Design frameworks for wireless networks / Santosh Kumar Das, Sourav Samanta, Nilanjan Dey, Rajesh Kumar, editors.
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 rob...
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| Other Authors: | , , , |
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| Format: | Ebook |
| Language: | English |
| Published: |
Singapore :
Springer,
2020.
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| Series: | Lecture notes in networks and systems ;
v. 82. |
| Subjects: | |
| Online Access: | Springer eBooks |
| 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. |
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| Item Description: | Deep Learning and Machine Learning Techniques for Intrusion Detection and Prevention in Wireless Sensor Networks: Comparative Study and Performance Analysis. |
| Physical Description: | 1 online resource (439 pages). |
| ISBN: | 981139573X 9789811395734 9811395748 9789811395741 |