Skip to main content

Part of the book series: Studies in Computational Intelligence ((SCI,volume 296))

  • 495 Accesses

Abstract

Mobile device has been considered a key technology for embedded software and ubiquitous era. Because, existing web environments is moving to wireless internet, the new concepts for wireless internet computing environments has gained increasing interest. Mobile agent provide a new abstraction for deploying functional over the existing infrastructures. Mobile application systems requires the flexibility, adaptability, extensibility, and autonomous. A main nature of ad hoc mobile networks is frequent change on their topology that is the source of many problems to be solved. AODV is an on-demand routing protocol for decreasing maintenance overhead on ad hoc networks. But some path breaks can cause significant overhead and transmission delays. If the maintenance overhead of routing table can be reduced, table-driven routing methods could be an efficient substitution. In this paper, we propose a knowledge discovery agent for an effective routing method that is using the simple bit-map topology information. The agent node gathers topology knowledge and creates topology bit-map information. All paths for source to destination can easily be calculated by the bit-map. All the other nodes on the network maintain the bit-map distributed from agent and uses it for source of routing. Correctness and performance of the proposed agent method is verified by computer simulations

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
Hardcover Book
USD 109.99
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. Agent Platform Special Interest Group, Agent Technology green paper, OMG Document agent/00-0-01 Version 1.0 (2000), http://www.objs.com/agent/index.html

  2. Johansen, D., Lauvset, K.J., Marzullo, K.: An Extensible Software Architecture for Mobile Components. In: Proceeding of the Ninth Annual IEEE International Conference and Workshop on the Engineering of Computer-Based Systems, pp. 231–237 (2002)

    Google Scholar 

  3. Tan, T.-H., Liu, T.-Y.: The MObile-Based Interactive Learning Environment (MOBILE) and A Case Study for Assisting Elementary School English Learning. In: Proceedings of IEEE International Conference on Advanced Learning Technologies (ICALT 2004), August 2004, pp. 530–534 (2004)

    Google Scholar 

  4. Ogier, R.G., Lewis, M.G., Templin, F.L.: Topology Broadcast Based on Reverse-Path Forwarding. draft-ietf-manet-tbrpf-08.txt (April 2003)

    Google Scholar 

  5. Johnson, D., Maltz, D., Hu, Y.-C.: The Dynamic Source Routing Protocol for Mobile Ad Hoc Networks (DSR). IETF Mobile Ad Hoc Networks Working Group, Internet Draft, April 15 (2003) (work in progress)

    Google Scholar 

  6. Nasipuri, A., Castaneda, R., Dasl, S.: Performance of Multipath Routing for On-demand Protocols in Mobile Ad hoc Networks. Kluwer Academic Publishers Mobile Networks and Applications (2001)

    Google Scholar 

  7. Odell, J., Van Dyke Parunak, H., Bauer, B.: Extending UML for Agents. In: Proceeding of Agent-Oriented Information Systems Workshop at the 17th International Conference on Artificial Intelligence, vol. 11(3), pp. 303–328 (2001)

    Google Scholar 

  8. Chainbi, W.: Using the Object paradigm to deal with the agent paradigm: capabilities and limits. In: Proceeding of 2001 ACM Symposium on Applied Computing, March 2001, pp. 585–589 (2001)

    Google Scholar 

  9. Depke, R., Heckel, R., Kuster, J.M.: Integrating Visual Modeling of Agent-Based and Object-Oriented Systems. In: Proceeding of Forth International Conference on Autonomous Agents 2000, June 2000, pp. 82–83 (2000)

    Google Scholar 

  10. Bauer: UML Class Diagrams and Agent-Based Systems. In: Proceeding of Fifth International Conference on Autonomous Agents 2001, May 2001, pp. 104–105 (2001)

    Google Scholar 

  11. Shao, W., Tasi, W.-T., Rayadurgam, S., Lai, R.: An Agent Architecture for Supporting Individualized Services in Internet Applications. In: Proceeding of Tenth IEEE International Conference on Tools with Artificial Intelligence, November 1998, vol. 10(12), pp. 140–147 (1998)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2010 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Kim, HK., Hwang, S.M. (2010). Development of Mobile Agent on CBD. In: Lee, R., Ormandjieva, O., Abran, A., Constantinides, C. (eds) Software Engineering Research, Management and Applications 2010. Studies in Computational Intelligence, vol 296. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13273-5_12

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-13273-5_12

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-13272-8

  • Online ISBN: 978-3-642-13273-5

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics