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

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Smart Grid Inspired Future Technologies

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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Correspondence to Yanru Wang .

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© 2017 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Wang, Y., Liu, C., Chai, K.K., Chen, Y., Loo, J. (2017). Optimized Energy-Aware Window Control for IEEE 802.11ah Based Networks in Smart Grid Enabled Cities. In: Hu, J., Leung, V., Yang, K., Zhang, Y., Gao, J., Yang, S. (eds) Smart Grid Inspired Future Technologies. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 175. Springer, Cham. https://doi.org/10.1007/978-3-319-47729-9_17

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

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-47728-2

  • Online ISBN: 978-3-319-47729-9

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