 1.
    Chen M et al (2012) Machine-to-machine communications: architectures, standards, and applications. KSII Trans Int Inf Syst 6:480–497Google Scholar
  2. 2.
    Liu J et al (2012) Towards real-time indoor localization in Wireless sensor networks, in Computer and Information Technology (CIT), 2012 IEEE 12th international conference on 2012, pp. 877–884Google Scholar
  3. 3.
    Suo H et al (2012) Issues and challenges of wireless sensor networks localization in emerging applications, In: Proceedings of 2012 International Conference on Computer Science and Electronics Engineering, Hongzhou, pp 447–451Google Scholar
  4. 4.
    Wan J et al (2011) Advances in cyber-physical systems research. KSII Trans Int Inf Syst 5:1891–1908Google Scholar
  5. 5.
    Dargie W, Poellabauer C (2010) Fundamentals of wireless sensor networks: theory and practice: WileyGoogle Scholar
  6. 6.
    Fernandes JR, Wentzloff D (2010) Recent advances in IR-UWB transceivers: an overview, in Circuits and Systems (ISCAS). In: Proceedings of IEEE International Symposium on 2010, pp 3284–3287Google Scholar
  7. 7.
    Zhang S et al (2010) Accurate and energy-efficient range-free localization for mobile sensor networks. IEEE Trans Mobile Comput 9:897–910CrossRefGoogle Scholar
  8. 8.
    Priyantha NB et al (2001) The cricket compass for context-aware mobile applications. In: Proceedings of the 7th annual international conference on mobile computing and networking, pp 1–14Google Scholar
  9. 9.
    Harter A et al (2002) The anatomy of a context-aware application. Wireless Netw 8:187–197CrossRefzbMATHGoogle Scholar
  10. 10.
    Girod L, Estrin D (2001) Robust range estimation using acoustic and multimodal sensing, in Intelligent robots and systems. In: Proceedings IEEE/RSJ International Conference on 2001, pp 1312–1320Google Scholar
  11. 11.
    Girod L et al (2002) Locating tiny sensors in time and space: A case study, In: Computer design: VLSI in computers and processors, 2002. Proceedings of IEEE International Conference on 2002, pp 214–219Google Scholar
  12. 12.
    Lanzisera S et al (2006) RF time of flight ranging for wireless sensor network localization in intelligent solutions in embedded systems, 2006 International Workshop on 2006, pp 1–12Google Scholar
  13. 13.
    nanotron find. Available: http://www.nanotron.com/EN/PR_find.php
  14. 14.
    ubisense. Available: http://www.ubisense.net/
  15. 15.
    Hill R et al (2004) A middleware architecture for securing ubiquitous computing cyber infrastructures. IEEE Distrib Syst Online 5:1CrossRefGoogle Scholar
  16. 16.
    Mahfouz MR et al (2008) Investigation of high-accuracy indoor 3-D positioning using UWB technology. IEEE Trans Microw Theory Tech 56:1316–1330CrossRefGoogle Scholar
  17. 17.
    Chen M et al (2011) Body area networks: a survey. Mobile Netw Appli 16:171–193CrossRefGoogle Scholar
  18. 18.
    Chen M et al (2012) Machine-to-machine communications: architectures, Standards and applicationsGoogle Scholar
  19. 19.
    Ullah S et al (2012) A comprehensive survey of wireless body area networks, J Med Syst, vol 36, pp 1065–1094, 2012/06/01Google Scholar
  20. 20.
    O’Donovan T et al (2009) A context aware wireless body area network (BAN), In: Pervasive computing technologies for healthcare, 3rd International Conference on PervasiveHealth 2009, pp 1–8Google Scholar

Copyright information

© Springer Science+Business Media Dordrecht 2014

Authors and Affiliations

  • Jianqi Liu
    • 1
  • Qinruo Wang
    • 2
  • Hehua Yan
    • 1
    Email author
  • Bi Zeng
    • 2
  • Caifeng Zou
    • 1
  1. 1.Guangdong Jidian PolytechnicGuangzhouChina
  2. 2.Guangdong University of TechnologyGuangzhouChina

Personalised recommendations