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A Global Optimization-Based Routing Protocol for Cognitive-Radio-Enabled Smart Grid AMI Networks

Research output: Contribution to journalArticle

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A Global Optimization-Based Routing Protocol for Cognitive-Radio-Enabled Smart Grid AMI Networks. / Aghvami, Abdol-Hamid; Yang, Zhutian; Ping, Shuyu; Aijaz, Adnan.

In: IEEE Systems Journal, Vol. 12, No. 1, 03.2018, p. 1015.

Research output: Contribution to journalArticle

Harvard

Aghvami, A-H, Yang, Z, Ping, S & Aijaz, A 2018, 'A Global Optimization-Based Routing Protocol for Cognitive-Radio-Enabled Smart Grid AMI Networks', IEEE Systems Journal, vol. 12, no. 1, pp. 1015.

APA

Aghvami, A-H., Yang, Z., Ping, S., & Aijaz, A. (2018). A Global Optimization-Based Routing Protocol for Cognitive-Radio-Enabled Smart Grid AMI Networks. IEEE Systems Journal, 12(1), 1015.

Vancouver

Aghvami A-H, Yang Z, Ping S, Aijaz A. A Global Optimization-Based Routing Protocol for Cognitive-Radio-Enabled Smart Grid AMI Networks. IEEE Systems Journal. 2018 Mar;12(1):1015.

Author

Aghvami, Abdol-Hamid ; Yang, Zhutian ; Ping, Shuyu ; Aijaz, Adnan. / A Global Optimization-Based Routing Protocol for Cognitive-Radio-Enabled Smart Grid AMI Networks. In: IEEE Systems Journal. 2018 ; Vol. 12, No. 1. pp. 1015.

Bibtex Download

@article{f2b233ec6e0b4e6cb513e7c36466b9eb,
title = "A Global Optimization-Based Routing Protocol for Cognitive-Radio-Enabled Smart Grid AMI Networks",
abstract = "Advanced metering infrastructure (AMI) networks,which are an integral component of the smart grid ecosystem, arepractically deployed as a static multihop wireless mesh network.Recently, routing solutions for AMI networks have attracted a lotof attention in the literature. On the other hand, it is expected thatthe use of cognitive radio (CR) technology for AMI networks willbe indispensable in near future. This paper investigates a globaloptimization-based routing protocol for enhancing quality of servicein CR-enabled AMI networks. In accordance with practicalrequirements of smart grid applications, we propose a newRPL-based routing protocol, termed as directional mutation antcolony optimization-based cognitive RPL (DMACO-RPL), for CRenabledAMI networks. This protocol utilizes a global optimizationalgorithm to select the best route from the whole network. In addition,DMACO-RPL explicitly protects primary (licensed) userswhile meeting the utility requirements of the secondary network.System-level simulations demonstrate that the proposed protocolenhances the performance of existing RPL-based routing protocolsfor CR-enabled AMI networks.",
author = "Abdol-Hamid Aghvami and Zhutian Yang and Shuyu Ping and Adnan Aijaz",
year = "2018",
month = "3",
language = "English",
volume = "12",
pages = "1015",
journal = "IEEE Systems Journal",
number = "1",

}

RIS (suitable for import to EndNote) Download

TY - JOUR

T1 - A Global Optimization-Based Routing Protocol for Cognitive-Radio-Enabled Smart Grid AMI Networks

AU - Aghvami, Abdol-Hamid

AU - Yang, Zhutian

AU - Ping, Shuyu

AU - Aijaz, Adnan

PY - 2018/3

Y1 - 2018/3

N2 - Advanced metering infrastructure (AMI) networks,which are an integral component of the smart grid ecosystem, arepractically deployed as a static multihop wireless mesh network.Recently, routing solutions for AMI networks have attracted a lotof attention in the literature. On the other hand, it is expected thatthe use of cognitive radio (CR) technology for AMI networks willbe indispensable in near future. This paper investigates a globaloptimization-based routing protocol for enhancing quality of servicein CR-enabled AMI networks. In accordance with practicalrequirements of smart grid applications, we propose a newRPL-based routing protocol, termed as directional mutation antcolony optimization-based cognitive RPL (DMACO-RPL), for CRenabledAMI networks. This protocol utilizes a global optimizationalgorithm to select the best route from the whole network. In addition,DMACO-RPL explicitly protects primary (licensed) userswhile meeting the utility requirements of the secondary network.System-level simulations demonstrate that the proposed protocolenhances the performance of existing RPL-based routing protocolsfor CR-enabled AMI networks.

AB - Advanced metering infrastructure (AMI) networks,which are an integral component of the smart grid ecosystem, arepractically deployed as a static multihop wireless mesh network.Recently, routing solutions for AMI networks have attracted a lotof attention in the literature. On the other hand, it is expected thatthe use of cognitive radio (CR) technology for AMI networks willbe indispensable in near future. This paper investigates a globaloptimization-based routing protocol for enhancing quality of servicein CR-enabled AMI networks. In accordance with practicalrequirements of smart grid applications, we propose a newRPL-based routing protocol, termed as directional mutation antcolony optimization-based cognitive RPL (DMACO-RPL), for CRenabledAMI networks. This protocol utilizes a global optimizationalgorithm to select the best route from the whole network. In addition,DMACO-RPL explicitly protects primary (licensed) userswhile meeting the utility requirements of the secondary network.System-level simulations demonstrate that the proposed protocolenhances the performance of existing RPL-based routing protocolsfor CR-enabled AMI networks.

M3 - Article

VL - 12

SP - 1015

JO - IEEE Systems Journal

JF - IEEE Systems Journal

IS - 1

ER -

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