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NINQ: Name-Integrated Query Framework for Named-Data Networking of Things.

Muhammad Atif Ur Rehman¹, Rehmat Ullah¹, Byung-Seo Kim²

¹Department of Electronics & Computer Engineering, Hongik University, Sejong City 30016, Korea.

Sensors (Basel, Switzerland)

|July 3, 2019

Summary

The Name-INtegrated Query (NINQ) framework enhances Information-Centric Networking (ICN) for the Internet of Things (IoT). This new query mechanism improves data retrieval and command exchange in smart buildings.

Keywords:

Named-Data Networking Pull and Push Support commands internet of things query smart building

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Area of Science:

Computer Science
Networking
Internet of Things

Background:

Information-Centric Networking (ICN) shifts from host-to-host communication to content-based retrieval.
Named-Data Networking (NDN) is a prominent ICN architecture, particularly for IoT, using hierarchical naming.
Content providers in NDN and sensor networks act as distributed databases for data and control information.

Purpose of the Study:

To propose the Name-INtegrated Query (NINQ) framework for NDN-based IoT environments.
To provide a flexible, expressive, and secure query mechanism for content retrieval and command exchange.
To evaluate the performance of the NINQ framework in smart building scenarios.

Main Methods:

The study introduces the NINQ framework for NDN-based IoT.
Use cases demonstrating data collection and control command exchange were developed.
Simulations were conducted to analyze the framework's performance.

Main Results:

The NINQ framework significantly improved Interest Satisfaction Rate (ISR) and Command Satisfaction Rate (CSR).
Energy efficiency and average delay were enhanced by the proposed framework.
The number of network transmissions was substantially reduced, improving overall network performance.

Conclusions:

The NINQ framework offers a robust solution for querying in NDN-based IoT systems.
The framework effectively supports both data retrieval and control command exchange.
NINQ demonstrates significant improvements in network efficiency and performance metrics.