Energy efficient wireless communication technique based on Cognitive Radio for Internet of Things

F. F. Qureshi; Rahat Iqbal; M. N. Asghar

doi:10.1016/j.jnca.2017.01.003

Energy efficient wireless communication technique based on Cognitive Radio for Internet of Things

F. F. Qureshi, Rahat Iqbal, M. N. Asghar

Research output: Contribution to journal › Article › peer-review

60 Citations (Scopus)

410 Downloads (Pure)

Abstract

Due to the drastic growth and an upsurge in the wireless communication devices in the world in recent years, there is a high demand of uninterrupted and intelligent connectivity in a self-organising manner amongst the users. It becomes more challenging for the emerging users because of scarcity of bandwidth. To overcome the unforbidden challenges in the advanced technologies like smart cities, 5G and Internet of Things (IoT), Cognitive Radio provides the solution to achieve high throughput and continuous connectivity for reliable communication. A primary challenge in the Cognitive Radio (CR) technology is the identification of dependable Data Channels (DCHs) for Secondary Users (SUs) communication amongst the available channels, and the continuation of communication when the Primary Users (PUs) return. The objective of every SU is to intelligently choose reliable DCHs, thereby ensuring reliable connectivity and successful transfer of data frames across the cognitive networks. The proposed Reliable, Intelligent and Smart Cognitive Radio protocol consumes less computational time and transmits energy with high throughput, as compared to the benchmark Cognitive Radio MAC (CR-MAC) protocols. This paper provides new applications of CR technology for IoT and proposes new and effective solutions to the real challenges in CR technology that will make IoT more affordable and applicable.

Original language	English
Pages (from-to)	14-25
Journal	Journal of Network and Computer Applications
Volume	89
DOIs	https://doi.org/10.1016/j.jnca.2017.01.003
Publication status	Published - 11 Jan 2017

Bibliographical note

NOTICE: this is the author’s version of a work that was accepted for publication in Journal of Network and Computer Applications. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Journal of Network and Computer Applications, [89, (2017)] DOI: 10.1016/j.jnca.2017.01.003

© 2017, Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/

Keywords

MAC protocol
SU
PU
CR
CRN
IOT
Smart technology

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1016/j.jnca.2017.01.003

Post-PrintAccepted author manuscript, 1.34 MBLicence: CC BY-NC-ND

Cite this

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abstract = "Due to the drastic growth and an upsurge in the wireless communication devices in the world in recent years, there is a high demand of uninterrupted and intelligent connectivity in a self-organising manner amongst the users. It becomes more challenging for the emerging users because of scarcity of bandwidth. To overcome the unforbidden challenges in the advanced technologies like smart cities, 5G and Internet of Things (IoT), Cognitive Radio provides the solution to achieve high throughput and continuous connectivity for reliable communication. A primary challenge in the Cognitive Radio (CR) technology is the identification of dependable Data Channels (DCHs) for Secondary Users (SUs) communication amongst the available channels, and the continuation of communication when the Primary Users (PUs) return. The objective of every SU is to intelligently choose reliable DCHs, thereby ensuring reliable connectivity and successful transfer of data frames across the cognitive networks. The proposed Reliable, Intelligent and Smart Cognitive Radio protocol consumes less computational time and transmits energy with high throughput, as compared to the benchmark Cognitive Radio MAC (CR-MAC) protocols. This paper provides new applications of CR technology for IoT and proposes new and effective solutions to the real challenges in CR technology that will make IoT more affordable and applicable.",

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N2 - Due to the drastic growth and an upsurge in the wireless communication devices in the world in recent years, there is a high demand of uninterrupted and intelligent connectivity in a self-organising manner amongst the users. It becomes more challenging for the emerging users because of scarcity of bandwidth. To overcome the unforbidden challenges in the advanced technologies like smart cities, 5G and Internet of Things (IoT), Cognitive Radio provides the solution to achieve high throughput and continuous connectivity for reliable communication. A primary challenge in the Cognitive Radio (CR) technology is the identification of dependable Data Channels (DCHs) for Secondary Users (SUs) communication amongst the available channels, and the continuation of communication when the Primary Users (PUs) return. The objective of every SU is to intelligently choose reliable DCHs, thereby ensuring reliable connectivity and successful transfer of data frames across the cognitive networks. The proposed Reliable, Intelligent and Smart Cognitive Radio protocol consumes less computational time and transmits energy with high throughput, as compared to the benchmark Cognitive Radio MAC (CR-MAC) protocols. This paper provides new applications of CR technology for IoT and proposes new and effective solutions to the real challenges in CR technology that will make IoT more affordable and applicable.

AB - Due to the drastic growth and an upsurge in the wireless communication devices in the world in recent years, there is a high demand of uninterrupted and intelligent connectivity in a self-organising manner amongst the users. It becomes more challenging for the emerging users because of scarcity of bandwidth. To overcome the unforbidden challenges in the advanced technologies like smart cities, 5G and Internet of Things (IoT), Cognitive Radio provides the solution to achieve high throughput and continuous connectivity for reliable communication. A primary challenge in the Cognitive Radio (CR) technology is the identification of dependable Data Channels (DCHs) for Secondary Users (SUs) communication amongst the available channels, and the continuation of communication when the Primary Users (PUs) return. The objective of every SU is to intelligently choose reliable DCHs, thereby ensuring reliable connectivity and successful transfer of data frames across the cognitive networks. The proposed Reliable, Intelligent and Smart Cognitive Radio protocol consumes less computational time and transmits energy with high throughput, as compared to the benchmark Cognitive Radio MAC (CR-MAC) protocols. This paper provides new applications of CR technology for IoT and proposes new and effective solutions to the real challenges in CR technology that will make IoT more affordable and applicable.

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Energy efficient wireless communication technique based on Cognitive Radio for Internet of Things

Abstract

Bibliographical note

Keywords

UN SDGs

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