Skip to main content

Ant-CAMP: Ant Based Congestion Adaptive Multi-Path Routing Protocol for Wireless Networks

  • Conference paper
Computer Networks and Intelligent Computing (ICIP 2011)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 157))

Included in the following conference series:

Abstract

The advent of mobile computing devices and wide deployment of wireless networks have led to an exponential increase in the internet traffic. Long congestion epochs and frequent link failures in wireless network lead to more number of packets being dropped and incur high end-to-end delay, thereby degrading the overall performance of the network. Congestion control, though mainly incorporated at the transport layer, if coupled with the routing protocols, can significantly improve overall performance of the network. In this paper we propose Ant based Congestion Adaptive Multipath (Ant-CAMP) routing protocol that aims to avoid congestion by proactively sending congestion notification to the sender. The proposed Ant-CAMP routing protocol is implemented in Network Simulator-2 (NS-2) and its performance is compared with Ad-hoc On Demand Multi-Path Distance Vector (AOMDV) in terms of Packet Drops due to Congestion, Packet Delivery Fraction and Average End-to-End Delay.

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 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
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

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Tran, D.A., Harish, R.: Congestion Adaptive Routing in Mobile Ad Hoc Network. IEEE Transactions on Parallel and Distributed Systems 17(11) (November 2006)

    Google Scholar 

  2. Mohammed, T., Kemal, E.T., Sasan, A., Shervin, E.: Survey of Multipath Routing Protocols for Mobile Ad Hoc networks. Journal of Network and Computer Applications 32, 1125–1143 (2009)

    Article  Google Scholar 

  3. Jack, T., Tim, M.: A Review of Multipath Routing Protocols: From Wireless Ad Hoc to Mesh Network. In: Proc. ACoRN Early Career Researcher Workshop on Wireless Multihop Networking, pp. 17–18 (July 2006)

    Google Scholar 

  4. Marco, D., Vittorio, M., Alberto, C.: Ant System: Optimization by a Colony of Co-operating agents. IEEE Transactions on Systems, Man, and Cybernetics-Part B 26(1), 1–13 (1996)

    Google Scholar 

  5. Falko, D., Ozgur, B.A.: A Survey on Bio-inspired Networking. Computer Networks 54(6), 881–900 (2010)

    Article  MATH  Google Scholar 

  6. Marina, M.K., Das, S.R.: Ad Hoc On-demand Multipath Distance Vector Routing. Computer Science Department, Stony Brook University (2003)

    Google Scholar 

  7. NS, The Network Simulator, http://www.isi.edu/nsnam/ns/

  8. http://mohittahiliani.blogspot.com/2009/12/awk-script-for-ns2.html

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Raval, C., Hegde, S., Tahiliani, M.P. (2011). Ant-CAMP: Ant Based Congestion Adaptive Multi-Path Routing Protocol for Wireless Networks. In: Venugopal, K.R., Patnaik, L.M. (eds) Computer Networks and Intelligent Computing. ICIP 2011. Communications in Computer and Information Science, vol 157. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22786-8_45

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-22786-8_45

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-22785-1

  • Online ISBN: 978-3-642-22786-8

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics