Optimal Resource Allocation for Smart Grid Applications in High Traffic Wireless Networks

Robert Webster, Kumudu MUNASINGHE, Abbas Jamalipour

Research output: A Conference proceeding or a Chapter in BookConference contribution

4 Citations (Scopus)

Abstract

As the Smart Grid continues to develop and become a major part of each nation's most significant piece of infrastructure, the power grid, it will require a robust and efficient communications network. The data transmitted by the Smart Grid is vital to the security and reliability of the power grid and increases its efficiency and fault handling abilities. Also, Smart Grid data should be transmitted with highest priority to decrease latency and provide high accuracy. However, wireless communications networks are already burdened with high traffic from increasing mobile, tablet and fixed broadband services. Therefore the telecommunication resources must be efficiently allocated to ensure continuing high QoS for pre-existing users and also enable Smart Grid applications to operate within strict latency, accuracy, and reliability constraints. This research utilizes population theory Lotka-Volterra (LV) equations to optimally share telecommunications subcarriers between User Equipment (UE). The proposed algorithm incorporating LV equations easily adapts to the dynamics of a telecommunications environment and provides higher average throughput than the Proportional Rates Constraints algorithm and the Maximum Sum Rate algorithm. The LV algorithm was also able to pre-allocate subcarriers to Smart Grid UEs to ensure reduced transmission latency thereby ensuring the strict communications requirements of the Smart Grid are satisfied.
Original languageEnglish
Title of host publicationIEEE International Conference on Smart Grid Communications
EditorsTadeusz A Wysocki, Beata J Wysocki
Place of PublicationUSA
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages398-403
Number of pages6
ISBN (Print)9781479949342
DOIs
Publication statusPublished - 2015
Event2014 IEEE International Conference on Smart Grid Communications - Venice, Venice, Italy
Duration: 3 Nov 20146 Nov 2014

Publication series

Name2014 IEEE International Conference on Smart Grid Communications, SmartGridComm 2014

Conference

Conference2014 IEEE International Conference on Smart Grid Communications
CountryItaly
CityVenice
Period3/11/146/11/14

Fingerprint

Resource allocation
Wireless networks
Telecommunication
Telecommunication networks
Telecommunication traffic
Quality of service
Throughput
Communication

Cite this

Webster, R., MUNASINGHE, K., & Jamalipour, A. (2015). Optimal Resource Allocation for Smart Grid Applications in High Traffic Wireless Networks. In T. A. Wysocki, & B. J. Wysocki (Eds.), IEEE International Conference on Smart Grid Communications (pp. 398-403). [7007679] (2014 IEEE International Conference on Smart Grid Communications, SmartGridComm 2014). USA: IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/smartgridcomm.2014.7007679
Webster, Robert ; MUNASINGHE, Kumudu ; Jamalipour, Abbas. / Optimal Resource Allocation for Smart Grid Applications in High Traffic Wireless Networks. IEEE International Conference on Smart Grid Communications. editor / Tadeusz A Wysocki ; Beata J Wysocki. USA : IEEE, Institute of Electrical and Electronics Engineers, 2015. pp. 398-403 (2014 IEEE International Conference on Smart Grid Communications, SmartGridComm 2014).
@inproceedings{c42e749d726f4b439c4e65a9130edd6d,
title = "Optimal Resource Allocation for Smart Grid Applications in High Traffic Wireless Networks",
abstract = "As the Smart Grid continues to develop and become a major part of each nation's most significant piece of infrastructure, the power grid, it will require a robust and efficient communications network. The data transmitted by the Smart Grid is vital to the security and reliability of the power grid and increases its efficiency and fault handling abilities. Also, Smart Grid data should be transmitted with highest priority to decrease latency and provide high accuracy. However, wireless communications networks are already burdened with high traffic from increasing mobile, tablet and fixed broadband services. Therefore the telecommunication resources must be efficiently allocated to ensure continuing high QoS for pre-existing users and also enable Smart Grid applications to operate within strict latency, accuracy, and reliability constraints. This research utilizes population theory Lotka-Volterra (LV) equations to optimally share telecommunications subcarriers between User Equipment (UE). The proposed algorithm incorporating LV equations easily adapts to the dynamics of a telecommunications environment and provides higher average throughput than the Proportional Rates Constraints algorithm and the Maximum Sum Rate algorithm. The LV algorithm was also able to pre-allocate subcarriers to Smart Grid UEs to ensure reduced transmission latency thereby ensuring the strict communications requirements of the Smart Grid are satisfied.",
keywords = "Lotka-Volterra, MSR, Population Dynamics, PRC, Resource Allocation, Smart Grid, Wireless",
author = "Robert Webster and Kumudu MUNASINGHE and Abbas Jamalipour",
year = "2015",
doi = "10.1109/smartgridcomm.2014.7007679",
language = "English",
isbn = "9781479949342",
series = "2014 IEEE International Conference on Smart Grid Communications, SmartGridComm 2014",
publisher = "IEEE, Institute of Electrical and Electronics Engineers",
pages = "398--403",
editor = "Wysocki, {Tadeusz A} and Wysocki, {Beata J}",
booktitle = "IEEE International Conference on Smart Grid Communications",
address = "United States",

