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Traffic Aware Scheduler for Time-Slotted Channel-Hopping-Based IPv6 Wireless Sensor Networks.

Diana Deac1,2,3, Eden Teshome1,4, Roald Van Glabbeek2

  • 1Department of Electronics and Informatics (ETRO), Vrije Universiteit Brussel, Pleinlaan 2, 1050 Brussels, Belgium.

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Summary
This summary is machine-generated.

This study introduces an adaptive scheduler for wireless sensor networks that improves performance during traffic bursts. The new scheduler enhances data transmission reliability and reduces latency in demanding industrial and disaster-detection applications.

Keywords:
IPv6 routing protocol for low-power and lossy networksOrchestratime-slotted channel hoppingtraffic-aware schedulingwireless sensor networks

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Area of Science:

  • Computer Science
  • Network Engineering
  • Wireless Communication

Background:

  • Wireless Sensor Networks (WSNs) are crucial for industrial and disaster-detection systems requiring reliable data transmission.
  • Time-Slotted Channel Hopping (TSCH) provides reliability and power efficiency in WSNs by managing time and frequency resources.
  • Existing schedulers like Orchestra are effective but struggle with unpredictable high-traffic conditions.

Purpose of the Study:

  • To develop an adaptive Orchestra-based scheduler for WSNs capable of handling unpredictable traffic bursts.
  • To improve the performance of WSNs during periods of high network load.

Main Methods:

  • Implemented a novel scheduler that utilizes traffic congestion data from root children and RPL subtree size.
  • Evaluated the scheduler's performance against the standard Orchestra scheduler under varying traffic conditions.

Main Results:

  • The proposed scheduler demonstrated lower latency during traffic bursts compared to Orchestra.
  • A higher Packet Delivery Ratio (PDR) was observed with the new scheduler during bursts.
  • Performance outside of burst periods remained largely unaffected.

Conclusions:

  • The developed adaptive scheduler effectively manages unpredictable traffic bursts in WSNs.
  • This solution enhances WSN reliability and efficiency for critical applications.
  • The scheduler offers a significant improvement over existing methods for dynamic network environments.