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A Distributed Image Compression Scheme for Energy Harvesting Wireless Multimedia Sensor Networks.

Chong Han1,2, Songtao Zhang1, Biao Zhang1

  • 1College of Computer, Nanjing University of Posts and Telecommunications, Nanjing 210003, China.

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|January 30, 2020
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Summary
This summary is machine-generated.

This study proposes a solar-powered distributed image compression scheme for Wireless Multimedia Sensor Networks (WMSNs). The method balances energy consumption, enabling more and higher quality image transmission while extending network survival.

Keywords:
clusterdistributed image compression schemedynamic adjustmentsolar energy

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Area of Science:

  • Computer Science
  • Electrical Engineering
  • Sensor Networks

Background:

  • Edge computing enhances sensor networks but faces challenges with limited battery power.
  • Wireless Multimedia Sensor Networks (WMSNs) have prominent energy consumption issues, especially for image compression and transmission.

Purpose of the Study:

  • To propose a distributed image compression scheme for WMSNs utilizing solar energy harvesting.
  • To improve network performance and longevity by addressing energy constraints.

Main Methods:

  • Implemented a two-level clustering management system: camera-to-normal node clusters for initial compression and normal node clusters for data aggregation.
  • Developed re-clustering and dynamic adjustment methods for adaptive operation mode changes in normal nodes.

Main Results:

  • The proposed scheme effectively balances network energy consumption.
  • Achieved higher quality and greater volume of image transmission compared to existing schemes.
  • Ensured extended network survival time.

Conclusions:

  • The solar energy-harvesting distributed image compression scheme is effective for WMSNs.
  • The approach enhances image transmission capabilities and network longevity under energy constraints.