Swarm intelligence resource management (4 Ergebnisse)
Sprache: Englisch
Verlag: Academic Press, 2020
Serie: Intelligent Data-Centric Systems: Sensor Collected Intelligence, Buch 14 von 20. Buch 14 von 20 - Intelligent Data-Centric Systems: Sensor Collected Intelligence
- Softcover
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Zustand: New. pp. 232.
Sprache: Englisch
Verlag: Academic Press, 2020
Serie: Intelligent Data-Centric Systems: Sensor Collected Intelligence, Buch 14 von 20. Buch 14 von 20 - Intelligent Data-Centric Systems: Sensor Collected Intelligence
- Softcover
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Zustand: New. In.
Sprache: Englisch
Verlag: Elsevier Science, 2020
Serie: Intelligent Data-Centric Systems: Sensor Collected Intelligence, Buch 14 von 20. Buch 14 von 20 - Intelligent Data-Centric Systems: Sensor Collected Intelligence
- Softcover
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Zustand: New. 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.
Sprache: Englisch
Verlag: Elsevier Science & Technology, Academic Press Jun 2020, 2020
Serie: Intelligent Data-Centric Systems: Sensor Collected Intelligence, Buch 14 von 20. Buch 14 von 20 - Intelligent Data-Centric Systems: Sensor Collected Intelligence
- Softcover
Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH
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Taschenbuch. Zustand: Neu. Neuware - 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 senso…r 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.
