Energy threshold adaptation algorithms on image compression to prolong WSN lifetime

Phat Nguyen Huu, Vinh Tran-Quang, Takumi Miyoshi

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

1 Citation (Scopus)

Abstract

This paper proposes two algorithms to balance energy consumption among sensor nodes by distributing image compression workload across a cluster in a wireless sensor network. The main objective of the proposed algorithms is to adopt an energy threshold that is used to implement exchange and/or assignment tasks among sensor nodes. The threshold can be adapted according to the residual energy of sensor nodes, input images, compressed output, and network parameters. We apply the lapped transform technique, which is an extended version of the discrete cosine transform, to the proposed algorithms. We conduct extensive computational experiments to verify our methods and find that the proposed algorithms not only balance total energy consumption among sensor nodes and thus increase the lifetime of the overall network but also reduce block noise in image compression.

Original languageEnglish
Title of host publicationProceedings of the 2010 7th International Symposium on Wireless Communication Systems, ISWCS'10
Pages834-838
Number of pages5
DOIs
Publication statusPublished - 2010
Event2010 7th International Symposium on Wireless Communication Systems, ISWCS'10 - York
Duration: 2010 Sep 192010 Sep 22

Other

Other2010 7th International Symposium on Wireless Communication Systems, ISWCS'10
CityYork
Period10/9/1910/9/22

    Fingerprint

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Electrical and Electronic Engineering

Cite this

Huu, P. N., Tran-Quang, V., & Miyoshi, T. (2010). Energy threshold adaptation algorithms on image compression to prolong WSN lifetime. In Proceedings of the 2010 7th International Symposium on Wireless Communication Systems, ISWCS'10 (pp. 834-838). [5624318] https://doi.org/10.1109/ISWCS.2010.5624318