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CRB-RPL: A Receiver-based Routing Protocol for Communications in Cognitive Radio Enabled Smart Grid

Yang, Zhutian; Ping, Shuyu; Sun, Hongjian; Aghvami, A. Hamid

CRB-RPL: A Receiver-based Routing Protocol for Communications in Cognitive Radio Enabled Smart Grid Thumbnail


Authors

Zhutian Yang

Shuyu Ping

A. Hamid Aghvami



Abstract

As a tool of overcoming radio spectrum shortages in wireless communications, cognitive radio technology plays a vital role in future smart grid applications, particularly in Advanced Metering Infrastructure (AMI) networks with Quality of Service (QoS) requirements. This paper focuses on the investigation of the receiver-based routing protocol for enhancing QoS in cognitive radio-enabled AMI networks, due to their potentials of enhancing reliability and routing efficiency. In accordance with practical requirements of smart grid applications, a new routing protocol with two purposes is proposed: one is to address the realtime requirement while another protocol focuses on how to meet energy efficiency requirements. As a special feature of cognitive radio technology, the protocol have the mechanism of protecting primary (licensed) users whilst meeting the utility requirements of secondary (cognitive radio) users. System-level evaluation shows that the proposed routing protocol can achieve better performances compared with existing routing protocols for cognitive radio-enabled AMI networks.

Citation

Yang, Z., Ping, S., Sun, H., & Aghvami, A. H. (2016). CRB-RPL: A Receiver-based Routing Protocol for Communications in Cognitive Radio Enabled Smart Grid. IEEE Transactions on Vehicular Technology, 66(7), 5985-5994. https://doi.org/10.1109/tvt.2016.2617874

Journal Article Type Article
Acceptance Date Oct 1, 2016
Online Publication Date Oct 18, 2016
Publication Date Oct 18, 2016
Deposit Date Oct 12, 2016
Publicly Available Date Oct 13, 2016
Journal IEEE Transactions on Vehicular Technology
Print ISSN 0018-9545
Publisher Institute of Electrical and Electronics Engineers
Peer Reviewed Peer Reviewed
Volume 66
Issue 7
Pages 5985-5994
DOI https://doi.org/10.1109/tvt.2016.2617874

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Accepted Journal Article (2.5 Mb)
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© 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.





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