A Population Theory Inspired Solution to the Optimal Bandwidth Allocation for Smart Grid Applications

Robert Webster, Kumudu MUNASINGHE, Abbas Jamalipour

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

2 Citations (Scopus)
3 Downloads (Pure)

Abstract

The establishment of a previously non-existent data class known as the Smart Grid will pose many difficulties on current and future communication infrastructure. It is imperative that the Smart Grid, as the reactionary and monitory arm of the Power Grid, be able to communicate effectively between grid controllers and individual UEs. Like most wireless sensor networks (WSN), the data sent by individual UEs has limited usefulness and precision. Collection of a large amount of data produces information that is useful to the system and which can be acted upon. However, this increases the communication traffic in an environment where communication traffic from other mobile users is already high. By ensuring effective communications between Distributed Generators and the Smart Grid, renewable resources that are subject to large fluctuations can be utilized more effectively and efficiently. This research proposes that a Proportional Fairness Algorithm, when combined with Lotka-Volterra Population Theory, will ensure fair bandwidth allocation for all User Equipment, whilst guaranteeing Smart Grid operating constraints such as minimal latency. Furthermore, the optimization of the bandwidth allocation maximizes Smart Grid Quality of Service, while also minimizing the decrease in Non-Smart Grid UE Quality of Experience
Original languageEnglish
Title of host publicationIEEE Wireless Communications and Networking Conference
EditorsMutlu Koca
Place of PublicationUSA
PublisherIEEE
Pages2958-2963
Number of pages6
ISBN (Print)9781479930838
DOIs
Publication statusPublished - 2014
Event2014 IEEE Wireless Communications and Networking Conference - Istanbul, Istanbul, Turkey
Duration: 6 Apr 20149 Apr 2014

Publication series

NameIEEE Wireless Communications and Networking Conference, WCNC
ISSN (Print)1525-3511

Conference

Conference2014 IEEE Wireless Communications and Networking Conference
CountryTurkey
CityIstanbul
Period6/04/149/04/14

Fingerprint

Frequency allocation
Telecommunication traffic
Communication
Wireless sensor networks
Quality of service
Controllers

Cite this

Webster, R., MUNASINGHE, K., & Jamalipour, A. (2014). A Population Theory Inspired Solution to the Optimal Bandwidth Allocation for Smart Grid Applications. In M. Koca (Ed.), IEEE Wireless Communications and Networking Conference (pp. 2958-2963). [6952927] (IEEE Wireless Communications and Networking Conference, WCNC). USA: IEEE. https://doi.org/10.1109/WCNC.2014.6952927
Webster, Robert ; MUNASINGHE, Kumudu ; Jamalipour, Abbas. / A Population Theory Inspired Solution to the Optimal Bandwidth Allocation for Smart Grid Applications. IEEE Wireless Communications and Networking Conference. editor / Mutlu Koca. USA : IEEE, 2014. pp. 2958-2963 (IEEE Wireless Communications and Networking Conference, WCNC).
@inproceedings{f1de38e9fd8b45c1bb40f14f9e07ea4d,
title = "A Population Theory Inspired Solution to the Optimal Bandwidth Allocation for Smart Grid Applications",
abstract = "The establishment of a previously non-existent data class known as the Smart Grid will pose many difficulties on current and future communication infrastructure. It is imperative that the Smart Grid, as the reactionary and monitory arm of the Power Grid, be able to communicate effectively between grid controllers and individual UEs. Like most wireless sensor networks (WSN), the data sent by individual UEs has limited usefulness and precision. Collection of a large amount of data produces information that is useful to the system and which can be acted upon. However, this increases the communication traffic in an environment where communication traffic from other mobile users is already high. By ensuring effective communications between Distributed Generators and the Smart Grid, renewable resources that are subject to large fluctuations can be utilized more effectively and efficiently. This research proposes that a Proportional Fairness Algorithm, when combined with Lotka-Volterra Population Theory, will ensure fair bandwidth allocation for all User Equipment, whilst guaranteeing Smart Grid operating constraints such as minimal latency. Furthermore, the optimization of the bandwidth allocation maximizes Smart Grid Quality of Service, while also minimizing the decrease in Non-Smart Grid UE Quality of Experience",
keywords = "body-area-networks, communications, Resource Allocation, Lotka-Volterra, Population Dynamics, Smart Grid",
author = "Robert Webster and Kumudu MUNASINGHE and Abbas Jamalipour",
year = "2014",
doi = "10.1109/WCNC.2014.6952927",
language = "English",
isbn = "9781479930838",
series = "IEEE Wireless Communications and Networking Conference, WCNC",
publisher = "IEEE",
pages = "2958--2963",
editor = "Mutlu Koca",
booktitle = "IEEE Wireless Communications and Networking Conference",

