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Mobility Incorporated Vehicle-to-Grid (V2G) Optimization for Uniform Utilization in Smart Grid Based Power Distribution Network Read chapter Read first chapter

2017 | OriginalPaper | Chapter

Optimized Energy-Aware Window Control for IEEE 802.11ah Based Networks in Smart Grid Enabled Cities

Authors : Yanru Wang, Chao Liu, Kok Keong Chai, Yue Chen, Jonathan Loo

Published in: Smart Grid Inspired Future Technologies

Publisher: Springer International Publishing

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Abstract

IEEE 802.11ah brings Restricted Access Window (RAW) to decrease collision probability for smart grid applications. The RAW size affects transmission energy consumption and data rate for the different number of devices per group. In this paper, we investigate an energy efficient RAW optimization problem for IEEE 802.11ah based uplink communications. We formulate the problem based on overall energy consumption and the data rate of each RAW by applying probability theory. Then, we derive the energy efficiency of the uplink transmission. Last but not the least, a dynamic energy-aware window algorithm to adapt the RAW size is proposed to optimize the energy efficiency by identifying the number of slots in each RAW for different group scales. Simulation results show that our proposed algorithm outperforms existing RAW on uplink energy efficiency and delivery ratio.

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Metadata
Title
Optimized Energy-Aware Window Control for IEEE 802.11ah Based Networks in Smart Grid Enabled Cities
Authors
Yanru Wang
Chao Liu
Kok Keong Chai
Yue Chen
Jonathan Loo
Copyright Year
2017
Book
Smart Grid Inspired Future Technologies

Print ISBN: 978-3-319-47728-2

Electronic ISBN: 978-3-319-47729-9

Copyright Year: 2017

DOI
https://doi.org/10.1007/978-3-319-47729-9_17

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