NDN-Based ICN Architecture Design to Improve Data Communication QoS in Kertajati Aerocity

The development plan for Kertajati Aerocity requires adequate support from the data communication infrastructure. The primary challenge lies in the dense data flows, which involve very large volumes and diverse data types. The commonly used host-centric architecture suffers from latency, bandwidth utilization, and scalability issues, making it unsuitable for the dynamic Aerocity scenario. To address these limitations, this study proposes an Information-Centric Networking (ICN) architecture based on Named Data Networking (NDN), where communication relies on content names rather than IP addresses. The ndnSIM simulator was employed in the experimental evaluation of this architectural model, using operational data requirements derived from the Taoyuan Aerotropolis case. Performance was assessed through Quality of Service (QoS) metrics, including throughput, latency, and cache hit ratio. The simulation results indicate that throughput stabilized at ~10.1 Mbps (from 7.2 Mbps initially) with balanced node distribution, while latency averaged ~3 ms, with p95 < 10 ms and over 95% of requests completed within low-delay bounds despite initial spikes. Cache statistics were unavailable (CacheHits/Misses = 0) due to tracer settings and traffic patterns, so cache analysis is left for future work. These findings highlight the novelty of integrating NDN-based ICN with Aerocity-specific traffic requirements. The proposed model is presented as a scalable solution for the evolving data communication infrastructure of Kertajati Aerocity in the future, emphasizing designing an NDN-based architecture specifically designed for the multi-zone Aerocity ecosystem, including hierarchical and cross-zone naming schemes that model the operational flow of Aerocity.

@article{Rusnandi2025,
  title     = {NDN-Based ICN Architecture Design to Improve Data Communication QoS in Kertajati Aerocity},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {16},
  number    = {11},
  year      = {2025},
  publisher = {The Science and Information Organization},
  author    = {Enang Rusnandi and Tri Kuntoro Priambodo and Mardhani Riasetiawan},
  doi       = {10.14569/IJACSA.2025.0161122},
  url       = {https://doi.org/10.14569/IJACSA.2025.0161122}
}