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Verlag: Taylor & Francis Ltd, London, 2024
ISBN 10: 0367608898 ISBN 13: 9780367608897
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In den WarenkorbPaperback. Zustand: new. Paperback. Computational Intelligence for Wireless Sensor Networks: Principles and Applications provides an integrative overview of the computational intelligence (CI) in wireless sensor networks and enabled technologies. It aims to demonstrate how the paradigm of computational intelligence can benefit Wireless Sensor Networks (WSNs) and sensor-enabled technologies to overcome their existing issues.This book provides extensive coverage of the multiple design challenges of WSNs and associated technologies such as clustering, routing, media access, security, mobility, and design of energy-efficient network operations.It also describes various CI strategies such as fuzzy computing, evolutionary computing, reinforcement learning, artificial intelligence, swarm intelligence, teaching learning-based optimization, etc. It also discusses applying the techniques mentioned above in wireless sensor networks and sensor-enabled technologies to improve their design.The book offers comprehensive coverage of related topics, including:Emergence of intelligence in wireless sensor networksTaxonomy of computational intelligenceDetailed discussion of various metaheuristic techniquesDevelopment of intelligent MAC protocolsDevelopment of intelligent routing protocolsSecurity management in WSNsThis book mainly addresses the challenges pertaining to the development of intelligent network systems via computational intelligence. It provides insights into how intelligence has been pursued and can be further integrated in the development of sensor-enabled applications. This book addresses the challenges for the development of Computational Intelligence based WSN for various applications in public management system. It presents theoretical, methodological, well-established and validated empirical work related to the subject. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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In den WarenkorbPaperback. Zustand: new. Paperback. Computational Intelligence for Wireless Sensor Networks: Principles and Applications provides an integrative overview of the computational intelligence (CI) in wireless sensor networks and enabled technologies. It aims to demonstrate how the paradigm of computational intelligence can benefit Wireless Sensor Networks (WSNs) and sensor-enabled technologies to overcome their existing issues.This book provides extensive coverage of the multiple design challenges of WSNs and associated technologies such as clustering, routing, media access, security, mobility, and design of energy-efficient network operations.It also describes various CI strategies such as fuzzy computing, evolutionary computing, reinforcement learning, artificial intelligence, swarm intelligence, teaching learning-based optimization, etc. It also discusses applying the techniques mentioned above in wireless sensor networks and sensor-enabled technologies to improve their design.The book offers comprehensive coverage of related topics, including:Emergence of intelligence in wireless sensor networksTaxonomy of computational intelligenceDetailed discussion of various metaheuristic techniquesDevelopment of intelligent MAC protocolsDevelopment of intelligent routing protocolsSecurity management in WSNsThis book mainly addresses the challenges pertaining to the development of intelligent network systems via computational intelligence. It provides insights into how intelligence has been pursued and can be further integrated in the development of sensor-enabled applications. This book addresses the challenges for the development of Computational Intelligence based WSN for various applications in public management system. It presents theoretical, methodological, well-established and validated empirical work related to the subject. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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In den WarenkorbPaperback. Zustand: new. Paperback. Computational Intelligence for Wireless Sensor Networks: Principles and Applications provides an integrative overview of the computational intelligence (CI) in wireless sensor networks and enabled technologies. It aims to demonstrate how the paradigm of computational intelligence can benefit Wireless Sensor Networks (WSNs) and sensor-enabled technologies to overcome their existing issues.This book provides extensive coverage of the multiple design challenges of WSNs and associated technologies such as clustering, routing, media access, security, mobility, and design of energy-efficient network operations.It also describes various CI strategies such as fuzzy computing, evolutionary computing, reinforcement learning, artificial intelligence, swarm intelligence, teaching learning-based optimization, etc. It also discusses applying the techniques mentioned above in wireless sensor networks and sensor-enabled technologies to improve their design.The book offers comprehensive coverage of related topics, including:Emergence of intelligence in wireless sensor networksTaxonomy of computational intelligenceDetailed discussion of various metaheuristic techniquesDevelopment of intelligent MAC protocolsDevelopment of intelligent routing protocolsSecurity management in WSNsThis book mainly addresses the challenges pertaining to the development of intelligent network systems via computational intelligence. It provides insights into how intelligence has been pursued and can be further integrated in the development of sensor-enabled applications. This book addresses the challenges for the development of Computational Intelligence based WSN for various applications in public management system. It presents theoretical, methodological, well-established and validated empirical work related to the subject. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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In den WarenkorbGebunden. Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Dr. Sandip K Chaurasiya received his M.E degree in Computer Science and Technology from the Indian Institute of Engineering Science and Technology Shibpur, Howrah, West Bengal, INDIA, in June 2010. He is working as an Assistant Professor.
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