Skip to main content
SpringerLink
Log in
Book cover

International Workshop on the Physics of Semiconductor and Devices

IWPSD 2017: The Physics of Semiconductor Devices pp 771–774Cite as

Selection of an Efficient Next Hop Metric in Wireless Sensor Networks Using Fuzzy Logic

  • Conference paper
  • First Online:

  • 2987 Accesses

Part of the book series: Springer Proceedings in Physics ((SPPHY,volume 215))

Abstract

Wireless Sensor Network (WSN) consists of small sensor nodes that cooperate with each other to send sensed data to the Base-Station (BS). Choice of optimal next hop for data routing is really important in WSN and it acts as a significant part in preserving energy. Individual parameters or weighted metric of different parameters are used in selecting a next hop, but the selection of suitable and effectual parameters and metric is very important to improve the performance of the network. This work considers a fuzzy logic approach to evaluate the performance of network w.r.t. different weighted metrics. Performance is evaluated by adding a fuzzy logic controller to determine best next hop metric selection for routing.

This is a preview of subscription content, 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   229.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD   299.99
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

Learn about institutional subscriptions

References

  1. D.F. Macedo, A.L. dos Santos, M. Nogueira, G. Pujolle, Fuzzy-based load self-configuration in mobile P2P services. Computer Networks 55(8), 1834–1848 (2011)

    Article  Google Scholar 

  2. J.M. Kim, S.H. Park, Y.J. Han, T.M. Chung, CHEF: cluster head election mechanism using fuzzy logic in wireless sensor networks, in 10th International Conference on Advanced Communication Technology (2008)

    Google Scholar 

  3. J.S. Lee, W.L. Cheng, Fuzzy-logic-based clustering approach for wireless sensor networks using energy predication. IEEE Sens. J. 12(9), 2891–2897 (2012)

    Article  ADS  Google Scholar 

  4. P. Azad, V. Sharma, Cluster head selection in wireless sensor networks under fuzzy environment. ISRN Sens. Netw. (2013)

    Google Scholar 

  5. R. Khoshkangini, S. Zaboli, S. Sampalli, Energy efficient clustering using fuzzy logic. Int. J. Comput. Sci. Mob. Comput. 2, 8–14 (2013)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Computer Science & Engineering, National Institute of Technology, Hazratbal, Srinagar, 190006, India

    Sukhkirandeep Kaur & Roohie Naaz Mir

Authors
  1. Sukhkirandeep Kaur
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Roohie Naaz Mir
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Sukhkirandeep Kaur .

Editor information

Editors and Affiliations

  1. Solid State Physics Laboratory, Delhi, India

    R. K. Sharma

  2. Solid State Physics Laboratory, Delhi, India

    D.S. Rawal

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Kaur, S., Mir, R.N. (2019). Selection of an Efficient Next Hop Metric in Wireless Sensor Networks Using Fuzzy Logic. In: Sharma, R., Rawal, D. (eds) The Physics of Semiconductor Devices. IWPSD 2017. Springer Proceedings in Physics, vol 215. Springer, Cham. https://doi.org/10.1007/978-3-319-97604-4_116

Download citation

Publish with us

Policies and ethics

Search

Navigation