Performance Analysis of Route Redistribution among Diverse Dynamic Routing Protocols based on OPNET Simulation

Abstract

Routing protocols are the fundamental block of selecting the optimal path from a source node to a destination node in internetwork. Due to emerge the large networks in business aspect thus; they operate diverse routing protocols in their infrastructure. In order to keep a large network connected; the implementation of the route redistribution is needed in network routers. This paper creates the four scenarios on the same network topology by using Optimized Network Engineering Tools Modeler (OPNET 14.5) simulator in order to analyze the performance of the route redistribution among three routing protocols by configuring three protocols from a set of Routing Information Protocol (RIPv2), Enhanced Interior Gateway Routing Protocol (EIGRP), Open Shortest Path First (OSPF), and Intermediate System to Intermediate System (IS-IS) dynamic routing protocols on each scenario. The first scenario is EIGRP_OSPF_ISIS, the second scenario is EIGRP_OSPF_RIPv2, the third scenario is RIPv2_EIGRP_ISIS, and the fourth scenario is RIPv2_OSPF_ISIS. The simulation results showed that the RIPv2_EIGRP_ISIS scenario outperforms the other scenarios in terms of network convergence time, the hops number, jitter, packet delay variation, packet end to end delay; therefore, it fits real time applications such as voice and video conferencing. In contrast, the EIGRP_OSPF_ISIS scenario has better results compared with other scenarios in terms of response time in case of using web browsing, database query, and Email services.

Authors and Affiliations

Zeyad Mohammad, Ahmad Abusukhon, Adnan A. Hnaif, Issa Issa, Al-Otoum Al-Otoum

Keywords

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  • EP ID EP249929
  • DOI 10.14569/IJACSA.2017.080345
  • Views 120
  • Downloads 0

How To Cite

Zeyad Mohammad, Ahmad Abusukhon, Adnan A. Hnaif, Issa Issa, Al-Otoum Al-Otoum (2017). Performance Analysis of Route Redistribution among Diverse Dynamic Routing Protocols based on OPNET Simulation. International Journal of Advanced Computer Science & Applications, 8(3), 324-332. https://europub.co.uk/articles/-A-249929