What is it about?
This publication introduces a new approach to managing the traffic in the Internet of Things (IoT) to ensure high-quality service and prevent overload. By using Software-defined Networking (SDN), the framework balances the traffic between IoT servers and improves the overall performance of IoT services. The proposed method aims to address the increasing challenges of handling large volumes of IoT traffic while maintaining quality and efficiency.
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Why is it important?
This work is unique and timely because it proposes a novel framework based on SDN to manage the traffic in IoT, which is a rapidly growing field. The proposed framework balances the traffic between IoT servers and improves the overall performance of IoT services. The paper also presents a predictive and proactive heuristic method based on time-series analysis and fuzzy logic to solve the NP-hard problem of formulating the IoT traffic distribution as an Integer Linear Programming (ILP) model. This work can be useful for researchers and practitioners in the field of IoT to improve the QoS of IoT services and prevent overload on IoT servers.
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This page is a summary of: Load-Balanced and QoS-Aware Software-Defined Internet of Things, IEEE Internet of Things Journal, April 2020, Institute of Electrical & Electronics Engineers (IEEE),
DOI: 10.1109/jiot.2020.2967081.
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