ABSTRACT
This research investigates the performance of two widely used routing protocols, Ad Hoc On-Demand Distance Vector (AODV) and Destination-Sequenced Distance Vector (DSDV), in Mobile Ad-Hoc Networks (MANETs) with the incorporation of fuzzy logic. The study aims to assess the adaptability and efficiency of these protocols under dynamic network conditions using a fuzzy logic-based approach. Fuzzy logic, known for its ability to handle imprecise and uncertain information, is employed to enhance decision-making processes in the routing protocols.
The research involves the implementation and simulation of AODV and DSDV routing protocols within a MANET environment using established networking simulation tools. The introduction of fuzzy logic mechanisms allows the protocols to dynamically adjust their parameters based on changing network conditions, such as node mobility and varying traffic loads.
The simulation results are analyzed using performance metrics including packet delivery ratio, end-to-end delay, and network throughput. Comparative studies between the original protocols and their fuzzy logic-enhanced counterparts provide insights into the effectiveness of the fuzzy logic approach in optimizing routing decisions and overall network performance.
