Traffic-aware adaptive network interface control for energy-efficiency in wireless data transmission

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School of Science | Master's thesis
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Date

2010

Department

Informaatio- ja luonnontieteiden tiedekunta

Major/Subject

Tietokoneverkot

Mcode

T-110

Degree programme

Language

en

Pages

[9] + 68

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Abstract

The Wireless Network Interface (WNI) are widely deployed on modern mobile devices, which makes it possible to access internet services such a audio and video streaming from mobile devices. Due to the intensive computation and network transmission caused by the internet services, power consumption has become big challenge to the mobile devices powered by batteries. The network transmission cost is mainly caused by the operations of the VNI, such as Receiving/transmitting data or staying in the idle mode. In this thesis we present an adaptive control algorithm of a wireless network interface (WNI) for energy efficiency. Our algorithm aims at controlling the operating modes of the WNI in such a way that the WNI can go to sleep mode instead of staying in idle mode when it is predicted to be no traffic for a certain period. The adaptation takes the overhead of the transition between IDLE and SLEEP modes into account, and the adaptation is combined with an ARIMA-based, prediction algorithm of the traffic patterns. We evaluate our algorithm with the power measurement from Nokia N810, and the experimental results show that our adaptation can save up to 20% energy than standard PSM during WLAN data transmission in streaming applications such as LiveTV and YouTube.

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Supervisor

Ylä-Jääski, Antti

Thesis advisor

Xiao, Yu

Keywords

wireless network interface, adaptive, traffic, energy efficient, prediction

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https://urn.fi/URN:NBN:fi:aalto-2020122357545

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[dipl] Perustieteiden korkeakoulu / SCI