nach der Bestellung gedruckt Neuware - Printed after ordering - Communication Networks are growing at a rapid pace; so is it's complexity and depleting nature of quality in services. There arises a need to have a mechanism which can actually determine the best possible way to increase the efficiency of communication being carried out. To this very issue, Fuzzy logic application presents an answer and this book deals with one such way taking into account specific criterion so as to calculate best possible path to have a successful communication.

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Bibliographic Details

Title: Applications of Fuzzy Logic in Computer Network theory : A study to make network's more efficient
Publisher: LAP LAMBERT Academic Publishing
Publication Date: 2013
Language: English
ISBN 10: 3659426601
ISBN 13: 9783659426605
Binding: Taschenbuch
Condition: Neu
Dimensions: 220 millimeters width by 150 millimeters height by 4 millimeters depth
Weight: 107 grams

About this title

Synopsis

Communication Networks are growing at a rapid pace; so is it's complexity and depleting nature of quality in services. There arises a need to have a mechanism which can actually determine the best possible way to increase the efficiency of communication being carried out. To this very issue, Fuzzy logic application presents an answer and this book deals with one such way taking into account specific criterion so as to calculate best possible path to have a successful communication.

About the Author

Gurpreet Singh Saini has received degree of Master's in Technology from Amity University, India and specializes in field of Mobile Ad-Hoc Networks, Fuzzy logic, Wireless Sensor Networks and Mobile Computing along-with their applications. The area's of interest include latest developments in field of Ad-Hoc Communication and Soft Computing.

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