Skip to main content

Fuzzy Weighted Metrics Routing in DSR in MANETs

  • Conference paper
  • First Online:
  • 931 Accesses

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 51))

Abstract

Communication path from source node to destination node in MANET is affected due to arbitrary movement, connection break down, power supply, bottleneck traffic, security etc. Hence, while designing the routing protocols these aspects are taken into account. Therefore, in this paper, we improve the existing DSR routing protocol by applying fuzzy inference system that offers a natural way of accepting multiple input constraints which are uncertain and imprecise in nature. The fuzzy weighted logic input metrics are hop count, stability factor and output metric fuzzy cost is dynamically calculated using MATLAB Fuzzy logic toolbox. Simulations are carried out using NS2.35 simulator and results show better performance of modified DSR protocol than DSR in terms of Packet delivery ratio and delay.

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

Buying options

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

Learn about institutional subscriptions

References

  1. Murthy, C.S.R., Manoj, B.S.: Ad Hoc Wireless Networks: Architecture and Protocols. Pearson Ltd (2004)

    Google Scholar 

  2. Sharma, V., Alam, B.: Unicaste routing protocols in mobile ad hoc networks: a survey. Int. J. Comput. Appl. pp. 148–153, USA (2012)

    Google Scholar 

  3. Jin, L., Zhang, Z., Lai, D., Zhou, H.: Implementing and evaluating secure routing protocol for mobile ad hoc network. In: IEEE Wireless Telecommunication symposium, pp. 1–10 (2006)

    Google Scholar 

  4. Rea, S., Pesch, D.: Multi-metric routing decisions for ad hoc networks using fuzzy logic. In: 1st IEEE Symposium on Wireless Communication Systems, pp. 403–407 (2004)

    Google Scholar 

  5. Alandjani, G., Jhonson, E.E.: Fuzzy routing in ad hoc networks. In: IEEE International Conference on Performance computing and Communication, pp. 525–530 (2003)

    Google Scholar 

  6. Santhi, G., Nachiappan, A.: Fuzzy-cost based multiconstrained QoS routing with mobility prediction in MANETs. Egypt. Inform. J. pp. 19–25 (2012)

    Google Scholar 

  7. Wang, C., chen, S., yang, X., Gao, Y.: Fuzzy logic-based dynamic routing management policies for mobile ad hoc networks. In: Workshop on High Performance Switching and Routing, pp. 341–345 (2005)

    Google Scholar 

  8. Ross, T.J.: Fuzzy Logic with Engineering Application. Macgraw hills, New York (1995)

    Google Scholar 

  9. Doja, M.N., Alam, B., Sharma, V.: Analysis of reactive routing protocol using fuzzy inference system. AASRI Procedia pp. 164–169 (2013)

    Google Scholar 

  10. Torshiz, M.N., Amintoosi, H., Movaghar, A.: A fuzzy energy-based extension to AODV routing. In: International Symposium on Telecommunications, pp. 371–375 (2008)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Vivek Sharma .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer International Publishing Switzerland

About this paper

Cite this paper

Sharma, V., Alam, B., Doja, M.N. (2016). Fuzzy Weighted Metrics Routing in DSR in MANETs. In: Satapathy, S., Das, S. (eds) Proceedings of First International Conference on Information and Communication Technology for Intelligent Systems: Volume 2. Smart Innovation, Systems and Technologies, vol 51. Springer, Cham. https://doi.org/10.1007/978-3-319-30927-9_41

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-30927-9_41

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-30926-2

  • Online ISBN: 978-3-319-30927-9

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics