Toward in-flight Wi-Fi: a neuro-fuzzy based routing approach for Civil Aeronautical Ad hoc Network-Reference-Cited by-同舟云学术

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Toward in-flight Wi-Fi: a neuro-fuzzy based routing approach for Civil Aeronautical Ad hoc Network

Published:2022-01-30 Issue:15 Volume:26 Page:7401-7422
ISSN:1432-7643
Container-title:Soft Computing
language:en
Short-container-title:Soft Comput

Author:

Gurumekala T.,Indira Gandhi S.

Funder

University Grants Commission

Publisher

Springer Science and Business Media LLC

Subject

Geometry and Topology,Theoretical Computer Science,Software

Link

https://link.springer.com/content/pdf/10.1007/s00500-021-06677-2.pdf

Reference55 articles.

1. Adege AB, Lin H-P, Tarekegn GB, Munaye YY, Yen L (2018) An indoor and outdoor positioning using a hybrid of support vector machine and deep neural network algorithms. J Sens. https://doi.org/10.1155/2018/1253752

2. Berenji HR, Khedkar P (1992) Learning and tuning fuzzy logic controllers through reinforcements. IEEE Trans Neural Netw 3:724–740. https://doi.org/10.1109/72.159061

3. Brooker P (2008) SESAR and NextGen–research for the future of air traffic management. J Navig 61:195–220

4. Buzzi S, Chih-Lin I, Klein TE, Vincent Poor H, Yang C, Zappone A (2016) A survey of energy-efficient techniques for 5G networks and challenges ahead. IEEE J Select Areas Commun 34(4):697–709. https://doi.org/10.1109/JSAC.2016.2550338

5. Chettri L, Bera R (2020) A comprehensive survey on Internet of Things (IoT) toward 5G wireless systems. IEEE I Internet Things J 7(1):16–32. https://doi.org/10.1109/JIOT.2019.2948888

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2. Civil Aeronautical Ad Hoc Network Zero-Overhead Clustering Algorithm Based on Realtime Position Information of the Aircraft;Electronics;2024-01-04

3. Internet of things and aviation: a bibliometric and visualization analysis;Kybernetes;2023-07-13

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