Wake-on-a-Schedule: Energy-aware Communication in Wi-Fi Networks
Jan 1, 2014·
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Toni Perković
Ivo Stančić
Tonko Garma

Abstract
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.
Type
Publication
Advances in Electrical and Computer Engineering, 14(1), 77–80
Status
Peer-reviewed
Open access

Authors
Full Professor
I am a Full Professor in the
Department of Electronics and Computing
at the Faculty of Electrical Engineering, Mechanical Engineering and Naval
Architecture (FESB), University of Split,
Croatia, where I teach
wireless network security, wireless communication networks, data science and
reinforcement learning.
My research spans information security, applied cryptography and the Internet of
Things. Before returning to FESB in 2020, I was an assistant and then associate
professor at the University Department of Forensic Sciences
in Split. I co-founded the SpliTech international
conference and serve on the editorial board of the
Journal of Communications Software and Systems.