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Published by Chapman and Hall/CRC, 2024
ISBN 10: 0367613158 ISBN 13: 9780367613150
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Published by Chapman and Hall/CRC, 2024
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Published by Chapman and Hall/CRC, 2024
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Published by Chapman and Hall/CRC, 2024
ISBN 10: 0367613158 ISBN 13: 9780367613150
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Published by Taylor & Francis Ltd, 2024
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Published by Chapman and Hall/CRC, 2024
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Published by Chapman and Hall/CRC 2020-11-24, 2020
ISBN 10: 0367342413 ISBN 13: 9780367342418
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Published by Chapman and Hall/CRC, 2020
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Published by Chapman and Hall/CRC, 2020
ISBN 10: 0367342413 ISBN 13: 9780367342418
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Published by Taylor & Francis Ltd, 2020
ISBN 10: 0367342413 ISBN 13: 9780367342418
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Published by Chapman and Hall/CRC, 2020
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Published by Chapman and Hall/CRC, 2020
ISBN 10: 0367342413 ISBN 13: 9780367342418
Language: English
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Published by Chapman and Hall/CRC, 2020
ISBN 10: 0367342413 ISBN 13: 9780367342418
Language: English
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Published by Chapman and Hall/CRC, 2020
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Published by Chapman and Hall/CRC, 2020
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Published by Taylor & Francis Ltd, 2024
ISBN 10: 0367613158 ISBN 13: 9780367613150
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Paperback. Condition: new. Paperback. Wireless Sensor Networks: Evolutionary Algorithms for Optimizing Performance provides an integrative overview of bio-inspired algorithms and their applications in the area of Wireless Sensor Networks (WSN). Along with the usage of the WSN, the number of risks and challenges occurs while deploying any WSN. Therefore, to defeat these challenges some of the bio-inspired algorithms are applied and discussed in this book. Discussion includes a broad, integrated perspective on various challenges and issues in WSN and also impact of bio-inspired algorithms on the lifetime of the WSN. It creates interdisciplinary theory, concepts, definitions, models and findings involved in WSN and Bio-inspired algorithms making it an essential guide and reference. It includes various WSN examples making the book accessible to a broader interdisciplinary readership.The book offers comprehensive coverage of the most essential topics, including: Evolutionary algorithms Swarm intelligence Hybrid algorithms Energy efficiency in WSN Load balancing of gateways Localization Clustering and routing Designing fitness functions according to the issues in WSN.The book explains about practices of shuffled complex evolution algorithm, shuffled frog leaping algorithm, particle swarm optimization and dolphin swarm optimization to defeat various challenges in WSN. The author elucidates how we must transform our thinking, illuminating the benefits and opportunities offered by bio-inspired approaches to innovation and learning in the area of WSN. This book serves as a reference book for scientific investigators who shows an interest in evolutionary computation and swarm intelligence as well as issues and challenges in WSN. With the evolution of soft computing, bio-inspired algorithms have gained more attention in recent years. This book is aimed at undergraduates, graduates and researchers working in the domain of wireless networks. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Published by Chapman and Hall/CRC, 2024
ISBN 10: 0367613158 ISBN 13: 9780367613150
Language: English
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Published by Taylor & Francis Ltd, 2024
ISBN 10: 0367613158 ISBN 13: 9780367613150
Language: English
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Published by Taylor & Francis Ltd, 2024
ISBN 10: 0367613158 ISBN 13: 9780367613150
Language: English
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Paperback. Condition: new. Paperback. Wireless Sensor Networks: Evolutionary Algorithms for Optimizing Performance provides an integrative overview of bio-inspired algorithms and their applications in the area of Wireless Sensor Networks (WSN). Along with the usage of the WSN, the number of risks and challenges occurs while deploying any WSN. Therefore, to defeat these challenges some of the bio-inspired algorithms are applied and discussed in this book. Discussion includes a broad, integrated perspective on various challenges and issues in WSN and also impact of bio-inspired algorithms on the lifetime of the WSN. It creates interdisciplinary theory, concepts, definitions, models and findings involved in WSN and Bio-inspired algorithms making it an essential guide and reference. It includes various WSN examples making the book accessible to a broader interdisciplinary readership.The book offers comprehensive coverage of the most essential topics, including: Evolutionary algorithms Swarm intelligence Hybrid algorithms Energy efficiency in WSN Load balancing of gateways Localization Clustering and routing Designing fitness functions according to the issues in WSN.The book explains about practices of shuffled complex evolution algorithm, shuffled frog leaping algorithm, particle swarm optimization and dolphin swarm optimization to defeat various challenges in WSN. The author elucidates how we must transform our thinking, illuminating the benefits and opportunities offered by bio-inspired approaches to innovation and learning in the area of WSN. This book serves as a reference book for scientific investigators who shows an interest in evolutionary computation and swarm intelligence as well as issues and challenges in WSN. With the evolution of soft computing, bio-inspired algorithms have gained more attention in recent years. This book is aimed at undergraduates, graduates and researchers working in the domain of wireless networks. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Published by Taylor & Francis Ltd, 2024
ISBN 10: 0367613158 ISBN 13: 9780367613150
Language: English
Seller: AussieBookSeller, Truganina, VIC, Australia
Paperback. Condition: new. Paperback. Wireless Sensor Networks: Evolutionary Algorithms for Optimizing Performance provides an integrative overview of bio-inspired algorithms and their applications in the area of Wireless Sensor Networks (WSN). Along with the usage of the WSN, the number of risks and challenges occurs while deploying any WSN. Therefore, to defeat these challenges some of the bio-inspired algorithms are applied and discussed in this book. Discussion includes a broad, integrated perspective on various challenges and issues in WSN and also impact of bio-inspired algorithms on the lifetime of the WSN. It creates interdisciplinary theory, concepts, definitions, models and findings involved in WSN and Bio-inspired algorithms making it an essential guide and reference. It includes various WSN examples making the book accessible to a broader interdisciplinary readership.The book offers comprehensive coverage of the most essential topics, including: Evolutionary algorithms Swarm intelligence Hybrid algorithms Energy efficiency in WSN Load balancing of gateways Localization Clustering and routing Designing fitness functions according to the issues in WSN.The book explains about practices of shuffled complex evolution algorithm, shuffled frog leaping algorithm, particle swarm optimization and dolphin swarm optimization to defeat various challenges in WSN. The author elucidates how we must transform our thinking, illuminating the benefits and opportunities offered by bio-inspired approaches to innovation and learning in the area of WSN. This book serves as a reference book for scientific investigators who shows an interest in evolutionary computation and swarm intelligence as well as issues and challenges in WSN. With the evolution of soft computing, bio-inspired algorithms have gained more attention in recent years. This book is aimed at undergraduates, graduates and researchers working in the domain of wireless networks. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Published by Chapman and Hall/CRC, 2020
ISBN 10: 0367342413 ISBN 13: 9780367342418
Language: English
Seller: Biblios, Frankfurt am main, HESSE, Germany
Condition: New. PRINT ON DEMAND.