Skip to main content

An Adaptive Sensor Management System

  • Conference paper
  • First Online:
Information Technology - New Generations

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 558))

  • 3183 Accesses

Abstract

This paper proposes an adaptive sensor management system which consists of five main components, including the Sensor Web Interface, Request Dispatcher, Publish/ Subscribe Management, Communication Converter and Message Broker. The Request Dispatcher can automatically allocate the tasks of Sensor Web to each module as the service requested. The Communication Converter let the Message Broker handle the operations of Sensor Web, notify sensors and modify the information of sensors through the Sensor Web Interface. Two sensor control methods are defined for publication and subscription. The experimental results by the designed prototype system show that this system can effectively perform sensor management.

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

Access this chapter

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
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover 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. Sensor Web Enablement. http://www.opengeospatial.org/ogc/markets-technologies/swe

  2. MQTT. http://mqtt.org/

  3. Ala, F., Abdallah, K., Mohsen, G., Ammar, R., & Mehdi, M. (2015, September). Toward better horizontal integration among IoT services. IEEE Communications Magazine, 53(9), 72–79.

    Google Scholar 

  4. Rouached, M., Baccar, S., & Abid, M. (2012, June). RESTful sensor web enablement services for wireless sensor networks. Proceedings of the IEEE Eighth World Congress on Services, pp. 65–72.

    Google Scholar 

  5. Al-Fuqaha, A., Guizani, M., Mohammadi, M., Aledhari, M., & Ayyash, M. (2015, November). Internet of Things: A survey on enabling technologies, protocols, and applications. IEEE Communications Surveys & Tutorials, 17(4), 2347–2376.

    Article  Google Scholar 

  6. CoAP. http://coap.technology/

  7. Thangavel, D., Ma, X., Valera, A., Tan, H. X., & Tan, C. K. Y. (2014, April). Performance evaluation of MQTT and CoAP via a common middleware. Proceedings of the 9th IEEE International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP), pp. 1–6.

    Google Scholar 

  8. Jo, H. C., & Jin, H. W. (2015, August). Adaptive periodic communication over MQTT for large-scale cyber-physical systems. Proceedings of the IEEE 3rd International Conference on Cyber-Physical Systems, Networks, and Applications, pp. 66–69.

    Google Scholar 

  9. Shah, M. A., & Kulkarni, D. B. (2015, May). Storm pub-sub: High performance, scalable content based event matching system using storm. Proceedings of the IEEE Parallel and Distributed Processing Symposium Workshop, pp. 585–590.

    Google Scholar 

  10. Liu, Q., Mao, S., Li, M., & Li, X. (2014, June). Release and storage of mine gas monitoring data based on sensor web. Proceedings of the 22nd international conference on Geo Informatics, 2014, pp. 1–6.

    Google Scholar 

  11. Fazio, M., & Puliafito, A. (2015, March). Cloud4sens: A cloud-based architecture for sensor controlling and monitoring. Communications Magazine, 53(3), 41–47.

    Article  Google Scholar 

  12. Mosquitto. http://mosquitto.org/

Download references

Acknowledgement

The authors would like to thank the Ministry of Science and Technology of Republic of China for financially supporting this research under Contract No. 104-2221-E-035-020-.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Chyi-Ren Dow .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer International Publishing AG

About this paper

Cite this paper

Dow, CR., Wu, YZ., Lu, B., Hwang, SF., Young, F.F. (2018). An Adaptive Sensor Management System. In: Latifi, S. (eds) Information Technology - New Generations. Advances in Intelligent Systems and Computing, vol 558. Springer, Cham. https://doi.org/10.1007/978-3-319-54978-1_35

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-54978-1_35

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-54977-4

  • Online ISBN: 978-3-319-54978-1

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics