Greening vehicular networks with standalone wind powered RSUs: a performance case study

Muhtar, A, Qazi, BR, Bhattacharya, S et al. (1 more author) (2013) Greening vehicular networks with standalone wind powered RSUs: a performance case study. In: IEEE International Conference on Communications (ICC 2013). 2013 IEEE International Conference on Communications (ICC), 09-13 Jun 2013, Budapest. IEEE , 4437 - 4442.

Abstract

Metadata

Item Type: Proceedings Paper
Authors/Creators:
  • Muhtar, A
  • Qazi, BR
  • Bhattacharya, S
  • Elmirghani, JMH
Copyright, Publisher and Additional Information:

(c) 2013 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.

Keywords: energy conservation; environmental factors; quality of service; radio networks; road traffic; road vehicles; telecommunication traffic; wind power; Analytical models; Batteries; Delays; Quality of service; Vehicles; Wind energy; Wind power generation; OPEX reduction; QoS; carbon footprint reduction; communication networks; data traffic measurements; energy efficiency; energy efficient networks; greening vehicular networks; motorway vehicular environment; operation expenditure reduction; performance case study; quality of service; roadside units; sleep cycles; standalone wind powered RSUs; vehicular motorway network; vehicular traffic profiles; video-related applications; wind measurements
Dates:
  • Published: June 2013
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Electronic & Electrical Engineering (Leeds) > Institute of Communication & Power Networks (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 09 Feb 2015 16:45
Last Modified: 19 Dec 2022 13:30
Published Version: http://dx.doi.org/10.1109/ICC.2013.6655265
Status: Published
Publisher: IEEE
Identification Number: 10.1109/ICC.2013.6655265
Open Archives Initiative ID (OAI ID):

Export

Statistics