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NetIIoT 2021 : State-of-Art of Network Architectures and Protocols for Industrial IoT

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Link: https://www.mdpi.com/journal/applsci/special_issues/network_architectures_protocols_industrial_IoT
 
When N/A
Where N/A
Submission Deadline Sep 20, 2021
Categories    network architectures   protocols   iiot
 

Call For Papers

Dear Colleagues,

This MDPI Applied Sciences Special issue focuses on the debate on aspects concerning networking architectures and protocols for a global IoT, with particular focus for Industrial IoT and challenges that may arise in future environments. The Special Issue envisions the following main aspects:

- Architectural and evolutionary vision of IoT networking protocols and architectures, including the support of multi-party communication (decentralized communication), QoS, integrated security, mobility, and intelligence (context-awareness, behavior learning, and inference).
- Architectural integration aspects, in particular solutions that address a better interaction between applications and infrastructure, e.g., derived from semantic technologies.
- Edge networking aspects for IoT optimization, such as distribution/orchestration of networking functions to best support data processing and aggregation, mobility, resilience, and power saving.
- Network performance measurements that assist in understanding the performance of the current available communication protocols in a variety of scenarios, including industrial IoT scenarios.
- Design and evaluation of scenarios exploiting architectural, user-centric, and content-centric paradigms, e.g., information centric networking.
- Design and evaluation of decentralized edge architectures, e.g., involving end-user devices (far edge) and near edge devices for industrial environments.
- Deterministic wireless solutions and scenarios, e.g., application of wireless solutions in closed-loop industrial environments, as well as long-range communication scenarios.
- Protocol interoperability discussion and evaluation, in particular solutions that can assist in the automated support of data interoperability.
- Integration of AI on decentralized Edge environments, e.g., methods to optimize AI, decentralized AI approaches applicable both to the edge (including end-user devices) and cloud; and evaluation of AI solutions/ML models and their suitability to advanced scenarios, e.g., for massive mobile IoT support.


Guest Editor: Rute C. Sofia, fortiss GmbH, Munich

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