An energy-efficient routing protocol for cognitive radio enabled AMI networks in smart grid

Zhutian Yang; Yiming Gu; Zhilu Wu; Nan Zhao; Xianbin Wang

doi:10.1109/VTCFall.2017.8287965

An energy-efficient routing protocol for cognitive radio enabled AMI networks in smart grid

Zhutian Yang
, Yiming Gu
, Zhilu Wu
, Nan Zhao
, Xianbin Wang

School of Electronics and Information Engineering, Harbin Institute of Technology
Dalian University of Technology
Western University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

5 Scopus citations

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.

Original language	English
Title of host publication	2017 IEEE 86th Vehicular Technology Conference, VTC Fall 2017 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1-5
Number of pages	5
ISBN (Electronic)	9781509059355
DOIs	https://doi.org/10.1109/VTCFall.2017.8287965
State	Published - 2 Jul 2017
Externally published	Yes
Event	86th IEEE Vehicular Technology Conference, VTC Fall 2017 - Toronto, Canada Duration: 24 Sep 2017 → 27 Sep 2017

Publication series

Name	IEEE Vehicular Technology Conference
Volume	2017-September
ISSN (Print)	1550-2252

Conference

Conference	86th IEEE Vehicular Technology Conference, VTC Fall 2017
Country/Territory	Canada
City	Toronto
Period	24/09/17 → 27/09/17

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

AMI
Cognitive radio
Energy efficiency
Green communication
Smart grid

Access to Document

10.1109/VTCFall.2017.8287965

Cite this

Yang, Z., Gu, Y., Wu, Z., Zhao, N., & Wang, X. (2017). An energy-efficient routing protocol for cognitive radio enabled AMI networks in smart grid. In 2017 IEEE 86th Vehicular Technology Conference, VTC Fall 2017 - Proceedings (pp. 1-5). (IEEE Vehicular Technology Conference; Vol. 2017-September). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/VTCFall.2017.8287965

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title = "An energy-efficient routing protocol for cognitive radio enabled AMI networks in smart grid",

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.",

keywords = "AMI, Cognitive radio, Energy efficiency, Green communication, Smart grid",

author = "Zhutian Yang and Yiming Gu and Zhilu Wu and Nan Zhao and Xianbin Wang",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 86th IEEE Vehicular Technology Conference, VTC Fall 2017 ; Conference date: 24-09-2017 Through 27-09-2017",

year = "2017",

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doi = "10.1109/VTCFall.2017.8287965",

language = "英语",

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Yang, Z, Gu, Y, Wu, Z, Zhao, N & Wang, X 2017, An energy-efficient routing protocol for cognitive radio enabled AMI networks in smart grid. in 2017 IEEE 86th Vehicular Technology Conference, VTC Fall 2017 - Proceedings. IEEE Vehicular Technology Conference, vol. 2017-September, Institute of Electrical and Electronics Engineers Inc., pp. 1-5, 86th IEEE Vehicular Technology Conference, VTC Fall 2017, Toronto, Canada, 24/09/17. https://doi.org/10.1109/VTCFall.2017.8287965

An energy-efficient routing protocol for cognitive radio enabled AMI networks in smart grid. / Yang, Zhutian; Gu, Yiming; Wu, Zhilu et al.
2017 IEEE 86th Vehicular Technology Conference, VTC Fall 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2017. p. 1-5 (IEEE Vehicular Technology Conference; Vol. 2017-September).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Zhao, Nan

AU - Wang, Xianbin

PY - 2017/7/2

Y1 - 2017/7/2

N2 - 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.

AB - 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.

KW - AMI

KW - Cognitive radio

KW - Energy efficiency

KW - Green communication

KW - Smart grid

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ER -

An energy-efficient routing protocol for cognitive radio enabled AMI networks in smart grid

Abstract

Publication series

Conference

UN SDGs

Keywords

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