Dynamic smart grid communication parameters based cognitive radio network

Haider Tarish Haider, Dhiaa Halboot Muhsen, Haider Ismael Shahadi, Hang See Ong, Wilfried Elmenreich

Research output: Contribution to journalArticle

Abstract

The demand for more spectrums in a smart grid communication network is a significant challenge in originally scarce spectrum resources. Cognitive radio (CR) is a powerful technique for solving the spectrum scarcity problem by adapting the transmission parameters according to predefined objectives in an active wireless communication network. This paper presents a cognitive radio decision engine that dynamically selects optimal radio transmission parameters for wireless home area networks (HAN) of smart grid applications via the multi-objective differential evolution (MODE) optimization method. The proposed system helps to drive optimal communication parameters to realize power saving, maximum throughput and minimum bit error rate communication modes. A differential evolution algorithm is used to select the optimal transmission parameters for given communication modes based on a fitness function that combines multiple objectives based on appropriate weights. Simulation results highlight the superiority of the proposed system in terms of accuracy and convergence as compared with other evolution algorithms (genetic optimization, particle swarm optimization, and ant colony optimization) for different communication modes (power saving mode, high throughput mode, emergency communication mode, and balanced mode).

Original languageEnglish
Pages (from-to)248-259
Number of pages12
JournalActa Polytechnica
Volume59
Issue number3
DOIs
Publication statusPublished - 01 Jan 2019

Fingerprint

Cognitive radio
Communication
Telecommunication networks
Throughput
Radio transmission
Ant colony optimization
Bit error rate
Particle swarm optimization (PSO)
Genetic algorithms
Engines

All Science Journal Classification (ASJC) codes

  • Engineering(all)

Cite this

Haider, Haider Tarish ; Muhsen, Dhiaa Halboot ; Shahadi, Haider Ismael ; Ong, Hang See ; Elmenreich, Wilfried. / Dynamic smart grid communication parameters based cognitive radio network. In: Acta Polytechnica. 2019 ; Vol. 59, No. 3. pp. 248-259.
@article{c4e476731ad746ddb988ba75a1db1b9d,
title = "Dynamic smart grid communication parameters based cognitive radio network",
abstract = "The demand for more spectrums in a smart grid communication network is a significant challenge in originally scarce spectrum resources. Cognitive radio (CR) is a powerful technique for solving the spectrum scarcity problem by adapting the transmission parameters according to predefined objectives in an active wireless communication network. This paper presents a cognitive radio decision engine that dynamically selects optimal radio transmission parameters for wireless home area networks (HAN) of smart grid applications via the multi-objective differential evolution (MODE) optimization method. The proposed system helps to drive optimal communication parameters to realize power saving, maximum throughput and minimum bit error rate communication modes. A differential evolution algorithm is used to select the optimal transmission parameters for given communication modes based on a fitness function that combines multiple objectives based on appropriate weights. Simulation results highlight the superiority of the proposed system in terms of accuracy and convergence as compared with other evolution algorithms (genetic optimization, particle swarm optimization, and ant colony optimization) for different communication modes (power saving mode, high throughput mode, emergency communication mode, and balanced mode).",
author = "Haider, {Haider Tarish} and Muhsen, {Dhiaa Halboot} and Shahadi, {Haider Ismael} and Ong, {Hang See} and Wilfried Elmenreich",
year = "2019",
month = "1",
day = "1",
doi = "10.14311/AP.2019.59.0248",
language = "English",
volume = "59",
pages = "248--259",
journal = "Acta Polytechnica",
issn = "1210-2709",
publisher = "Czech Technical University, Publishing House",
number = "3",

}

Haider, HT, Muhsen, DH, Shahadi, HI, Ong, HS & Elmenreich, W 2019, 'Dynamic smart grid communication parameters based cognitive radio network', Acta Polytechnica, vol. 59, no. 3, pp. 248-259. https://doi.org/10.14311/AP.2019.59.0248

Dynamic smart grid communication parameters based cognitive radio network. / Haider, Haider Tarish; Muhsen, Dhiaa Halboot; Shahadi, Haider Ismael; Ong, Hang See; Elmenreich, Wilfried.

In: Acta Polytechnica, Vol. 59, No. 3, 01.01.2019, p. 248-259.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Dynamic smart grid communication parameters based cognitive radio network

AU - Haider, Haider Tarish

AU - Muhsen, Dhiaa Halboot

AU - Shahadi, Haider Ismael

AU - Ong, Hang See

AU - Elmenreich, Wilfried

PY - 2019/1/1

Y1 - 2019/1/1

N2 - The demand for more spectrums in a smart grid communication network is a significant challenge in originally scarce spectrum resources. Cognitive radio (CR) is a powerful technique for solving the spectrum scarcity problem by adapting the transmission parameters according to predefined objectives in an active wireless communication network. This paper presents a cognitive radio decision engine that dynamically selects optimal radio transmission parameters for wireless home area networks (HAN) of smart grid applications via the multi-objective differential evolution (MODE) optimization method. The proposed system helps to drive optimal communication parameters to realize power saving, maximum throughput and minimum bit error rate communication modes. A differential evolution algorithm is used to select the optimal transmission parameters for given communication modes based on a fitness function that combines multiple objectives based on appropriate weights. Simulation results highlight the superiority of the proposed system in terms of accuracy and convergence as compared with other evolution algorithms (genetic optimization, particle swarm optimization, and ant colony optimization) for different communication modes (power saving mode, high throughput mode, emergency communication mode, and balanced mode).

AB - The demand for more spectrums in a smart grid communication network is a significant challenge in originally scarce spectrum resources. Cognitive radio (CR) is a powerful technique for solving the spectrum scarcity problem by adapting the transmission parameters according to predefined objectives in an active wireless communication network. This paper presents a cognitive radio decision engine that dynamically selects optimal radio transmission parameters for wireless home area networks (HAN) of smart grid applications via the multi-objective differential evolution (MODE) optimization method. The proposed system helps to drive optimal communication parameters to realize power saving, maximum throughput and minimum bit error rate communication modes. A differential evolution algorithm is used to select the optimal transmission parameters for given communication modes based on a fitness function that combines multiple objectives based on appropriate weights. Simulation results highlight the superiority of the proposed system in terms of accuracy and convergence as compared with other evolution algorithms (genetic optimization, particle swarm optimization, and ant colony optimization) for different communication modes (power saving mode, high throughput mode, emergency communication mode, and balanced mode).

UR - http://www.scopus.com/inward/record.url?scp=85070763834&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85070763834&partnerID=8YFLogxK

U2 - 10.14311/AP.2019.59.0248

DO - 10.14311/AP.2019.59.0248

M3 - Article

VL - 59

SP - 248

EP - 259

JO - Acta Polytechnica

JF - Acta Polytechnica

SN - 1210-2709

IS - 3

ER -