DocumentCode
1033524
Title
Distributed learning in wireless sensor networks
Author
Predd, Joel B. ; Kulkarni, Sanjeev R. ; Poor, H. Vincent
Author_Institution
Princeton Univ., NJ, USA
Volume
23
Issue
4
fYear
2006
fDate
7/1/2006 12:00:00 AM
Firstpage
56
Lastpage
69
Abstract
This paper discusses nonparametric distributed learning. After reviewing the classical learning model and highlighting the success of machine learning in centralized settings, the challenges that wireless sensor networks (WSN) pose for distributed learning are discussed, and research aimed at addressing these challenges is surveyed.
Keywords
learning (artificial intelligence); reviews; telecommunication computing; wireless sensor networks; distributed inference; machine learning; nonparametric distributed learning; wireless sensor networks; Bandwidth; Delay estimation; Intelligent networks; Machine learning; Parametric statistics; Robustness; Sensor phenomena and characterization; Signal design; Statistical distributions; Wireless sensor networks;
fLanguage
English
Journal_Title
Signal Processing Magazine, IEEE
Publisher
ieee
ISSN
1053-5888
Type
jour
DOI
10.1109/MSP.2006.1657817
Filename
1657817
Link To Document