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Related Experiment Video

Updated: Oct 7, 2025

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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Published on: September 8, 2023

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An Efficient Probe-Based Routing for Content-Centric Networking.

Pei-Hsuan Tsai1, Jun-Bin Zhang2, Meng-Hsun Tsai2

  • 1Institute of Manufacturing Information and Systems, National Cheng Kung University, Tainan City 701, Taiwan.

Sensors (Basel, Switzerland)
|January 11, 2022
PubMed
Summary
This summary is machine-generated.

This study introduces a novel probe-based routing algorithm for Content-Centric Networking (CCN). The algorithm enhances routing table accuracy and reduces network congestion and response times for more efficient data retrieval.

Keywords:
Content-Centric NetworkingInformation-Centric NetworkingNamed Data Networkingcontent explorationnext generation networkingrouting

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Area of Science:

  • Computer Science
  • Network Engineering
  • Information Technology

Background:

  • Traditional Internet Protocol (IP)-based networks face challenges with emerging technologies like IoT, smart cities, and 5G.
  • Information-Centric Networking (ICN), including Named Data Networking (NDN) and Content-Centric Networking (CCN), is proposed as a future network alternative.
  • CCN routing presents optimization difficulties due to non-deterministic paths and frequent in-network caching replacements.

Purpose of the Study:

  • To develop a novel probe-based routing algorithm for Content-Centric Networking (CCN).
  • To ensure routing tables maintain optimal paths to content providers by utilizing real-time in-network caching.
  • To improve the efficiency and reliability of CCN routing.

Main Methods:

  • A novel probe-based routing algorithm is presented, incorporating effective probe-selections, Pending Interest Table (PIT) probes, and Forwarding Information Base (FIB) probes.
  • The algorithm's performance was analyzed through simulations using various performance metrics.
  • Qualitative and quantitative analyses were conducted to compare the approach with basic CCN and other existing methods.

Main Results:

  • The probe-based approach enhances Forwarding Information Base (FIB) accuracy.
  • It reduces the number of timeout interests by 6% and decreases average response time by 0.6 seconds.
  • The proposed method outperforms basic CCN, RECIF+PIF, and EEGPR in terms of real-value performance metrics and provides more reliable routing, especially during router failures.

Conclusions:

  • The probe-based routing algorithm significantly improves CCN routing efficiency by increasing FIB accuracy.
  • The approach effectively reduces network congestion and response times, leading to more reliable data delivery.
  • This method offers a robust solution for future network architectures facing challenges with dynamic caching and routing.