Source Routing for Distributed Big Data-Based Cognitive Internet of Things (CIoT)
journal contributionposted 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.
Published inWireless Communications and Mobile Computing
VersionVoR (Version of Record)
CitationBegum, 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.
Cardiff Met Affiliation
- Cardiff School of Technologies