Skip to main content
Article
Distributed Signal Processing Techniques for Wireless Sensor Networks
EURASIP Journal on Advances in Signal Processing
  • Erchin Serpedin, Texas A&M University
  • Hongbin Li, Stevens Institute of Technology
  • Aleksandar Dogandžić, Iowa State University
  • Huaiyu Dai, North Carolina State University
  • Paul Cotae, University of Texas at San Antonio
Document Type
Article
Publication Date
1-1-2008
DOI
10.1155/2008/540176
Abstract

Recent advances in micro-electromechanical systems (MEMSs) technology have enabled the design of low-power lowcost smart sensors equipped with multiple onboard functions such as sensing, computing, and communications. Such intelligent devices networked through wireless links have been referred to as wireless sensor networks and recognized as one of the most important technologies for the 21st century. Wireless sensor networks hold the promise to revolutionize the sensing technology for a broad spectrum of applications, including infrastructure monitoring and surveillance, disaster management, monitoring the health status of humans, plants, animals, and industrial machines, and so forth.

Comments

This article is from EURASIP Journal on Advances in Signal Processing 2008 (2008): 540176, doi:10.1155/2008/540176.

Rights
This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright Owner
Erchin Serpedin et al.
Language
en
File Format
application/pdf
Citation Information
Erchin Serpedin, Hongbin Li, Aleksandar Dogandžić, Huaiyu Dai, et al.. "Distributed Signal Processing Techniques for Wireless Sensor Networks" EURASIP Journal on Advances in Signal Processing Vol. 2008 (2008)
Available at: http://works.bepress.com/aleksandar_dogandzic/10/