Survey on Edge Computing and Internet of Things (IoT)-for Low-Latency Industrial Automation
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Abstract
Abstract— Edge Computing and Internet of Things (IoT)
has significantly changed the face of industrial automation,
which is now able to support low-latency communication,
real-time decision-making, and generally enhanced
operational efficiency in smart manufacturing
environments. This review delivers an in-depth survey of the
research trends, the architectures, and the applications
which combine the two technologies - edge and IoT - in
industrial settings. Based on the examination of numerous
researches, the article demonstrates how the local data
processing at the edge not only lessens the congestion of the
network but also increases the reliability and thus makes
possible predictive maintenance, smart manufacturing, and
energy optimization main contributors of Industrial
Internet of Things (IIoT) such as MQTT, CoAP, and fog
computing frameworks, and points their significance in
achieving deterministic and secure industrial operations,
unveils issues that have been left unsolved, such as
scalability, interoperability, energy efficiency, and real-time
analytics under high data loads, amid substantial progress
made so far. In the end, they have a roadmap with emphasis
on AI-driven edge optimization, 6G-enabled connectivity,
and environmentally friendly industrial IoT ecosystems as
the key to unlocking not only the full potential of Industry
4.0 but also the beyond
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