Assistant Professor, Dr M Krishna Kumari, Assistant Professor, Department of Computer Science and Engineering, SRM University AP, has published her paper “Adaptive NDN Caching: Leveraging Dynamic Behaviour for Enhanced Efficiency” in the Q1 Journal of Network and Computer Applications with an impact factor of 8.0. The paper reimagines the internet using Named Data Networking
(NDN), which shifts the focus from location to data-centric communication. The study introduces an adaptive caching strategy that will lead to faster responses, smoother access, and fewer delays, even when tested on real-world topologies.
Abstract of the Research:
The publication “Adaptive NDN Caching: Leveraging Dynamic Behaviour for Enhanced Efficiency” proposes a dynamic caching strategy for Named Data Networking (NDN), a next- generation Internet architecture that shifts from host-based to data-centric communication. The approach continuously adapts to real-time content demand by monitoring request patterns and intelligently placing frequently accessed data closer to end users. This adaptive mechanism enhances efficiency, reduces delays, and improves overall network performance when tested on real-world topologies.
Layperson’s Explanation:
The Internet today focuses on where data comes from (IP addresses), but modern users care about what the data is. Applications such as video streaming, online education, AI, and IoT require data instantly, regardless of its source. NDN reimagines the Internet by focusing on data itself. The caching strategy ensures that routers learn which content is most frequently requested and bring it closer to the users. This means faster responses, smoother access, and less congestion, even during heavy network load.
Practical Implementation and Social Implications:Traditional TCP/IP struggles with scalability, congestion, and security. In contrast, NDN is a
future Internet architecture designed for delay-sensitive and data-driven environments. This is
vital because:
- In AI and IoT, even a fraction of delay can disrupt real-time processing.
- In VANETs (Connected Vehicular Networks), delays of milliseconds can mean serious
danger for safety-critical applications. - In tactical and mission-critical communications, reliability and speed can determine
mission success.
The caching innovation strengthens NDN’s role in delivering secure, delay-sensitive, and efficient communication for these emerging domains, while also reducing congestion and making networks more sustainable.
Collaborations:
This research is a collaboration between the Department of Computer Science and Engineering, SRM University-AP, Amaravati, and the Department of Computer Science and Engineering, Indian Institute of Technology (ISM, Dhanbad), in collaboration with Dr. Nikhil Tripathi (IIT Dhanbad).
Future Research Plans:
Future directions include extending adaptive caching to vehicular networks (VANETs), tactical communications, and other mission-critical systems, with a focus on AI-driven predictive caching for real-time applications. The goal is to enable networks to anticipate demand, ensure secure data delivery, and minimize delays, which
Photographs related to the research:
