Skip to main content
SpringerLink
Log in

Peer-to-Peer Based Web of Things Resource Management

  • Conference paper
  • First Online:
Complex, Intelligent, and Software Intensive Systems (CISIS 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 993))

Included in the following conference series:

  • 1688 Accesses

Abstract

More and more devices provide resources and services under the environment of Internet of Things (IoT). The location-based P2P distributed computing technology is adopted to implement the effective management of the Web of Things (WoT) resources, satisfying reliability, robustness and flexibility of the system. In order to effectively implement resource lookup in the context of massive resources, the probabilistic topic model is used to model IoT resource description and then the resulting topic model and geolocations are used as resource ID for resource storage and resource discovery, realizing distributed management of resources. And on this basis, the ROA style life cycle management for WoT resources under the P2P environment is provided. Finally, the feasibility of the system is proved by simulation experiments.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Y.2060: Overview of the Internet of things. https://www.itu.int/rec/T-REC-Y.2060-201206-I. Accessed on August 2018

  2. VladStirbu: Towards a restful plug and play experience in the web of things. In: IEEE International Conference on Semantic Computing, pp. 512–517 (2008)

    Google Scholar 

  3. Ostermaier, B., Kovatsch, M., Santini, S.: Connecting things to the web using programmable low-power WIFI modules. In: Proceedings of the Second International Workshop on Web of Things, pp. 1–6 (2011)

    Google Scholar 

  4. Balakrishnan, H., FransKaashoek, M., Karger, D., Morris, R., Stoica, I.: Looking up data in P2P systems. Commun. ACM 46(2), 43–48 (2003)

    Article  Google Scholar 

  5. Dahbi, A., Mouftah, H.T.: A hierarchical architecture for distributed EPCglobal discovery services. In: IEEE Global Communication Conference (GLOBECOM) 2015 (2015)

    Google Scholar 

  6. Moeini, H., Yen, I.-L., Bastani, F.: Efficient caching for peer-to-peer service discovery in internet of things. In: IEEE International Conference on Web Services, pp. 196–203 (2017)

    Google Scholar 

  7. He, Q., Yan, J., Yang, Y., Kowalczyk, R., Jin, H., Member, S.: A decentralized service discovery approach on peer-to-peer networks. Trans. Serv. Comput. 6, 64–75 (2013)

    Article  Google Scholar 

  8. Trifa, V., Guinard, D., Mayer, S.: Leveraging the web for a distributed location-aware infrastructure for the real world. In: Wilde, E., Pautasso, C. (eds.) REST: From Research to Practice. Springer (2011)

    Google Scholar 

  9. Namatame, N., Ding, Y., Riedel, T., Tokuda, H., Miyaki, T., Beigl, M.: A distributed resource management architecture for interconnecting web-of-things using uBox. In: Proceedings of the Second International Workshop on Web of Things, pp. 1–6 (2011)

    Google Scholar 

  10. Cirani, S., et al.: A scalable and self-configuring architecture for service discovery in the internet of things. IEEE Internet Things J. 1, 508–521 (2014)

    Article  Google Scholar 

  11. Chen, J.: Devify: decentralized internet of things software framework for a peer-to-peer and interoperable IoT device. SIGBED Rev. 15, 31–36 (2018)

    Article  Google Scholar 

  12. Montresor, A., Jelasity, M.: PeerSim: a scalable P2P simulator. In: 2009 IEEE Ninth International Conference on Peer-to-Peer Computing, pp. 99–100. Seattle, WA (2009)

    Google Scholar 

  13. Furlan, D., Bonani, M.: A Kademlia module for Peersim. http://peersim.sourceforge.net/code/kademlia.zip. Accessed on September 2018

  14. Baresi, L., Derakhshan, N., Guinea, S.: WiDiSi: A Wi-Fi direct simulator study. In: Proceedings of the 14th IEEE Wireless Communications and Networking Conference (WCNC 2016). Doha, Qatar, April 2016

    Google Scholar 

  15. Cirani, S., Picone, M., Veltri, L.: mjCoAP: an open-source lightweight Java CoAP library for internet of Things applications. In: 22nd International Conference on Software, Telecommunications and Computer Networks, SoftCOM, Split, Croatia (2014)

    Google Scholar 

  16. Californium. https://www.eclipse.org/californium/. Accessed on October 2019

Download references

Acknowledgments

This work was funded by the National Natural Science Foundation of China (No. 61502246), and the Research Project of Nanjing University of Posts and Telecommunications (No. XK0160915170).

Author information

Authors and Affiliations

  1. Jiangsu Key Laboratory of Broadband Wireless Communication and Internet of Things, Nanjing University of Posts and Telecommunications, Nanjing, 210003, People’s Republic of China

    Yangqun Li

  2. School of Internet of Things, Nanjing University of Posts and Telecommunications, Nanjing, 210003, People’s Republic of China

    Yangqun Li

Authors
  1. Yangqun Li
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Yangqun Li .

Editor information

Editors and Affiliations

  1. Department of Information and Communication Engineering, Fukuoka Institute of Technology, Faculty of Information Engineering, Fukuoka, Japan

    Leonard Barolli

  2. School of Software, University of Technology Sydney (UTS), Ultimo, NSW, Australia

    Farookh Khadeer Hussain

  3. Department of Information and Communication Engineering, Fukuoka Institute of Technology, Faculty of Information Engineering, Fukuoka, Japan

    Makoto Ikeda

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Li, Y. (2020). Peer-to-Peer Based Web of Things Resource Management. In: Barolli, L., Hussain, F., Ikeda, M. (eds) Complex, Intelligent, and Software Intensive Systems. CISIS 2019. Advances in Intelligent Systems and Computing, vol 993. Springer, Cham. https://doi.org/10.1007/978-3-030-22354-0_36

Download citation

Publish with us

Policies and ethics

Search

Navigation