Document Detail

Signal compression in wireless sensor networks.
MedLine Citation:
PMID:  22124085     Owner:  NLM     Status:  PubMed-not-MEDLINE    
Signal compression is an important tool for reducing communication costs and increasing the lifetime of wireless sensor network deployments. In this paper, we overview and classify an array of proposed compression methods, with an emphasis on illustrating the differences between the various approaches.
Marco F Duarte; Godwin Shen; Antonio Ortega; Richard G Baraniuk
Related Documents :
22163905 - Frca: a fuzzy relevance-based cluster head selection algorithm for wireless mobile ad-h...
21946485 - Geometric design method for occlusal outlines of complex class i and class ii inlay cav...
25415935 - Variable threshold algorithm for division of labor analyzed as a dynamical system.
15002095 - The web: friend or foe of the hand surgeon?
11484995 - Parallel neural systems for classical conditioning: support from computational modeling.
15881305 - Three-dimensional modelling and finite element analysis of the human mandible during cl...
Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Philosophical transactions. Series A, Mathematical, physical, and engineering sciences     Volume:  370     ISSN:  1364-503X     ISO Abbreviation:  Philos Trans A Math Phys Eng Sci     Publication Date:  2012 Jan 
Date Detail:
Created Date:  2011-11-29     Completed Date:  2012-02-01     Revised Date:  2013-04-24    
Medline Journal Info:
Nlm Unique ID:  101133385     Medline TA:  Philos Trans A Math Phys Eng Sci     Country:  England    
Other Details:
Languages:  eng     Pagination:  118-35     Citation Subset:  -    
Electrical and Computer Engineering, University of Massachusetts, Amherst, MA, USA.
Export Citation:
APA/MLA Format     Download EndNote     Download BibTex
MeSH Terms

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine

Previous Document:  Distributed inference in wireless sensor networks.
Next Document:  Sensing data centres for energy efficiency.