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A Fairness Oriented Neighbor-Channel-Aware MAC Protocol for Airborne Sensor Networks.

Xiaolin Gao1,2, Jian Yan3, Jianhua Lu4

  • 1Department of Electronic Engineering, Tsinghua University, Beijing 100084, China. gaoxl11@mails.tsinghua.edu.cn.

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|May 17, 2017
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Summary

This study introduces a Neighbor-Channel-Aware (NCA) protocol to address unfairness in airborne sensor network (ASN) media access control (MAC). The NCA protocol improves channel access for all aircraft by sharing traffic load information and adjusting back-off intervals.

Keywords:
airborne sensor networksback-offfairnessmedia access controlneighbor-channel-aware

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Area of Science:

  • Computer Science
  • Network Engineering
  • Aerospace Systems

Background:

  • Airborne sensor networks (ASNs) suffer from media access control (MAC) protocol unfairness.
  • Traditional MAC protocols, using binary exponential back-off, favor the latest successful node, especially under high traffic loads.
  • Hidden nodes in ASNs exacerbate unfairness due to inaccurate traffic load information.

Purpose of the Study:

  • To propose a Neighbor-Channel-Aware (NCA) protocol to enhance MAC protocol fairness in ASNs.
  • To mitigate the negative impact of hidden nodes and inaccurate traffic load information on channel access.

Main Methods:

  • Introduction of an NCA frame for periodic exchange between neighboring nodes to share traffic load information.
  • Implementation of a traffic-loading based back-off algorithm for cooperative adjustment of inter-frame space (IFS) intervals.

Main Results:

  • The proposed NCA protocol effectively resolves inaccurate traffic load information.
  • It avoids reducing the probability of successful message transmission.
  • Simulation results demonstrate satisfied fairness and prevention of network overloads.

Conclusions:

  • The NCA protocol significantly improves fairness in ASN MAC protocols.
  • It ensures successful transmission of critical messages by maintaining network stability.
  • This approach offers a robust solution for fair resource allocation in ASNs.