Improve Performance of DSR using Fuzzy Logic

The Dynamic Source Routing (DSR) protocol is a popular routing method for wireless ad hoc networks because of its ability to provide efficient and flexible routing without relying on a fixed infrastructure. However, DSR has a number of drawbacks, including significant overhead and poor performance in unpredictable and dynamic network situations. This work proposes a fuzzy logic implementation of the DSR protocol to overcome these difficulties. Fuzzy logic is a computing framework for representing and manipulating incorrect and uncertain information. By adding fuzzy logic into the DSR protocol, we want to improve its adaptability and decision-making capabilities in a variety of network situations.The fuzzy system toolkit in MATLAB is used to develop a fuzzy logic model. We evaluated the newly developed fuzzy-based routing protocol FzDSR with the AODV, DSDV, and DSR routing protocols. The implementation is assessed based on different node numbers and performance parameters. The findings show that the fuzzy logic-based DSR protocol outperforms the classic DSR approach in terms of packet delivery ratio, end-to-end delay, throughput, and routing overhead.