Download PDF, EPUB, Kindle Data-Driven Fuzzy Modeling for Wireless Ad-Hoc Networks
Download PDF, EPUB, Kindle Data-Driven Fuzzy Modeling for Wireless Ad-Hoc Networks
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Author: Anna Lekova
Page Count: 96 pages
Published Date: 25 Mar 2011
Publisher: LAP Lambert Academic Publishing
Publication Country: Germany
Language: English
Type: Pdf
ISBN: 9783844323917
File size: 14 Mb
Download Link: Data-Driven Fuzzy Modeling for Wireless Ad-Hoc Networks
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The present book considers Wireless Ad-hoc Networks (WANETs) in the context of 4G network technologies and Ambient Intelligence. The book proposes how to reduce the power dissipation on mobile devices due to signal transmittion and increased computational requirements due to more sophisticated services. The book lustrates how to manage uncertainties and introduce some flexibility in determine service protocol algorithms by unsupervised learning from dynamic network topology context. Being context aware, services in WANETs enhance their underlying protocols to evolve in the future exploiting data-driven evolving fuzzy modeling.
Read online Data-Driven Fuzzy Modeling for Wireless Ad-Hoc Networks Buy and read online Data-Driven Fuzzy Modeling for Wireless Ad-Hoc Networks Download and read Data-Driven Fuzzy Modeling for Wireless Ad-Hoc Networks for pc, mac, kindle, readers Download to iPad/iPhone/iOS, B&N nook Data-Driven Fuzzy Modeling for Wireless Ad-Hoc Networks
Data-Driven Fuzzy Modeling for Wireless Ad-Hoc Networks by Anna Lekova
Author: Anna Lekova
Page Count: 96 pages
Published Date: 25 Mar 2011
Publisher: LAP Lambert Academic Publishing
Publication Country: Germany
Language: English
Type: Pdf
ISBN: 9783844323917
File size: 14 Mb
Download Link: Data-Driven Fuzzy Modeling for Wireless Ad-Hoc Networks
---------------------------------------------------------------
The present book considers Wireless Ad-hoc Networks (WANETs) in the context of 4G network technologies and Ambient Intelligence. The book proposes how to reduce the power dissipation on mobile devices due to signal transmittion and increased computational requirements due to more sophisticated services. The book lustrates how to manage uncertainties and introduce some flexibility in determine service protocol algorithms by unsupervised learning from dynamic network topology context. Being context aware, services in WANETs enhance their underlying protocols to evolve in the future exploiting data-driven evolving fuzzy modeling.
Read online Data-Driven Fuzzy Modeling for Wireless Ad-Hoc Networks Buy and read online Data-Driven Fuzzy Modeling for Wireless Ad-Hoc Networks Download and read Data-Driven Fuzzy Modeling for Wireless Ad-Hoc Networks for pc, mac, kindle, readers Download to iPad/iPhone/iOS, B&N nook Data-Driven Fuzzy Modeling for Wireless Ad-Hoc Networks