Abstract

This research analyzed the impact of Wi-Fi received signal strength indication (RSSI) on power consumption of smart phones under different network environments. It was found that bad signal may lead to decrease in network link speed but increase in power consumption; whereas good signal contribute

Highlights

  • Smartphones have experienced tremendous and continuous growth in recent years, accelerating the development both in software and hardware

  • As an example, when opening the browser on a high-speed rail, or sending a message at a place far away from Access Point (AP), we often feel the phone gradually gets hotter. This can be explained by the bad signal resulting in slow link speed

  • To reduce the power consumption of smartphones in different network environments, by combining the original IEEE 802.11 Power Save (PS) mechanism, we proposed the optimization method that could recognize the dynamic network environment and dynamically adjust the Wi-Fi transmission method based on the decision tree

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Summary

Introduction

Smartphones have experienced tremendous and continuous growth in recent years, accelerating the development both in software and hardware. As an example, when opening the browser on a high-speed rail, or sending a message at a place far away from Access Point (AP), we often feel the phone gradually gets hotter This can be explained by the bad signal resulting in slow link speed. To reduce the power consumption of smartphones in different network environments, by combining the original IEEE 802.11 PS mechanism, we proposed the optimization method that could recognize the dynamic network environment and dynamically adjust the Wi-Fi transmission method based on the decision tree. The experimental data showed that the optimization mechanism could prolong the battery life for common application under different network environments, and improve the user experience to some extent

Background and related work
Dynamic Power Save mode and Static Power Save mode
Related Works
Architecture Design
Decision Tree building

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