Survey on energy harvesting cognitive radio network

Energy harvesting network (EHN) is a trending topic among the recent researches. This substantial attention is due to the limitations, operational cost and risks of the conventional power suppliers, such as fossil fuel and batteries. Moreover, EHN are expected to enhance energy efficiency by harve...

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Main Authors:	Alfaqawi, Mohammed, Habaebi, Mohamed Hadi, Siddiqi, Mohammad Umar, Islam, Md. Rafiqul, Zyoud, Al-Hareth, Al-Shibly, Mohammed Abuljawad M.
Format:	Article
Language:	English
Published:	Asian Research Publishing Network (ARPN) 2015
Subjects:	TK5101 Telecommunication. Including telegraphy, radio, radar, television
Online Access:	http://irep.iium.edu.my/47040/ http://irep.iium.edu.my/47040/ http://irep.iium.edu.my/47040/1/jeas_1215_3185.pdf

id	iium-47040
recordtype	eprints
spelling	iium-470402016-07-17T06:54:28Z http://irep.iium.edu.my/47040/ Survey on energy harvesting cognitive radio network Alfaqawi, Mohammed Habaebi, Mohamed Hadi Siddiqi, Mohammad Umar Islam, Md. Rafiqul Zyoud, Al-Hareth Al-Shibly, Mohammed Abuljawad M. TK5101 Telecommunication. Including telegraphy, radio, radar, television Energy harvesting network (EHN) is a trending topic among the recent researches. This substantial attention is due to the limitations, operational cost and risks of the conventional power suppliers, such as fossil fuel and batteries. Moreover, EHN are expected to enhance energy efficiency by harvesting energy of RF and renewable sources. In contemporary research works, EHN is applied to CR technology. This energy harvesting cognitive radio network (EHCRN) is expected to utilize both energy and electromagnetic spectrum efficiently. However, EH-CRN is facing enormous challenges related to technical design. Some of these challenges are reviewed in recent surveys. However, other challenges such as optimizing the network throughput and EH-CRN implementation models were not the focus of these researches. Therefore, the aim of this survey is to review EH-CRN research works by focusing the survey perspective on maximizing the network throughput and the implementation models. Asian Research Publishing Network (ARPN) 2015-12-20 Article PeerReviewed application/pdf en http://irep.iium.edu.my/47040/1/jeas_1215_3185.pdf Alfaqawi, Mohammed and Habaebi, Mohamed Hadi and Siddiqi, Mohammad Umar and Islam, Md. Rafiqul and Zyoud, Al-Hareth and Al-Shibly, Mohammed Abuljawad M. (2015) Survey on energy harvesting cognitive radio network. ARPN Journal of Engineering and Applied Sciences, 10 (23). pp. 17407-17415. ISSN 1819-6608 http://www.arpnjournals.com/jeas/index.htm
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	TK5101 Telecommunication. Including telegraphy, radio, radar, television
spellingShingle	TK5101 Telecommunication. Including telegraphy, radio, radar, television Alfaqawi, Mohammed Habaebi, Mohamed Hadi Siddiqi, Mohammad Umar Islam, Md. Rafiqul Zyoud, Al-Hareth Al-Shibly, Mohammed Abuljawad M. Survey on energy harvesting cognitive radio network
description	Energy harvesting network (EHN) is a trending topic among the recent researches. This substantial attention is due to the limitations, operational cost and risks of the conventional power suppliers, such as fossil fuel and batteries. Moreover, EHN are expected to enhance energy efficiency by harvesting energy of RF and renewable sources. In contemporary research works, EHN is applied to CR technology. This energy harvesting cognitive radio network (EHCRN) is expected to utilize both energy and electromagnetic spectrum efficiently. However, EH-CRN is facing enormous challenges related to technical design. Some of these challenges are reviewed in recent surveys. However, other challenges such as optimizing the network throughput and EH-CRN implementation models were not the focus of these researches. Therefore, the aim of this survey is to review EH-CRN research works by focusing the survey perspective on maximizing the network throughput and the implementation models.
format	Article
author	Alfaqawi, Mohammed Habaebi, Mohamed Hadi Siddiqi, Mohammad Umar Islam, Md. Rafiqul Zyoud, Al-Hareth Al-Shibly, Mohammed Abuljawad M.
author_facet	Alfaqawi, Mohammed Habaebi, Mohamed Hadi Siddiqi, Mohammad Umar Islam, Md. Rafiqul Zyoud, Al-Hareth Al-Shibly, Mohammed Abuljawad M.
author_sort	Alfaqawi, Mohammed
title	Survey on energy harvesting cognitive radio network
title_short	Survey on energy harvesting cognitive radio network
title_full	Survey on energy harvesting cognitive radio network
title_fullStr	Survey on energy harvesting cognitive radio network
title_full_unstemmed	Survey on energy harvesting cognitive radio network
title_sort	survey on energy harvesting cognitive radio network
publisher	Asian Research Publishing Network (ARPN)
publishDate	2015
url	http://irep.iium.edu.my/47040/ http://irep.iium.edu.my/47040/ http://irep.iium.edu.my/47040/1/jeas_1215_3185.pdf
first_indexed	2023-09-18T21:06:56Z
last_indexed	2023-09-18T21:06:56Z
_version_	1777410996207353856

Survey on energy harvesting cognitive radio network

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