SD-FFR: Software Defined Fast Failure Recovery Mechanism in the Automatic Warehouse
Ting-Cian Bai, Chin-Ya Huang

TL;DR
This paper introduces SD-FFR, a software-defined mechanism that rapidly detects and recovers from link failures in automated warehouse networks, enhancing reliability and load balancing.
Contribution
The paper presents a novel SDN-based failure recovery mechanism that improves detection speed and load balancing in warehouse automation networks.
Findings
Rapid link failure detection within milliseconds
Improved network throughput and reliability
Effective load balancing during failures
Abstract
Due to the rapid development of IoT technology, automatic guided vehicles (AGVs) interact with an industrial control system (ICS) through the wireless network to support the freight distribution in the automated warehouse. However, the message exchange among AGVs and the ICS would experience large packet loss or long transmission delay, in the presence of wireless network link failure and link congestion. Therefore, the performance of warehouse automation would be degraded. In this paper, we propose the Software Defined Fast Failure Recovery(SD-FFR) mechanism, aiming to improve network reliability and avoid link congestion caused by load unbalance. With SD-FFR, when link failure occurs, the SDN controller actively detects the link failure within milliseconds, and then reroutes the affected traffic flows accordingly. The proposed SD-FFR mechanism also takes load balance into…
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Taxonomy
TopicsSoftware-Defined Networks and 5G · Software System Performance and Reliability · IoT and Edge/Fog Computing
