Energy-efficient data transmission with proportional rate fairness for NANs of smart grid communication network

Abstract In smart grid, the neighborhood area network (NAN) serves as a bridge connecting smart meters and meter data management system (MDMS) and is one of the most important components of the smart grid communication network. In this work, we study the energy-efficient data transmissions from NAN...

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Main Authors: Xiaocheng Wang, Qiaoni Han, Yuan Yin, Haogang Ma
Format: Article
Language:English
Published: SpringerOpen 2023-04-01
Series:EURASIP Journal on Advances in Signal Processing
Subjects:
Online Access:https://doi.org/10.1186/s13634-023-01007-0
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author Xiaocheng Wang
Qiaoni Han
Yuan Yin
Haogang Ma
author_facet Xiaocheng Wang
Qiaoni Han
Yuan Yin
Haogang Ma
author_sort Xiaocheng Wang
collection DOAJ
description Abstract In smart grid, the neighborhood area network (NAN) serves as a bridge connecting smart meters and meter data management system (MDMS) and is one of the most important components of the smart grid communication network. In this work, we study the energy-efficient data transmissions from NAN gateways (i.e., routers) to the concentrator that connects the MDMS. Particularly, to assure that each router associated with diverse number of associated smart meters can achieve a required data rate, a set of proportional rate fairness constraints are imposed into the optimization problem. In this case, an optimization problem that balances energy efficiency and fairness is formulated. Due to the fractional form of objective function, the combinatorial constraints on channel allocation variables, and the proportional rate fairness requirements, the formulated energy-efficient data transmission problem is non-convex and extremely computationally complex. In order to solve the problem efficiently, firstly, a subtractive transformation is introduced to handle the objective function, and an iterative algorithm based on Dinkelbach method is proposed; then for the inner loop optimization problem in each iteration, a low-complexity suboptimal algorithm that separates channel allocation and power distribution is developed. Finally, numerical results demonstrate that the proposed algorithm converges in a few steps and achieves a near-optimal energy efficiency performance.
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spelling doaj.art-38c0d55043b640a0bdb94710b0c896412023-04-16T11:27:54ZengSpringerOpenEURASIP Journal on Advances in Signal Processing1687-61802023-04-012023111410.1186/s13634-023-01007-0Energy-efficient data transmission with proportional rate fairness for NANs of smart grid communication networkXiaocheng Wang0Qiaoni Han1Yuan Yin2Haogang Ma3Tianjin Key Laboratory of Wireless Mobile Communications and Power Transmission, College of Electronic and Communication Engineering, Tianjin Normal UniversityKey Laboratory of System Control and Information Processing, Ministry of EducationTianjin Key Laboratory of Wireless Mobile Communications and Power Transmission, College of Electronic and Communication Engineering, Tianjin Normal UniversityTianjin Key Laboratory of Wireless Mobile Communications and Power Transmission, College of Electronic and Communication Engineering, Tianjin Normal UniversityAbstract In smart grid, the neighborhood area network (NAN) serves as a bridge connecting smart meters and meter data management system (MDMS) and is one of the most important components of the smart grid communication network. In this work, we study the energy-efficient data transmissions from NAN gateways (i.e., routers) to the concentrator that connects the MDMS. Particularly, to assure that each router associated with diverse number of associated smart meters can achieve a required data rate, a set of proportional rate fairness constraints are imposed into the optimization problem. In this case, an optimization problem that balances energy efficiency and fairness is formulated. Due to the fractional form of objective function, the combinatorial constraints on channel allocation variables, and the proportional rate fairness requirements, the formulated energy-efficient data transmission problem is non-convex and extremely computationally complex. In order to solve the problem efficiently, firstly, a subtractive transformation is introduced to handle the objective function, and an iterative algorithm based on Dinkelbach method is proposed; then for the inner loop optimization problem in each iteration, a low-complexity suboptimal algorithm that separates channel allocation and power distribution is developed. Finally, numerical results demonstrate that the proposed algorithm converges in a few steps and achieves a near-optimal energy efficiency performance.https://doi.org/10.1186/s13634-023-01007-0Smart gridNeighborhood area networkWiMAXEnergy-efficiencyProportional rate fairness
spellingShingle Xiaocheng Wang
Qiaoni Han
Yuan Yin
Haogang Ma
Energy-efficient data transmission with proportional rate fairness for NANs of smart grid communication network
EURASIP Journal on Advances in Signal Processing
Smart grid
Neighborhood area network
WiMAX
Energy-efficiency
Proportional rate fairness
title Energy-efficient data transmission with proportional rate fairness for NANs of smart grid communication network
title_full Energy-efficient data transmission with proportional rate fairness for NANs of smart grid communication network
title_fullStr Energy-efficient data transmission with proportional rate fairness for NANs of smart grid communication network
title_full_unstemmed Energy-efficient data transmission with proportional rate fairness for NANs of smart grid communication network
title_short Energy-efficient data transmission with proportional rate fairness for NANs of smart grid communication network
title_sort energy efficient data transmission with proportional rate fairness for nans of smart grid communication network
topic Smart grid
Neighborhood area network
WiMAX
Energy-efficiency
Proportional rate fairness
url https://doi.org/10.1186/s13634-023-01007-0
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AT qiaonihan energyefficientdatatransmissionwithproportionalratefairnessfornansofsmartgridcommunicationnetwork
AT yuanyin energyefficientdatatransmissionwithproportionalratefairnessfornansofsmartgridcommunicationnetwork
AT haogangma energyefficientdatatransmissionwithproportionalratefairnessfornansofsmartgridcommunicationnetwork