| dc.description.abstract |
In the ever-evolving digital era, computer networks have become a vital foundation for various applications and services. In this context, routing protocols become an important element in managing and optimizing data flows within the network. In an effort to improve the performance of routing protocols, the composite metric approach has been in the spotlight, integrating various parameters in routing decision making. This thesis examines the application of composite metrics to the Link State Routing Enhanced Interior Gateway Routing Protocol (LSR-EIGRP) algorithm, combining the advantages of Link State and EIGRP algorithms in a cohesive framework. This research involves the implementation and testing of the algorithms in realistic network simulations, taking into account aspects of reliability, efficiency, and scalability. The experimental results show that the application of composite metric to LSR-EIGRP provides significant improvement in routing performance, by optimizing routes and reducing message control overhead. These findings provide valuable insights for further development in the design of adaptive and efficient routing protocols.
Key word: Routing, EIGRP, Overhead, Protocol.
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