Swarm Intelligence for Resource Management in Internet of Things

indgår i serie Intelligent Data Centric Systems Sensor Collected Intelligence


Swarm Intelligence for Resource Management in Internet of Things
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Format:
Bog, paperback
Udgivelsesdato:
01-08-2020
Sprog:
Engelsk
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The second edition of Nuclear Safety provides the most up to date methods and data needed to evaluate the safety of nuclear facilities and related processes using risk-informed safety analysis, and provides readers with new techniques to assess the consequences of radioactive releases. Gianni Petrangeli provides applies his wealth of experience to expertly guide the reader through an analysis of nuclear safety aspects, and applications of various well-known cases. Since the first edition was published in 2006, the Fukishima 2011 inundation and accident has brought a big change in nuclear safety experience and perception. This new edition addresses lessons learned from the 2011 Fukishima accident, provides further examples of nuclear safety application and includes consideration of the most recent operational events and data. This thoroughly updated resource will be particularly valuable to industry technical managers and operators and the experts involved in plant safety evaluation and controls. This book will satisfy generalists with an ample spectrum of competences, specialists within the nuclear industry, and all those seeking for simple plant modelling and evaluation methods. New to this edition: Up to date analysis on recent events within the field, particularly events at FukushimaFurther examples of application on safety analysisNew ways to use the book through calculated examplesInternet 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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Udgivelsesdato:
01-08-2020
ISBN13:
9780128182871
Vægt:
410 g
Dybde:
9 mm
Bredde:
191 mm
Højde:
235 mm
Format:
Paperback
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