Title :
Research on Low Energy Consumption of Mass Data Download in Smartphone
Author :
Jie Ren ; Hai Wang ; Ling Gao
Author_Institution :
Dept. of Comput. Sci. & Technol., Northwest Univ., Xi´an, China
Abstract :
It will consume lots of energy when the apps download mass data in the smartphone. Furthermore, the apps will increase the burden of the battery if they download big data with slow network. The paper proposes a smartphone download strategy that downloads mass data with appropriate delay to achieve low energy consumption. The strategy, called CLSA, selects the best download model that based on the current network situation, the length of download requests´ queue and the local information of smartphone. We evaluate the CLSA using a music player implementation on a modern smartphone and compare it with the other two download strategies, Minimum Delay and WiFi Only. The result shows that the CLSA can achieve the optimal energy-delay trade off performance than the other two.
Keywords :
energy consumption; mobile computing; power aware computing; smart phones; CLSA; WiFi only; concentrate download and low-power and stable link selection algorithm; download model; download requests queue length; mass data download; minimum delay; music player implementation; network situation; optimal energy-delay trade off performance; smartphone download strategy; smartphone energy consumption; smartphone local information; Delays; Energy consumption; IEEE 802.11 Standards; Instruction sets; Optimization; Power demand; Queueing analysis; CLSA; energy-delay trade off; smartphone download strategy;
Conference_Titel :
Advanced Cloud and Big Data (CBD), 2013 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4799-3260-3
DOI :
10.1109/CBD.2013.30