Performance evaluation of electric vehicle ad-hoc network technologies for charging management

Paul Nsonga; S. M.Suhail Hussain; Aminata Garba; Taha Selim Ustun; Ikbal Ali

doi:10.1109/APPEEC.2017.8308933

Performance evaluation of electric vehicle ad-hoc network technologies for charging management

Paul Nsonga
, S. M.Suhail Hussain
, Aminata Garba
, Taha Selim Ustun
, Ikbal Ali

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

8 Scopus citations

Abstract

Advancements in the development and implementation of wireless sensor networks are the main motivation for the development of future infrastructure for the Internet of Things (IoT). When fitted with wireless sensors and communication devices, e.g. On-Board Units (OBUs), Electric Vehicles (EVs) can establish links with their surroundings, further expanding connectivity among different objects within the same location. In this regard, EVs could communicate with Roadside Units (RSUs) in Intelligent Transport Systems (ITSs) and Smartgrid. Some of the challenges that limit the extension of Vehicle-to-Infrastructure (V2I) are the End-to-End (ETE) communication delay, the doppler effect and the interference. This paper simulates and compares selected performance of the communications between the EVs and the RSUs for several wireless communication systems such as ZigBee, Worldwide Interoperability for Microwave Access (WiMAX) and Wi-Fi. Using the Riverbed Modeler, simulations are performed and the results of the performance of the different wireless communication technologies in terms of ETE delay and the doppler effect on the technologies are discussed.

Original language	English
Title of host publication	2017 IEEE PES Asia-Pacific Power and Energy Engineering Conference, APPEEC 2017
Publisher	IEEE Computer Society
Pages	1-5
Number of pages	5
ISBN (Electronic)	9781538613795
DOIs	https://doi.org/10.1109/APPEEC.2017.8308933
State	Published - 2 Jul 2017
Externally published	Yes
Event	2017 IEEE PES Asia-Pacific Power and Energy Engineering Conference, APPEEC 2017 - Bangalore, India Duration: 8 Nov 2017 → 10 Nov 2017

Publication series

Name	Asia-Pacific Power and Energy Engineering Conference, APPEEC
Volume	2017-November
ISSN (Print)	2157-4839
ISSN (Electronic)	2157-4847

Conference

Conference	2017 IEEE PES Asia-Pacific Power and Energy Engineering Conference, APPEEC 2017
Country/Territory	India
City	Bangalore
Period	8/11/17 → 10/11/17

Bibliographical note

Publisher Copyright:
© 2017 IEEE.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 11 Sustainable Cities and Communities

Keywords

Ad-hoc networks
EV
IEC 61850
IEEE WAVE
Scheduling Algorithm
Wi-Fi
WiMAX
ZigBee

ASJC Scopus subject areas

Energy Engineering and Power Technology

Access to Document

10.1109/APPEEC.2017.8308933

Cite this

Nsonga, P., Hussain, S. M. S., Garba, A., Ustun, T. S., & Ali, I. (2017). Performance evaluation of electric vehicle ad-hoc network technologies for charging management. In 2017 IEEE PES Asia-Pacific Power and Energy Engineering Conference, APPEEC 2017 (pp. 1-5). (Asia-Pacific Power and Energy Engineering Conference, APPEEC; Vol. 2017-November). IEEE Computer Society. https://doi.org/10.1109/APPEEC.2017.8308933

@inproceedings{9d7811eb963c47ae8acac8adc8c32e12,

title = "Performance evaluation of electric vehicle ad-hoc network technologies for charging management",

abstract = "Advancements in the development and implementation of wireless sensor networks are the main motivation for the development of future infrastructure for the Internet of Things (IoT). When fitted with wireless sensors and communication devices, e.g. On-Board Units (OBUs), Electric Vehicles (EVs) can establish links with their surroundings, further expanding connectivity among different objects within the same location. In this regard, EVs could communicate with Roadside Units (RSUs) in Intelligent Transport Systems (ITSs) and Smartgrid. Some of the challenges that limit the extension of Vehicle-to-Infrastructure (V2I) are the End-to-End (ETE) communication delay, the doppler effect and the interference. This paper simulates and compares selected performance of the communications between the EVs and the RSUs for several wireless communication systems such as ZigBee, Worldwide Interoperability for Microwave Access (WiMAX) and Wi-Fi. Using the Riverbed Modeler, simulations are performed and the results of the performance of the different wireless communication technologies in terms of ETE delay and the doppler effect on the technologies are discussed.",

keywords = "Ad-hoc networks, EV, IEC 61850, IEEE WAVE, Scheduling Algorithm, Wi-Fi, WiMAX, ZigBee",

author = "Paul Nsonga and Hussain, \{S. M.Suhail\} and Aminata Garba and Ustun, \{Taha Selim\} and Ikbal Ali",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 2017 IEEE PES Asia-Pacific Power and Energy Engineering Conference, APPEEC 2017 ; Conference date: 08-11-2017 Through 10-11-2017",

