Skip to main content

Management of Energy Saving for Wireless Sensor Network Node

  • Conference paper
  • First Online:
Advances in Intelligent Information Hiding and Multimedia Signal Processing

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 64))

  • 1949 Accesses

Abstract

The goal of the paper is to lengthen lifespan of Wireless Sensor Network (WSN) node with effective strategies to reduce energy consumption. On the basis of studying wireless sensor network node structure, energy consumption and transmission between nodes, put forward a kind of effectively energy saving management method for nodes. The scheme adopts the selforganized protocols of dynamic selection cluster head nodes with multiple hops routing, hierarchical topology structure, fast data fusion technology, and dynamic management of power for hardware under the condition of low power.

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 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

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Ju Zipei, Hua Yanqi etc., Wireless sensor network node hardware modular design [J]. Journal of Shanghai university of science and technology, 2009, (6) : 20 to 22

    Google Scholar 

  2. S Amit, C Anantha. Dynamic Power Management in Wireless Sensor Networks [J]. Journal of Selected & test of computer, 2001, 19 (2) : 62-74.

    Google Scholar 

  3. V Vasanth, F Michael. The Power reduction techniques for microprocessor system [J]. ACM computing survey, 2005, 37 (3) : 195-237.

    Google Scholar 

  4. Sun Yugeng, Zhou Yin. An energy efficient clustering in wireless sensor network (WSN) network algorithm [J]. Journal of sensing technology, 2007, 20 (2) : 377-381.

    Google Scholar 

  5. Qiu Guoqing, Yang Zhilong, etc. Based on the ZigBee protocol of wireless sensor network node design [J]. Automation and instrumentation, 2008, (3) : 7-8.

    Google Scholar 

  6. National Center for Biotechnology Information, http://www.ncbi.nlm.nih.gov

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Xu-Hong Huang .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing AG

About this paper

Cite this paper

Huang, XH. (2017). Management of Energy Saving for Wireless Sensor Network Node. In: Pan, JS., Tsai, PW., Huang, HC. (eds) Advances in Intelligent Information Hiding and Multimedia Signal Processing. Smart Innovation, Systems and Technologies, vol 64. Springer, Cham. https://doi.org/10.1007/978-3-319-50212-0_41

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-50212-0_41

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-50211-3

  • Online ISBN: 978-3-319-50212-0

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics