Swarm Intelligence for Resource Management in Internet of Things
Language: English
Published by Elsevier Science, 2020
Series: Book 14 of 20 - Intelligent Data-Centric Systems: Sensor Collected Intelligence
- Softcover
- New
Seller: moluna, Greven, Germanymoluna
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Examines the development and application of swarm intelligence systems in artificial intelligence as applied to the Internet of Things Discusses intelligent techniques for the implementation of swarm intelligence in IoT Prepared f.
Seller Inventory # 339779757
- Title
- Swarm Intelligence for Resource Management in Internet of Things
- Author
- Hassanien, Aboul Ella
- Publisher
- Elsevier Science
- Publication year
- 2020
- Condition
- New
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 0128182873
- ISBN 13
- 9780128182871
- Series
- Book 14 of 20: Intelligent Data-Centric Systems: Sensor Collected Intelligence
Internet of Things (IoT) is a new platform of various physical objects or "things" equipped with sensors, electronics, smart devices, software, and network connections. IoT represents a new revolution of the Internet network which is driven by the recent advances of technologies such as sensor networks (wearable and implantable), mobile devices, networking, and cloud computing technologies. IoT permits these the smart devices to collect, store and analyze the collected data with limited storage and processing capacities.
Swarm Intelligence for Resource Management in the Internet of Things presents a new approach in Artificial Intelligence that can be used for resources management in IoT, which is considered a critical issue for this network. The authors demonstrate these resource management applications using swarm intelligence techniques. Currently, IoT can be used in many important applications which include healthcare, smart cities, smart homes, smart hospitals, environment monitoring, and video surveillance. IoT devices cannot perform complex on-site data processing due to their limited battery and processing. However, the major processing unit of an application can be transmitted to other nodes, which are more powerful in terms of storage and processing. By applying swarm intelligence algorithms for IoT devices, we can provide major advantages for energy saving in IoT devices. Swarm Intelligence for Resource Management in the Internet of Things shows the reader how to overcome the problems and challenges of creating and implementing swarm intelligence algorithms for each application
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About the Author
Dr. Darwish has been invited as reviewer, invited speaker, organizer, and session chair to many international conferences and journals. He has worked in a wide variety of academic organizations and supervises masters and PhD theses in different areas of computer science. He speaks four languages on a daily basis. Dr. Darwish has a wealth of academic experience and has authored multiple publications which include papers in international journals and conference proceedings. His publications have appeared in international journals, conferences and publishing houses such as IEEE, Springer and Science Direct (Elsevier). Dr. Darwish is editor for 16 prestigious international journals and member of many computing associations. Currently, Dr Darwish is the vice chair of the Scientific Research Group in Egypt (SRGE) in Computer Science and Information Technology. Dr. Darwish is the Ex-Cultural and Educational Attaché, Embassy of Egypt to Kazakhstan and Central Asia from 2011 to 2014.
"About the title" may belong to another edition of this title.
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