year = "2017",

month = jul,

day = "2",

doi = "10.1109/APPEEC.2017.8308933",

language = "English",

series = "Asia-Pacific Power and Energy Engineering Conference, APPEEC",

publisher = "IEEE Computer Society",

pages = "1--5",

booktitle = "2017 IEEE PES Asia-Pacific Power and Energy Engineering Conference, APPEEC 2017",

address = "United States",

}

Nsonga, P, Hussain, SMS, Garba, A, Ustun, TS & Ali, I 2017, Performance evaluation of electric vehicle ad-hoc network technologies for charging management. in 2017 IEEE PES Asia-Pacific Power and Energy Engineering Conference, APPEEC 2017. Asia-Pacific Power and Energy Engineering Conference, APPEEC, vol. 2017-November, IEEE Computer Society, pp. 1-5, 2017 IEEE PES Asia-Pacific Power and Energy Engineering Conference, APPEEC 2017, Bangalore, India, 8/11/17. https://doi.org/10.1109/APPEEC.2017.8308933

Performance evaluation of electric vehicle ad-hoc network technologies for charging management. / Nsonga, Paul; Hussain, S. M.Suhail; Garba, Aminata et al.
2017 IEEE PES Asia-Pacific Power and Energy Engineering Conference, APPEEC 2017. IEEE Computer Society, 2017. p. 1-5 (Asia-Pacific Power and Energy Engineering Conference, APPEEC; Vol. 2017-November).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Performance evaluation of electric vehicle ad-hoc network technologies for charging management

AU - Nsonga, Paul

AU - Hussain, S. M.Suhail

AU - Garba, Aminata

AU - Ustun, Taha Selim

AU - Ali, Ikbal

PY - 2017/7/2

Y1 - 2017/7/2

N2 - Advancements in the development and implementation of wireless sensor networks are the main motivation for the development of future infrastructure for the Internet of Things (IoT). When fitted with wireless sensors and communication devices, e.g. On-Board Units (OBUs), Electric Vehicles (EVs) can establish links with their surroundings, further expanding connectivity among different objects within the same location. In this regard, EVs could communicate with Roadside Units (RSUs) in Intelligent Transport Systems (ITSs) and Smartgrid. Some of the challenges that limit the extension of Vehicle-to-Infrastructure (V2I) are the End-to-End (ETE) communication delay, the doppler effect and the interference. This paper simulates and compares selected performance of the communications between the EVs and the RSUs for several wireless communication systems such as ZigBee, Worldwide Interoperability for Microwave Access (WiMAX) and Wi-Fi. Using the Riverbed Modeler, simulations are performed and the results of the performance of the different wireless communication technologies in terms of ETE delay and the doppler effect on the technologies are discussed.

AB - Advancements in the development and implementation of wireless sensor networks are the main motivation for the development of future infrastructure for the Internet of Things (IoT). When fitted with wireless sensors and communication devices, e.g. On-Board Units (OBUs), Electric Vehicles (EVs) can establish links with their surroundings, further expanding connectivity among different objects within the same location. In this regard, EVs could communicate with Roadside Units (RSUs) in Intelligent Transport Systems (ITSs) and Smartgrid. Some of the challenges that limit the extension of Vehicle-to-Infrastructure (V2I) are the End-to-End (ETE) communication delay, the doppler effect and the interference. This paper simulates and compares selected performance of the communications between the EVs and the RSUs for several wireless communication systems such as ZigBee, Worldwide Interoperability for Microwave Access (WiMAX) and Wi-Fi. Using the Riverbed Modeler, simulations are performed and the results of the performance of the different wireless communication technologies in terms of ETE delay and the doppler effect on the technologies are discussed.

KW - Ad-hoc networks

KW - EV

KW - IEC 61850

KW - IEEE WAVE

KW - Scheduling Algorithm

KW - Wi-Fi

KW - WiMAX

KW - ZigBee

UR - https://www.scopus.com/pages/publications/85045947900

U2 - 10.1109/APPEEC.2017.8308933

DO - 10.1109/APPEEC.2017.8308933

M3 - Conference contribution

AN - SCOPUS:85045947900

T3 - Asia-Pacific Power and Energy Engineering Conference, APPEEC

SP - 1

EP - 5

BT - 2017 IEEE PES Asia-Pacific Power and Energy Engineering Conference, APPEEC 2017

PB - IEEE Computer Society

T2 - 2017 IEEE PES Asia-Pacific Power and Energy Engineering Conference, APPEEC 2017

Y2 - 8 November 2017 through 10 November 2017

ER -

Performance evaluation of electric vehicle ad-hoc network technologies for charging management

Abstract

Publication series

Conference

Bibliographical note

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

Fingerprint

Cite this