A Comparative Study of Quality of Service (QoS) Metrics in Reactive Routing Protocols DSR and AODV in Manet
Diego A. Sánchez C1, John J. Tucker Yépez2, Gabriela C. Durán Tapia3, Heydi M. Roa López4
1Diego A. Sánchez C, Department of Electronics and Telecommunications Engineer, Universidad Nacional de Loja, Ecuador, Department of Electronics and Telecommunications. Loja, Ecuador.
2John J. Tucker Yepez, Department of Engineer Specialist in Communication Networks and Switching Systems, State University of Belgorod Russia, Master in international sciences and diplomacy, Ecuador, Researcher at the Universidad Nacional de Loja, Department of Telecommunications.
3Gabriela C. Durán Tapia, Department of Architect and Master in Architecture and New Urbanism. Her Professional and Academic Career in Urban and Architectural. At Universidad Católica de Santiago de Guayaquil, Guayaaquil, Ecuador.
4Heydi M. Roa López, Department of ESPOL Polytechnic University, Escuela Superior Politécnica del Litoral, ESPOL, Faculty of Natural Sciences and Mathematics, Guayaquil, Ecuador.
Manuscript received on 16 January 2024 | Revised Manuscript received on 27 January 2024 | Manuscript Accepted on 15 February 2024 | Manuscript published on 28 February 2024 | PP: 1-7 | Volume-12 Issue-3, February 2024 | Retrieval Number: 100.1/ijese.C256012030224 | DOI: 10.35940/ijese.C2560.12030224
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: This study is based on the analysis of specific Quality of Service (QoS) metrics. The acquisition of these metrics was carried out by modifying codes in C++ language within the Ns3 network simulation software. The choice of the Random Way Point mobility model contributed to the generation of metrics, which were subsequently used in the evaluation and comparison of two selected protocols, DSR and AODV. These evaluations focused on critical parameters such as Throughput, Delay, and Jitter. To conduct meaningful comparisons, three different scenarios were designed, each characterized by the variation in the number of nodes used. This approach allowed for a comprehensive assessment of the protocols’ effectiveness in different MANET network configurations. Ultimately, the selection of the most accurate protocols was based on a detailed analysis of metrics in various MANET scenarios. This process provided a deeper understanding of how DSR and AODV perform in specific environments, enabling the identification of more effective protocols according to the particular demands of each scenario.
Keywords: Ad-Hoc, AODV, Delay, DSR, Routing, Jitter, MANET, Metrics, Mobility, Nodes, Ns3, QoS, Random Waypoint, Networks, Throughput.
Scope of the Article: Foundations of Communication Networks