A Modified Approach to Decrease Packet Loss Ratio and PDR in AODV Using Fuzzy Technique

Bhupesh, Rainu Nandal, Kamaldeep Joshi, Omdev Dahiya · 2022 10th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO) · 2022

Black hole attack on an AODV-based network has been modeled in many studies. A Fuzzy Logic Approach to AODV Routing Protocol is the Focus of This Research. Black hole attacks on AODV routing may be mitigated by employing fuzzy logic. Fuzzy-based and traditional models have been used to quantify the effect of black hole attacks on network performance in simulations of these assaults. To improve the performance of AODV-based networks over more traditional models, fuzzy logic uses random node selection to choose nodes at random. A simulation has shown the impact rogue nodes have on packet delivery, packet loss, end-to-end delivery, & routing overhead. As a comparison between the standard model and the recommended one, the Ratio of packet delivery has been taken into consideration as well. Data that may be used to identify the optimum path between two places in a computer network is sent using the routing protocol. Routing algorithms are used while deciding on a certain route. Pre-existing knowledge about the networks that would be directly linked to the router was already in existence. In cryptography, a method is used to encrypt a message, and the message is decrypted using the same technique. When a third party is present and two parties must communicate confidentially, this approach is used. A novel routing protocol method is analyzed and compared to a unique encryption approach as part of this research, which aims to improve the performance of routing protocols. Working toward a high-speed, secure protocol is the primary goal. The result shows that the proposed work shows promising results in terms of packet loss and packet delivery ratio when compared with the existing result.

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