Low-complexity and energy-efficient algorithms on image compression for wireless sensor networks

Phat Nguyen Huu, Vinh Tran-Quang, Takumi Miyoshi

研究成果: Article

11 引用 (Scopus)

抜粋

This paper proposes two algorithms to balance energy consumption among sensor nodes by distributing the workload of image compression tasks within a cluster on wireless sensor networks. The main point of the proposed algorithms is to adopt the energy threshold, which is used when we implement the exchange and/or assignment of tasks among sensor nodes. The threshold is well adaptive to the residual energy of sensor nodes, input image, compressed output, and network parameters. We apply the lapped transform technique, an extended version of the discrete cosine transform, and run length encoding before Lempel-Ziv-Welch coding to the proposed algorithms to improve both quality and compression rate in image compression scheme. We extensively conduct computational experiments to verify the our methods and find that the proposed algorithms achieve not only balancing the total energy consumption among sensor nodes and, thus, increasing the overall network lifetime, but also reducing block noise in image compression.

元の言語English
ページ(範囲)3438-3447
ページ数10
ジャーナルIEICE Transactions on Communications
E93-B
発行部数12
DOI
出版物ステータスPublished - 2010 12

ASJC Scopus subject areas

  • Software
  • Computer Networks and Communications
  • Electrical and Electronic Engineering

フィンガープリント Low-complexity and energy-efficient algorithms on image compression for wireless sensor networks' の研究トピックを掘り下げます。これらはともに一意のフィンガープリントを構成します。

  • これを引用