Design frameworks for wireless networks /

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Bibliographic Details
Imprint:Singapore : Springer, 2020.
Description:1 online resource (439 pages)
Language:English
Series:Lecture Notes in Networks and Systems Ser. ; v. 82
Lecture notes in networks and systems ; v. 82.
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/12601772
Hidden Bibliographic Details
Other authors / contributors:Das, Santosh Kumar.
Samanta, Sourav.
Dey, Nilanjan, 1984-
Kumar, Rajesh.
ISBN:9789811395741
9811395748
9789811395734
Notes:Deep Learning and Machine Learning Techniques for Intrusion Detection and Prevention in Wireless Sensor Networks: Comparative Study and Performance Analysis
Print version record.
Summary:This book provides an overview of the current state of the art in wireless networks around the globe, focusing on utilizing the latest artificial intelligence and soft computing techniques to provide design frameworks for wireless networks. These techniques play a vital role in developing a more robust algorithm suitable for the dynamic and heterogeneous environment, making the network self-managed, self-operational, and self-configurational, and efficiently reducing uncertainties and imprecise information.
Other form:Print version: Das, Santosh Kumar. Design Frameworks for Wireless Networks. Singapore : Springer, ©2019 9789811395734
Standard no.:10.1007/978-981-13-9