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Green-RPL : an energy-efficient protocol for cognitive radio enabled AMI network in smart grid
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Yang, Zhutian, Han, Rui, Chen, Yunfei and Wang, Xianbin (2018) Green-RPL : an energy-efficient protocol for cognitive radio enabled AMI network in smart grid. IEEE Access, 6 . pp. 18335-18344. doi:10.1109/ACCESS.2018.2812191 ISSN 2169-3536.
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WRAP-Green-RP-energy-efficient-protocol-cognitive-radio-enabled-AMI-network-Chen-2018.pdf - Accepted Version - Requires a PDF viewer. Download (922Kb) | Preview |
Official URL: https://doi.org/10.1109/ACCESS.2018.2812191
Abstract
With the capacity of overcoming radio spectrum shortages for wireless communications in smart grids, cognitive radio enabled Advanced Metering Infrastructure (CR-AMI) networks are expected to enhance the efficiency and practicability of future smart grids. As an integral component of the smart grid ecosystem, CR-AMI networks are practically deployed as a static multi-hop wireless mesh network. This paper focuses on the investigation of an novel RPL-based routing protocol for enhancing the energy efficiency in CR-AMI networks. In accordance with practical requirements of green communications in smart grids, the proposed routing protocol adopts the energy efficiency over virtual distance as the core of routing mechanism such that the energy-efficient route can be achieved. In addition, the protocol has the mechanism for primary (licensed) users protection whilst meeting the utility requirements of cognitive radio users. System-level evaluation shows that the proposed routing protocol has better performances compared with existing routing protocols for cognitive radio- enabled AMI networks.
Item Type: | Journal Article | |||||||||||||||
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Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering | |||||||||||||||
Divisions: | Faculty of Science, Engineering and Medicine > Engineering > Engineering | |||||||||||||||
Library of Congress Subject Headings (LCSH): | Cognitive radio networks, Smart power grids | |||||||||||||||
Journal or Publication Title: | IEEE Access | |||||||||||||||
Publisher: | IEEE | |||||||||||||||
ISSN: | 2169-3536 | |||||||||||||||
Official Date: | 6 March 2018 | |||||||||||||||
Dates: |
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Volume: | 6 | |||||||||||||||
Page Range: | pp. 18335-18344 | |||||||||||||||
DOI: | 10.1109/ACCESS.2018.2812191 | |||||||||||||||
Status: | Peer Reviewed | |||||||||||||||
Publication Status: | Published | |||||||||||||||
Access rights to Published version: | Restricted or Subscription Access | |||||||||||||||
Date of first compliant deposit: | 5 March 2018 | |||||||||||||||
Date of first compliant Open Access: | 5 March 2018 | |||||||||||||||
RIOXX Funder/Project Grant: |
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