Model for Enhancing Network Integration and Interoperability Across Diverse Technology Platforms

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@article{1712110,
      author = {Oluranti Ogundapo},
      title = {Model for Enhancing Network Integration and Interoperability Across Diverse Technology Platforms},
      journal = {Iconic Research And Engineering Journals},
      year = {2019},
      volume = {3},
      number = {6},
      pages = {381-394},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1712110.pdf},
      abstract = {The increasing complexity and heterogeneity of modern telecommunications and internet infrastructures necessitate robust models for enhancing network integration and interoperability across diverse technology platforms. With the proliferation of 5G/6G networks, Internet of Things (IoT) devices, cloud computing, and edge architectures, communication networks face unprecedented challenges in ensuring seamless connectivity, consistent service quality, and secure data exchange among heterogeneous systems. This study proposes a comprehensive model that emphasizes standardized protocols, modular design principles, and intelligent orchestration mechanisms to facilitate interoperability while maintaining reliability, scalability, and performance. The proposed model adopts a layered and modular architecture to abstract the physical, network, service, and management layers, enabling seamless integration of legacy systems with emerging technologies. Standardized interfaces and open protocols, guided by international standards such as 3GPP, IETF, and ITU-T, form the foundation for multi-vendor compatibility and cross-platform communication. In addition, the model incorporates software-defined networking (SDN) and network function virtualization (NFV), allowing dynamic allocation of network resources, automated configuration, and adaptive routing across heterogeneous environments. By leveraging AI-driven orchestration and predictive analytics, the framework optimizes traffic management, reduces latency, and mitigates the impact of network congestion or failures, thereby improving end-to-end service quality. Security and compliance are integral components of the model, encompassing end-to-end encryption, authentication mechanisms, and data privacy adherence in alignment with regulatory frameworks such as GDPR and HIPAA. Furthermore, edge computing integration ensures that data processing occurs closer to end-users, enhancing responsiveness and reducing bandwidth requirements. The significance of this model lies in its scalability, adaptability, and cross-platform applicability, making it suitable for telecom operators, cloud service providers, IoT ecosystems, and enterprise networks. By promoting standardized integration, intelligent management, and secure interoperability, the framework addresses the growing demand for resilient, efficient, and unified communication infrastructures capable of supporting the evolving digital economy.},
      keywords = {Network Integration, Interoperability, SDN, NFV, AI Orchestration, Edge Computing, Multi-Platform Connectivity, Standardized Protocols, Scalable Infrastructure.},
      month = {December},
  }