DocumentCode :
2521198
Title :
Evaluation of data compression for energy-aware communication in mobile networks
Author :
Le Wang ; Manner, Jukka
Author_Institution :
Dept. of Commun. & Networking, Helsinki Univ. of Technol., Helsinki, Finland
fYear :
2009
fDate :
10-11 Oct. 2009
Firstpage :
69
Lastpage :
76
Abstract :
The development of ICT following Moore´s Law has resulted in a situation where mobile users are able to make use of a wealth of versatile services. Yet, battery and electronics technology has not followed this development as well, which has resulted in a situation where a mobile user´s battery can only enable a few hours of active use. Therefore, we need to focus increasingly on energy efficient wireless and mobile communication to reduce energy consumption, but also to cut down greenhouse emissions and improve business competitiveness. Due to significant energy consumption of transmitting data over wireless networks, data compression techniques are one simple way to trade the overhead of compression for less communication energy. This paper investigates the usages of data compression to reduce the energy consumption in a modern hand-held device. By conducting various experiments, we analyze content-aware compression schemes that can reduce energy consumption significantly. Yet, blind or careless use of compression results in a huge energy loss. We also discuss the deployment issues of data compression.
Keywords :
Internet; data compression; energy consumption; mobile computing; mobile radio; power aware computing; ICT; content-aware compression schemes; data compression; energy consumption; energy efficient communication; energy-aware communication; greenhouse emissions; mobile networks; modern hand-held device; Batteries; Business communication; Data compression; Energy consumption; Energy efficiency; Energy loss; Mobile communication; Moore´s Law; Wireless communication; Wireless networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cyber-Enabled Distributed Computing and Knowledge Discovery, 2009. CyberC '09. International Conference on
Conference_Location :
Zhangijajie
Print_ISBN :
978-1-4244-5218-7
Electronic_ISBN :
978-1-4244-5219-4
Type :
conf
DOI :
10.1109/CYBERC.2009.5342172
Filename :
5342172
Link To Document :
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