}

Webster, R, MUNASINGHE, K & Jamalipour, A 2014, A Population Theory Inspired Solution to the Optimal Bandwidth Allocation for Smart Grid Applications. in M Koca (ed.), IEEE Wireless Communications and Networking Conference., 6952927, IEEE Wireless Communications and Networking Conference, WCNC, IEEE, USA, pp. 2958-2963, 2014 IEEE Wireless Communications and Networking Conference, Istanbul, Turkey, 6/04/14. https://doi.org/10.1109/WCNC.2014.6952927

A Population Theory Inspired Solution to the Optimal Bandwidth Allocation for Smart Grid Applications. / Webster, Robert; MUNASINGHE, Kumudu; Jamalipour, Abbas.

IEEE Wireless Communications and Networking Conference. ed. / Mutlu Koca. USA : IEEE, 2014. p. 2958-2963 6952927 (IEEE Wireless Communications and Networking Conference, WCNC).

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

TY - GEN

T1 - A Population Theory Inspired Solution to the Optimal Bandwidth Allocation for Smart Grid Applications

AU - Webster, Robert

AU - MUNASINGHE, Kumudu

AU - Jamalipour, Abbas

PY - 2014

Y1 - 2014

N2 - The establishment of a previously non-existent data class known as the Smart Grid will pose many difficulties on current and future communication infrastructure. It is imperative that the Smart Grid, as the reactionary and monitory arm of the Power Grid, be able to communicate effectively between grid controllers and individual UEs. Like most wireless sensor networks (WSN), the data sent by individual UEs has limited usefulness and precision. Collection of a large amount of data produces information that is useful to the system and which can be acted upon. However, this increases the communication traffic in an environment where communication traffic from other mobile users is already high. By ensuring effective communications between Distributed Generators and the Smart Grid, renewable resources that are subject to large fluctuations can be utilized more effectively and efficiently. This research proposes that a Proportional Fairness Algorithm, when combined with Lotka-Volterra Population Theory, will ensure fair bandwidth allocation for all User Equipment, whilst guaranteeing Smart Grid operating constraints such as minimal latency. Furthermore, the optimization of the bandwidth allocation maximizes Smart Grid Quality of Service, while also minimizing the decrease in Non-Smart Grid UE Quality of Experience

AB - The establishment of a previously non-existent data class known as the Smart Grid will pose many difficulties on current and future communication infrastructure. It is imperative that the Smart Grid, as the reactionary and monitory arm of the Power Grid, be able to communicate effectively between grid controllers and individual UEs. Like most wireless sensor networks (WSN), the data sent by individual UEs has limited usefulness and precision. Collection of a large amount of data produces information that is useful to the system and which can be acted upon. However, this increases the communication traffic in an environment where communication traffic from other mobile users is already high. By ensuring effective communications between Distributed Generators and the Smart Grid, renewable resources that are subject to large fluctuations can be utilized more effectively and efficiently. This research proposes that a Proportional Fairness Algorithm, when combined with Lotka-Volterra Population Theory, will ensure fair bandwidth allocation for all User Equipment, whilst guaranteeing Smart Grid operating constraints such as minimal latency. Furthermore, the optimization of the bandwidth allocation maximizes Smart Grid Quality of Service, while also minimizing the decrease in Non-Smart Grid UE Quality of Experience

KW - body-area-networks

KW - communications

KW - Resource Allocation

KW - Lotka-Volterra

KW - Population Dynamics

KW - Smart Grid

UR - http://www.scopus.com/inward/record.url?scp=84912059109&partnerID=8YFLogxK

U2 - 10.1109/WCNC.2014.6952927

DO - 10.1109/WCNC.2014.6952927

M3 - Conference contribution

SN - 9781479930838

T3 - IEEE Wireless Communications and Networking Conference, WCNC

SP - 2958

EP - 2963

BT - IEEE Wireless Communications and Networking Conference

A2 - Koca, Mutlu

PB - IEEE

CY - USA

ER -

Webster R, MUNASINGHE K, Jamalipour A. A Population Theory Inspired Solution to the Optimal Bandwidth Allocation for Smart Grid Applications. In Koca M, editor, IEEE Wireless Communications and Networking Conference. USA: IEEE. 2014. p. 2958-2963. 6952927. (IEEE Wireless Communications and Networking Conference, WCNC). https://doi.org/10.1109/WCNC.2014.6952927