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Wake-on-a-Schedule: Energy-aware Communication in Wi-Fi NetworksPERKOVIC, T. , STANCIC, I. , GARMA, T.
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energy consumption, energy efficiency, energy measurement, optimization, wireless networks
mobile(6), systems(5), energy(5), communications(5), applications(4)
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About this article
Date of Publication: 2014-02-28
Volume 14, Issue 1, Year 2014, On page(s): 77 - 80
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2014.01012
Web of Science Accession Number: 000332062300012
SCOPUS ID: 84894608185
Excessive energy consumption of mobile device Wi-Fi (IEEE 802.11x) interface is limiting its operational time on batteries, and impacts total energy consumption of electronic devices. In recent years research community has invested great effort in better efficiency of energy consumption. However, there is still a space for improvement. Wi-Fi devices connected to the single AP (Access Point) compete for the medium during data exchange. However, due to the performance anomaly in 802.11 networks, a low data rate device will force all other devices connected to the AP to communicate at low rate, which will increase the total energy consumption of these devices. Wake-on-a-Schedule algorithm is proposed reducing the energy consumption of devices placed in the area with the weaker signal by scheduling the data packets for each client on the server side which will not allow clients to compete for the Wi-Fi medium. Through extensive measurements we show that our algorithm can save up to 60% of energy consumption on the client side.
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 Ubiquity of Wi-Fi: Crowdsensing Properties for Urban Fingerprint Positioning, LECA, C. L., Advances in Electrical and Computer Engineering, ISSN 1582-7445, Issue 4, Volume 17, 2017.
Digital Object Identifier: 10.4316/AECE.2017.04016 [CrossRef] [Full text]
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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
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