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Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization
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An Adaptive Network Coding Scheme for Multipath Transmission in Cellular-Based Vehicular Networks.

Chenyang Yin1, Ping Dong1, Xiaojiang Du2

  • 1School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing 100044, China.

Sensors (Basel, Switzerland)
|October 22, 2020
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Summary

This study introduces Adaptive Network Coding (ANC) to boost vehicular Internet-of-Things (IoT) throughput. By integrating Hidden Markov Models (HMM), ANC dynamically adjusts coding rates to overcome wireless link fluctuations, reducing packet loss.

Keywords:
machine learningmultipath transmissionnetwork codingvehicular network

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Area of Science:

  • Vehicular communication networks
  • Wireless networking
  • Information theory

Background:

  • Vehicular Internet-of-Things (IoT) systems face challenges in achieving high throughput for vehicle-to-cloud multipath transmission.
  • Network Coding (NC) offers potential for improving throughput by reducing packet loss.
  • Existing NC schemes struggle to adapt to rapid changes in wireless link quality, impacting efficiency and bandwidth usage.

Purpose of the Study:

  • To propose an Adaptive Network Coding (ANC) scheme for vehicular IoT systems.
  • To enhance throughput and reduce packet loss in vehicle-to-cloud multipath transmission.
  • To dynamically adjust coding rates based on real-time wireless link quality variations.

Main Methods:

  • Integration of Hidden Markov Model (HMM) into Network Coding (NC).
  • Estimation of packet loss rate (PLR) to dynamically adjust the coding rate.
  • Development and simulation of the proposed Adaptive Network Coding (ANC) scheme.

Main Results:

  • The ANC scheme effectively adapts to rapid changes in wireless link quality.
  • ANC achieves higher throughput compared to existing NC schemes in vehicular wireless multipath transmission.
  • Demonstrated reduction in packet loss through simulations and real-world experiments.

Conclusions:

  • The proposed ANC scheme significantly improves throughput in vehicular IoT systems.
  • ANC provides a robust solution for dynamic wireless link conditions.
  • ANC outperforms traditional NC schemes in vehicular wireless multipath transmission scenarios.