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Article
A Novel LTE Scheduling Algorithm for Green Technology in Smart Grid
PLoS One (2015)
Abstract

Smart grid (SG) application is being used nowadays to meet the demand of increasing power consumption. SG application is considered as a perfect solution for combining renewable energy resources and electrical grid by means of creating a bidirectional communication channel between the two systems. In this paper, three SG applications applicable to renewable energy system, namely, distribution automation (DA), distributed energy system-storage (DER) and electrical vehicle (EV), are investigated in order to study their suitability in Long Term Evolution (LTE) network. To compensate the weakness in the existing scheduling algorithms, a novel bandwidth estimation and allocation technique and a new scheduling algorithm are proposed. The technique allocates available network resources based on application's priority, whereas the algorithm makes scheduling decision based on dynamic weighting factors of multi-criteria to satisfy the demands (delay, past average throughput and instantaneous transmission rate) of quality of service. Finally, the simulation results demonstrate that the proposed mechanism achieves higher throughput, lower delay and lower packet loss rate for DA and DER as well as provide a degree of service for EV. In terms of fairness, the proposed algorithm shows 3%, 7% and 9% better performance compared to exponential rule (EXP-Rule), modified-largest weighted delay first (M-LWDF) and exponential/PF (EXP/PF), respectively. Link to Full-Text Articles : http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4382332/

Keywords
  • SPATIAL PRISONERS-DILEMMA,
  • RESOURCE-ALLOCATION,
  • NETWORKS,
  • NEIGHBORHOOD,
  • IMPACT,
  • GAME
Publication Date
April 1, 2015
Publisher Statement
Hindia, Mohammad Nour Reza, Ahmed Wasif Noordin, Kamarul Ariffin Chayon, Muhammad Hasibur Rashid eng 2015/04/02 06:00 PLoS One. 2015 Apr 1;10(4):e0121901. doi: 10.1371/journal.pone.0121901. eCollection 2015.
Citation Information
"A Novel LTE Scheduling Algorithm for Green Technology in Smart Grid" PLoS One Vol. 10 Iss. 4 (2015)
Available at: http://works.bepress.com/facultyofengineering_universityofmalaya/11/