Impact of Data Compression on Energy Consumption of Wireless-Networked Handheld Devices

  • Authors:
  • Rong Xu;Zhiyuan Li;Cheng Wang;Peifeng Ni

  • Affiliations:
  • -;-;-;-

  • Venue:
  • ICDCS '03 Proceedings of the 23rd International Conference on Distributed Computing Systems
  • Year:
  • 2003

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Abstract

We investigate the use of data compression to reduce thebattery consumed by handheld devices when downloadingdata from proxy servers over a wireless LAN. To make acareful trade-off between the communication energy and theoverhead to perform decompression, we experiment withthree universal lossless compression schemes, using a popularhandheld device in a wireless LAN environment and wefind interesting facts.The results show that, from the battery-saving perspective,the gzip compression software (based on LZ77) tobe far superior to bzip2 (based on BWT) and compress(based on LZW). We then present an energy model to estimatethe energy consumption for the compressed downloading.With this model, we further reduce the energy costof gzip by interleaving communication with computationand by using a block-by-block selective scheme based on thecompression factor of each block. We also use a thresholdfile size below which the file is not to be compressed beforetransferring.