Impact of Data Compression on Energy Consumption of Wireless-Networked Handheld Devices
ICDCS '03 Proceedings of the 23rd International Conference on Distributed Computing Systems
Energy aware lossless data compression
Proceedings of the 1st international conference on Mobile systems, applications and services
Energy-aware lossless data compression
ACM Transactions on Computer Systems (TOCS)
Practical power modeling of data transmission over 802.11g for wireless applications
Proceedings of the 1st International Conference on Energy-Efficient Computing and Networking
Proxies for energy-efficient web access revisited
Proceedings of the 2nd International Conference on Energy-Efficient Computing and Networking
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Compression enables communicating information with a smaller amount of data and, in some cases, also saves energy in mobile environments. In order to achieve this we formalize conditions for energy efficient compression. In a basic compression case the condition is ec /(1-C) $\le$ Eb. It defines compression to be efficient, if the compression energy cost for the gained compression on the left hand side is lower than the communication energy efficiency on the right hand side. The compression method may be loss less or lossy, the same condition applies. In addition to basic compression, we introduce compression conditions for adding new data flows and for a partial compression scenario. In experiments using HTC Hero and Nokia N900 mobile devices, we verify the defined compression conditions.