Improvement of energy-efficient resources for cognitive internet of things using learning automata
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Software
Link
https://link.springer.com/content/pdf/10.1007/s12083-023-01565-y.pdf
Reference43 articles.
1. Naderi M, Mahdaee K, Rahmani P (2023) Hierarchical traffic light-aware routing via fuzzy reinforcement learning in software-defined vehicular networks. Peer-to-Peer Netw Appl 16(2):1174–1198. https://doi.org/10.1007/s12083-022-01424-2
2. Naderi M, Zargari F, Sadatpour V, Ghanbari M (2017) A 3-parameter routing cost function for improving opportunistic routing performance in VANETs. Wirel Pers Commun 97(1):1–15. https://doi.org/10.1007/s11277-017-4496-5
3. Naderi M, Zargari F, Ghanbari M (2019) Adaptive beacon broadcast in opportunistic routing for VANETs. Ad Hoc Netw 86:119–130. https://doi.org/10.1016/j.adhoc.2018.11.011
4. Naderi M, Ghanbari M (2023) Adaptively prioritizing candidate forwarding set in opportunistic routing in VANETs. Ad Hoc Netw 140:103048. https://doi.org/10.1016/j.adhoc.2022.103048
5. Naderi M, Chakareski J, Ghanbari M (2023) Hierarchical Q-learning-enabled neutrosophic AHP scheme in candidate relay set size adaption in vehicular networks. Comput Netw 235:109968. https://doi.org/10.1016/j.comnet.2023.109968
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