GRU based optimal restricted access window mechanism for enhancing the performance of IEEE 802.11ah based IoT networks
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Computer Science
Link
https://link.springer.com/content/pdf/10.1007/s12652-023-04670-1.pdf
Reference49 articles.
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2. Ali MZ, Mišić J, Mišić VB (2019a) Performance Evaluation of Heterogeneous IoT Nodes With Differentiated QoS in IEEE 802.11ah RAW Mechanism. IEEE Trans Veh Technol 68(4):3905–3918
3. Ali R, Shahin N, Zikria YB et al (2019) Deep reinforcement learning paradigm for performance optimization of channel observation-based MAC protocols in dense WLANs. IEEE Access 7:3500–3511
4. Bai S, Yan M, Wan Q et al (2020) DL-RNN: An Accurate Indoor Localization Method via Double RNNs. IEEE Sens J 20(1):286–295
5. Bel A, Adame T, Bellalta B (2018) An energy consumption model for IEEE 802.11ah WLANs. Ad Hoc Netw 72:14–26
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1. Deep Reinforcement Learning for Optimizing Restricted Access Window in IEEE 802.11ah MAC Layer;Sensors;2024-05-10
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