ACO based AODV Method for Detection and Recovery of Misbehaving Nodes
ACO based AODV Method for Detection and Recovery of Misbehaving Nodes
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Keywords

AODV
ACO
misbehavior detection and recovery
MANET

How to Cite

M.Sumathi, & Dr. M.Gunasekaran. (2018). ACO based AODV Method for Detection and Recovery of Misbehaving Nodes. Global Journal of Computer Science and Technology, 18(E1), 1–11. Retrieved from https://gjcst.com/index.php/gjcst/article/view/537

Abstract

Mobile ad-hoc networks MANETs can be described as a set of a huge variety of mobile nodes MANET has the kind of applications such navy disaster stuck regions and the characteristics of dynamic topology no constant infrastructure and many others Nevertheless there are a few protection issues and challenges in it MANET is vulnerable to numerous attacks because of its open medium As a result there s need to examine in detail about the way to discover malicious or misbehaving node present inside the network Ant algorithm is a set of rules this is most appropriate to be carried out in MANET environments than other algorithms It can discover a most effective route independent decentralized rapid adaptation and multiple routes Due to this motive we use ant algorithm to enhance the overall performance of the proposed comfortable protocol in this paper Ant-primarily based Misbehavior node detection approach is carried out with ad-hoc On-demand Distance Vector AODV protocols and it figuring out the misbehavior node properly evaluate the parameters of packet delivery ratio throughput and so on
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