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The research studies how different node position schemes affect Open Shortest Path First (OSPF) routing performance in Mobile Ad Hoc Networks (MANETs) using OPNET to assess scalability characteristics. Network performance in MANETs requires efficient adaptive routing since these networks operate under free infrastructure and dynamic node configurations. The OSPF protocol received modifications through MANET Designated Router extensions which improve its operation in mobile frameworks. The deployment arrangement of nodes as random, grid or circular formats directly affects OSPF routing performance along with control operations and the overall scalability capability in mobile ad hoc networks.
The performance of OSPF through simulation with OPNET allows users to evaluate effects from deployment models and process node density together with mobility patterns and network size impacts on end-to-end delay and throughput measurements. OSPF in MANETs achieves improved scalability and stability when operated through structured random, grid and circular deployment models that both lower route update frequency and control message flooding rates. Random distribution methods enable networks to produce multiple connection types and flexible routing behavior thus improving network flexibility with growing network dimensions. The investigation proves the essential role of choosing appropriate node deployment methods for improving OSPF scalability within MANETs which can lead to better practical application outcomes in military operations and emergency response situations as well as mobile sensor networks.
"“Performance and Scalability of OSPF in MANETs: Impact of Node Placement Strategies Using OPNET” ", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 3, page no.a337-a343, March-2025, Available :http://www.ijrti.org/papers/IJRTI2503041.pdf
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator