# Fully Distributed Packet Scheduling Framework for Handling Disturbances in Lossy Real-Time Wireless Networks

## TL;DR

This paper introduces FD-PaS, a fully distributed packet scheduling framework for real-time wireless networks that ensures quick disturbance response and maintains QoS without centralized control, suitable for industrial IoT applications.

## Contribution

The paper proposes a novel distributed scheduling framework, FD-PaS, that enables local decision-making to handle disturbances efficiently in lossy, real-time wireless networks.

## Key findings

- Validated through extensive simulations and testbed experiments.
- Demonstrated fast disturbance response with minimal QoS degradation.
- Showed scalability and robustness of the distributed approach.

## Abstract

Along with the rapid growth of Industrial Internet-of-Things (IIoT) applications and their penetration into many industry sectors, real-time wireless networks (RTWNs) have been playing a more critical role in providing real-time, reliable and secure communication services for such applications. A key challenge in RTWN management is how to ensure real-time Quality of Services (QoS) especially in the presence of unexpected disturbances and lossy wireless links. Most prior work takes centralized approaches for handling disturbances, which are slow and subject to single-point failure, and do not scale. To overcome these drawbacks, this paper presents a fully distributed packet scheduling framework called FD-PaS. FD-PaS aims to provide guaranteed fast response to unexpected disturbances while achieving minimum performance degradation for meeting the timing and reliability requirements of all critical tasks. To combat the scalability challenge, FD-PaS incorporates several key advances in both algorithm design and data link layer protocol design to enable individual nodes to make on-line decisions locally without any centralized control. Our extensive simulation and testbed results have validated the correctness of the FD-PaS design and demonstrated its effectiveness in providing fast response for handling disturbances while ensuring the designated QoS requirements.