A novel cooperative image transmission scheme in wireless sensor networks

Tao Ma, Michael Hempel, Kun Hua, Dongming Peng, Hamid Sharif

Research output: Chapter in Book/Report/Conference proceedingConference contribution

9 Scopus citations

Abstract

Reducing transmission energy consumption is one of the most critical research issues in the area of Wireless Sensor Networks (WSNs). In this paper, we present our scheme for employing collaborative signal enhancement to achieve energy efficient image transmissions in WSNs. A collaborative signal enhancement approach is compelling due to its capability of saving individual energy consumption by spreading total transmission consumption over multiple sensors. Individual packets describing an embedded wavelet-encoded image exhibit a significantly unequal contribution towards image quality. By leveraging this fact we develop a strategy of appropriately selecting the number of collaborative sensors for each packet transmission in order to achieve the highest possible image quality given a restricted transmission energy consumption budget. Experimental results show that our proposed approach can provide about 2dB higher image quality under the same energy budget compared with the state-of-the-art collaborative transmission scheme in WSN literature.

Original languageEnglish (US)
Title of host publication2010 IEEE 35th Conference on Local Computer Networks, LCN 2010
Pages240-243
Number of pages4
DOIs
StatePublished - 2010
Event35th Annual IEEE Conference on Local Computer Networks, LCN 2010 - Denver, CO, United States
Duration: Oct 10 2010Oct 14 2010

Publication series

NameProceedings - Conference on Local Computer Networks, LCN

Other

Other35th Annual IEEE Conference on Local Computer Networks, LCN 2010
Country/TerritoryUnited States
CityDenver, CO
Period10/10/1010/14/10

Keywords

  • collaborative transmission
  • energy efficiency
  • image transmission
  • multimedia
  • wireless sensor networks

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Hardware and Architecture

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