}

Webster, R, MUNASINGHE, K & Jamalipour, A 2015, Optimal Resource Allocation for Smart Grid Applications in High Traffic Wireless Networks. in TA Wysocki & BJ Wysocki (eds), IEEE International Conference on Smart Grid Communications., 7007679, 2014 IEEE International Conference on Smart Grid Communications, SmartGridComm 2014, IEEE, Institute of Electrical and Electronics Engineers, USA, pp. 398-403, 2014 IEEE International Conference on Smart Grid Communications, Venice, Italy, 3/11/14. https://doi.org/10.1109/smartgridcomm.2014.7007679

Optimal Resource Allocation for Smart Grid Applications in High Traffic Wireless Networks. / Webster, Robert; MUNASINGHE, Kumudu; Jamalipour, Abbas.

IEEE International Conference on Smart Grid Communications. ed. / Tadeusz A Wysocki; Beata J Wysocki. USA : IEEE, Institute of Electrical and Electronics Engineers, 2015. p. 398-403 7007679 (2014 IEEE International Conference on Smart Grid Communications, SmartGridComm 2014).

Research output: A Conference proceeding or a Chapter in BookConference contribution

TY - GEN

T1 - Optimal Resource Allocation for Smart Grid Applications in High Traffic Wireless Networks

AU - Webster, Robert

AU - MUNASINGHE, Kumudu

AU - Jamalipour, Abbas

PY - 2015

Y1 - 2015

N2 - As the Smart Grid continues to develop and become a major part of each nation's most significant piece of infrastructure, the power grid, it will require a robust and efficient communications network. The data transmitted by the Smart Grid is vital to the security and reliability of the power grid and increases its efficiency and fault handling abilities. Also, Smart Grid data should be transmitted with highest priority to decrease latency and provide high accuracy. However, wireless communications networks are already burdened with high traffic from increasing mobile, tablet and fixed broadband services. Therefore the telecommunication resources must be efficiently allocated to ensure continuing high QoS for pre-existing users and also enable Smart Grid applications to operate within strict latency, accuracy, and reliability constraints. This research utilizes population theory Lotka-Volterra (LV) equations to optimally share telecommunications subcarriers between User Equipment (UE). The proposed algorithm incorporating LV equations easily adapts to the dynamics of a telecommunications environment and provides higher average throughput than the Proportional Rates Constraints algorithm and the Maximum Sum Rate algorithm. The LV algorithm was also able to pre-allocate subcarriers to Smart Grid UEs to ensure reduced transmission latency thereby ensuring the strict communications requirements of the Smart Grid are satisfied.

AB - As the Smart Grid continues to develop and become a major part of each nation's most significant piece of infrastructure, the power grid, it will require a robust and efficient communications network. The data transmitted by the Smart Grid is vital to the security and reliability of the power grid and increases its efficiency and fault handling abilities. Also, Smart Grid data should be transmitted with highest priority to decrease latency and provide high accuracy. However, wireless communications networks are already burdened with high traffic from increasing mobile, tablet and fixed broadband services. Therefore the telecommunication resources must be efficiently allocated to ensure continuing high QoS for pre-existing users and also enable Smart Grid applications to operate within strict latency, accuracy, and reliability constraints. This research utilizes population theory Lotka-Volterra (LV) equations to optimally share telecommunications subcarriers between User Equipment (UE). The proposed algorithm incorporating LV equations easily adapts to the dynamics of a telecommunications environment and provides higher average throughput than the Proportional Rates Constraints algorithm and the Maximum Sum Rate algorithm. The LV algorithm was also able to pre-allocate subcarriers to Smart Grid UEs to ensure reduced transmission latency thereby ensuring the strict communications requirements of the Smart Grid are satisfied.

KW - Lotka-Volterra

KW - MSR

KW - Population Dynamics

KW - PRC

KW - Resource Allocation

KW - Smart Grid

KW - Wireless

UR - http://www.scopus.com/inward/record.url?scp=84922469744&partnerID=8YFLogxK

U2 - 10.1109/smartgridcomm.2014.7007679

DO - 10.1109/smartgridcomm.2014.7007679

M3 - Conference contribution

SN - 9781479949342

T3 - 2014 IEEE International Conference on Smart Grid Communications, SmartGridComm 2014

SP - 398

EP - 403

BT - IEEE International Conference on Smart Grid Communications

A2 - Wysocki, Tadeusz A

A2 - Wysocki, Beata J

PB - IEEE, Institute of Electrical and Electronics Engineers

CY - USA

ER -

Webster R, MUNASINGHE K, Jamalipour A. Optimal Resource Allocation for Smart Grid Applications in High Traffic Wireless Networks. In Wysocki TA, Wysocki BJ, editors, IEEE International Conference on Smart Grid Communications. USA: IEEE, Institute of Electrical and Electronics Engineers. 2015. p. 398-403. 7007679. (2014 IEEE International Conference on Smart Grid Communications, SmartGridComm 2014). https://doi.org/10.1109/smartgridcomm.2014.7007679