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Source Routing for Distributed Big Data-Based Cognitive Internet of Things (CIoT)

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journal contribution
posted on 11.11.2021, 15:05 by Seema Begum, Yao Nianmin, Syed Bilal Hussain Shah, Asrin Abdollahi, Inam Ullah Khan, Liqaa NawafLiqaa Nawaf
Dynamic opportunistic channel access with software-defined radio at a network layer in distributed cognitive IoT introduces a concurrent channel selection along with end-to-end route selection for application data transmission. State-of-the-art cognitive IoT big data-based routing protocols are not explored in terms of how the spectrum management is being coordinated with the network layer for concurrent channel route selection during end-to-end channel route discovery for data transmission of IoT and big data applications. In this paper, a reactive big data-based “cognitive dynamic source routing protocol” is proposed for cognitive-based IoT networks to concurrently select the channel route at the network layer from source to destination. Experimental results show that the proposed protocol cognitive DSR with concurrent channel route selection criteria is outperformed. This will happen when it is compared with the existing distributed cognitive DSR with independent channel route application data transmission.

History

Published in

Wireless Communications and Mobile Computing

Publisher

Hindawi

Acceptance Date

15/07/2021

Publication Date

01/08/2021

Version

VoR (Version of Record)

Citation

Begum, S., Nianmin, Y., Shah, S.B.H., Abdollahi, A., Khan, I.U. and Nawaf, L. (2021) 'Source Routing for Distributed Big Data-Based Cognitive Internet of Things (CIoT)', Wireless Communications and Mobile Computing, 2021.

Print ISSN

1530-8669

Electronic ISSN

1530-8677

Cardiff Met Affiliation

  • Cardiff School of Technologies

Cardiff Met Authors

Liqaa Nawaf

Copyright Holder

© The Authors

Language

en

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