Neural Networks and Rules-based Systems used to Find Rational and Scientific Correlations between being Here and Now with Afterlife Conditions
February 17, 2026
Neural Networks and Rules-based Systems used to Find Rational and
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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 Ondemand Distance Vector (AODV) protocols and it figuring out the misbehavior node properly evaluate the parameters of packet delivery ratio, throughput and so on.
M.Sumathi. 2018. \u201cACO based AODV Method for Detection and Recovery of Misbehaving Nodes\u201d. Global Journal of Computer Science and Technology - E: Network, Web & Security GJCST-E Volume 18 (GJCST Volume 18 Issue E1): .
Crossref Journal DOI 10.17406/gjcst
Print ISSN 0975-4350
e-ISSN 0975-4172
The methods for personal identification and authentication are no exception.
The methods for personal identification and authentication are no exception.
Neural Networks and Rules-based Systems used to Find Rational and
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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 Ondemand 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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