Introduction to Probability and Statistics: Principles and Applications for Engineering and the Computing Sciences
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IEEE Transactions on Mobile Computing
MiSer: an optimal low-energy transmission strategy for IEEE 802.11a/h
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Saving energy during channel contention in 802.11 WLANs
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IEEE/ACM Transactions on Networking (TON)
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Green WLANs: On-Demand WLAN Infrastructures
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NAPman: network-assisted power management for wifi devices
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An analysis of power consumption in a smartphone
USENIXATC'10 Proceedings of the 2010 USENIX conference on USENIX annual technical conference
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Pervasive and Mobile Computing
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Improving energy efficiency for mobile platforms by exploiting low-power sleep states
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IEEE Transactions on Wireless Communications
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Proceedings of the fourth international conference on Future energy systems
Proceedings of the 8th ACM international workshop on Wireless network testbeds, experimental evaluation & characterization
Proceedings of the 8th ACM international workshop on Wireless network testbeds, experimental evaluation & characterization
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Proceedings of the 8th ACM international workshop on Wireless network testbeds, experimental evaluation & characterization
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ACM SIGMOBILE Mobile Computing and Communications Review
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A thorough understanding of the power consumption behavior of real world wireless devices is of paramount importance to ground energy-efficient protocols and optimizations on realistic and accurate energy models. This paper provides an in-depth experimental investigation of the per-frame energy consumption components in 802.11 Wireless LAN devices. To the best of our knowledge, our measurements are the first to unveil that a substantial fraction of energy consumption, hereafter descriptively named cross-factor, may be ascribed to each individual frame while it crosses the protocol/implementation stack (OS, driver, NIC). Our findings, summarized in a convenient new energy consumption model, contrast traditional models which either neglect or amortize such energy cost component in a fixed baseline cost, and raise the alert that, in some cases, conclusions drawn using traditional energy models may be fallacious.