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Updated: Jul 23, 2026

Time-dependent Increase in the Network Response to the Stimulation of Neuronal Cell Cultures on Micro-electrode Arrays

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Adaptive Cell Scheduling and Negotiation Techniques for 6TiSCH Networks Under Bursty Traffic.

Je-Hyeong Lee¹, Sang-Hwa Chung¹

¹Department of Information Convergence Engineering, Pusan National University, Busan 46241, Republic of Korea.

Sensors (Basel, Switzerland)

|March 17, 2025

Summary

This study introduces dynamic scheduling for 6TiSCH networks to prevent packet overflow during high traffic. The new methods improve packet delivery and reduce latency in low-power and lossy networks.

Keywords:

6TiSCH 6top protocol cell allocation minimal scheduling function wireless sensor network

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Last Updated: Jul 23, 2026

Time-dependent Increase in the Network Response to the Stimulation of Neuronal Cell Cultures on Micro-electrode Arrays

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Published on: May 29, 2017

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Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

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Published on: September 8, 2023

Area of Science:

Computer Science
Networking
Wireless Communication

Background:

6TiSCH networks utilize IEEE 802.15.4e TSCH for low-power and lossy networks.
Traditional Minimal Scheduling Function (MSF) struggles with bursty traffic, leading to packet queue overflow.

Purpose of the Study:

To address packet queue overflow and inefficient resource utilization in 6TiSCH networks under bursty traffic.
To enhance the performance of scheduling and cell negotiation in 6TiSCH networks.

Main Methods:

Dynamic cell cycle adjustment based on link quality and queue utilization.
Parent node 6P transaction forwarding to expedite cell addition requests during traffic spikes.

Main Results:

The proposed techniques significantly improve packet delivery ratio (PDR) and reduce latency.
Maintained stable network performance and prevented packet overflow even under bursty traffic conditions.
Demonstrated superior performance compared to conventional MSF, IMSF, and LMSF.

Conclusions:

The proposed dynamic scheduling approach optimizes 6TiSCH network efficiency and reliability.
Effective in managing bursty traffic and preventing packet loss in IoT environments.
Contributes to more robust and efficient wireless communication in low-power networks.