Optimal image component transmissions in multirate wireless sensor networks

Wei Wang, Dongming Peng, Honggang Wang, Hamid Sharif, Hsiao Hwa Chen

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

11 Scopus citations

Abstract

In image transmission applications over Wireless Sensor Networks (WSN), energy efficiency and image quality are both important factors for joint optimization. In this paper, we propose a new position-value (P-V) oriented cross layer optimization approach to minimize energy consumption with distortion bounds for image transmission applications in WSN, by exploring importance level diversity for position-magnitude information. To put more effort on transmitting important position information and relatively less effort on unimportant magnitude information, desirable BER, ARQ retry limit, transmission rate and distortion reduction of image are jointly optimized cross PHY, MAC and APP layers, and image quality is assured while energy consumption is minimized. Simulation results demonstrate the effectiveness of the proposed approach in achieving energy efficiency while maintaining image quality.

Original languageEnglish (US)
Title of host publicationIEEE GLOBECOM 2007 - 2007 IEEE Global Telecommunications Conference, Proceedings
Pages976-980
Number of pages5
DOIs
StatePublished - Dec 1 2007
Event50th Annual IEEE Global Telecommunications Conference, GLOBECOM 2007 - Washington, DC, United States
Duration: Nov 26 2007Nov 30 2007

Publication series

NameGLOBECOM - IEEE Global Telecommunications Conference

Other

Other50th Annual IEEE Global Telecommunications Conference, GLOBECOM 2007
CountryUnited States
CityWashington, DC
Period11/26/0711/30/07

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ASJC Scopus subject areas

  • Engineering(all)

Cite this

Wang, W., Peng, D., Wang, H., Sharif, H., & Chen, H. H. (2007). Optimal image component transmissions in multirate wireless sensor networks. In IEEE GLOBECOM 2007 - 2007 IEEE Global Telecommunications Conference, Proceedings (pp. 976-980). [4411098] (GLOBECOM - IEEE Global Telecommunications Conference). https://doi.org/10.1109/GLOCOM.2007.188