Performance analysis of QoS in IoT based cognitive radio Ad Hoc network-Reference-Cited by-同舟云学术

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Performance analysis of QoS in IoT based cognitive radio Ad Hoc network

Published:2020-05-27 Issue:23 Volume:33 Page:
ISSN:1532-0626
Container-title:Concurrency and Computation: Practice and Experience
language:en
Short-container-title:Concurrency Computat Pract Exper

Author:

Afzal Humaira¹^ORCID,Mufti Muhammad²,Raza Aamir¹,Hassan Abbas¹

Affiliation:

1. Department of Computer Science Bahauddin Zakariya University Multan Pakistan

2. Department of Computer Science COMSATS University Islamabad, Vehari Campus Vehari Pakistan

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cpe.5853

Reference35 articles.

1. A tutorial survey on vehicular ad hoc networks

2. SajjadSM YousafM. Security analysis of IEEE 802.15. 4 MAC in the context of Internet of Things (IoT). Paper presented at: Proceeding of IEEE Conference on Information Assurance and Cyber Security (CIACS) pp. 9‐14 June 12 2014 Rawalpindi Pakistan.

3. Multi-level simulation of Internet of Things on smart territories

4. SajjadSM YousafM. UCAM: usage communication and access monitoring based detection system for IoT botnets. Paper presented at: Proceeding of 17th IEEE International Conference On Trust Security and Privacy in Computing And Communications/(TrustCom) pp. 1547–1550 August 1‐3 2018 New York USA.

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1. A Unique PUF Authentication Protocol Based Fuzzy Logic Categorization for Internet of Things (IOT) Devices;Proceedings of the 2023 12th International Conference on Software and Computer Applications;2023-02-23

2. Hybrid Error Detection Based Spectrum Sharing Protocol for Cognitive Radio Networks with BER Analysis;Lecture Notes in Electrical Engineering;2023

3. Convergence of cloud, Internet of Things, and big data: New platforms and applications;Concurrency and Computation: Practice and Experience;2021-10-06

4. Reinforcement Learning-Based Routing Protocol to Minimize Channel Switching and Interference for Cognitive Radio Networks;Complexity;2020-08-13

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