DeepPlace: Deep reinforcement learning for adaptive flow rule placement in Software-Defined IoT Networks

Author:

Nguyen Tri GiaORCID,Phan Trung V.,Hoang Dinh ThaiORCID,Nguyen Hai Hoang,Le Duc TranORCID

Funder

National Foundation for Science and Technology Development

Publisher

Elsevier BV

Subject

Computer Networks and Communications

Reference31 articles.

1. A survey of software-defined networking: Past, present, and future of programmable networks;Nunes;IEEE Commun. Surv. Tutor.,2014

2. Search: A collaborative and intelligent nids architecture for sdn-based cloud iot networks;Nguyen;IEEE Access,2019

3. QoS-aware adaptive flow-rule aggregation in software-defined IoT;Saha,2018

4. QoE-aware 3D video streaming via deep reinforcement learning in software defined networking enabled mobile edge computing;Zhou;IEEE Trans. Netw. Sci. Eng.,2020

5. An SDN architecture for time sensitive industrial IoT;Balasubramanian;Comput. Netw.,2021

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