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Performance Analysis Of Aodv In Presence Of Malicious Node

Author

Listed:
  • Rohit Rana

    (Computer Science and Engineering Department, Vidya College of Engineering, Meerut)

  • Rajendra Kumar

    (Computer Science and Engineering Department, Vidya College of Engineering, Meerut)

Abstract

Un-wired Computers (Mobile Computers) such as Laptops, Net-books, Notebooks and Personal Digital Assistants (PDAs) are the fastest growing segments of Computing Industry; this changing aspect of computing has led to the invention of Mobile Ad-Hoc Networks (MANET). Mobile Ad Hoc networking is a new era of infrastructure less communication networks for mobile devices (hosts, nodes etc.), where mobile nodes that are in radio range for each other can directly communicate with each other when in range and can even use intermediate nodes as routers when are moving away or are getting out of range from the connected nodes, this property along with the ability of switching from one network topology to another help in improving node mobility. Due to this mobility factor and undefined infrastructure security is a major concern in mobile Ad Hoc networks. In this paper we are providing a detailed analysis of the performance of ad-hoc routing protocol AODV in Mobile Ad Hoc networks with and without the presence of malicious node. We have used Qualnet version 5.0 (simulator) to measure the effect of attack on mobile ad-hoc networks that gives a clear picture for the throughput, variations in CBR, packet delivery delay, average jitter and end-to-end delay in mobile ad-hoc networks when attack effects the mobile ad-hoc network.

Suggested Citation

  • Rohit Rana & Rajendra Kumar, 2019. "Performance Analysis Of Aodv In Presence Of Malicious Node," Acta Electronica Malaysia (AEM), Zibeline International Publishing, vol. 3(1), pages 1-5, January.
    • Handle: RePEc:zib:zbnaem:v:3:y:2019:i:1:p:1-5
    DOI: 10.26480/aem.01.2019.01.05
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    Cited by:

    1. Nikolay E. Razinkin & Nina I. Voronova & Yaroslav D. Podlesnikov & Sergey N. Danilov, 2019. "Drop Test Simulation of Glass Fiber Reinforced Plastic (GFRP) Modular Pontoon Unit," Journal of Mechanical Engineering Research & Developments (JMERD), Zibeline International Publishing, vol. 42(3), pages 06-09, March.
    2. Gaurav Sharma & Anil Kumar Kapil, 2021. "Intrusion Detection And Prevention Framework Using Data Mining Techniques For Financial Sector," Acta Informatica Malaysia (AIM), Zibeline International Publishing, vol. 5(2), pages 58-61, December.

    More about this item

    Keywords

    CBR; WSN; MANET; AODV; ZIG- BEE;
    All these keywords.

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