Title :
RSSI-Aware Energy Saving For Large File Downloading on Smartphones
Author :
Huan Li ; Lunde Chen
Author_Institution :
State Key Lab. of Software Dev. Environ., Beihang Univ., Beijing, China
Abstract :
Smartphones are emerging as a particularly appealing platform for network applications, especially through the WiFi interface. However, WiFi entails considerable energy consumption and smartphones are bottlenecked by their battery capacity. Finding ways to reduce energy consumption of WiFi is more than critical. In this letter, we address the problem of WiFi energy management with the awareness of RSSI properties. Through experiments, we first investigate how the RSSI influences energy consumption. Based on the experimental findings, we propose a simple but effective approach for managing large file downloading in a WiFi environment for smartphones. Simulations show that the proposed method can achieve significant energy savings.
Keywords :
RSSI; energy conservation; energy consumption; power aware computing; smart phones; telecommunication power management; wireless LAN; RSSI properties; RSSI-aware energy saving; WiFi energy management; WiFi environment; WiFi interface; battery capacity; energy consumption; large file downloading management; network applications; smartphones; Energy consumption; Energy measurement; IEEE 802.11 Standards; Power measurement; Smart phones; Throughput; Time measurement; Online algorithm; RSSI variance; WiFi;
Journal_Title :
Embedded Systems Letters, IEEE
DOI :
10.1109/LES.2015.2426195