Titlebook: Computational Intelligence in Wireless Sensor Networks; Recent Advances and Ajith Abraham,Rafael Falcon,Mario Koeppen Book 2017 Springer I

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書目名稱Computational Intelligence in Wireless Sensor Networks影響因子(影響力)




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書目名稱Computational Intelligence in Wireless Sensor Networks被引頻次學(xué)科排名




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Malfunction

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Book 2017er science or applied mathematics) benefit from th e spectrum of successful applications reported in this book. Senior undergraduate or graduate students may discover in this book some problems well suited for their own research endeavors..

一美元

Book 2017ss Sensor Networks (WSN) related problems. The book serves as a guide for surveying several state-of-the-art WSN scenarios in which CI approaches have been employed. The reader finds in this book how CI has contributed to solve a wide range of challenging problems, ranging from balancing the cost an

石墨

1860-949X n CI applied to challenging real-world problems in the wirel.This book emphasizes the increasingly important role that Computational Intelligence (CI) methods are playing in solving a myriad of entangled Wireless Sensor Networks (WSN) related problems. The book serves as a guide for surveying severa

阻擋

Physica-Schriften zur Betriebswirtschaftational intelligence (CI) based security schemes have not been properly explored. Here, we explore the CI-based approach for scientific computing problems and try to find the recent challenges and future opportunities for developing the CI-based security schemes for WSNs.

阻擋

Computational Intelligence Based Security in Wireless Sensor Networks: Technologies and Design Chalational intelligence (CI) based security schemes have not been properly explored. Here, we explore the CI-based approach for scientific computing problems and try to find the recent challenges and future opportunities for developing the CI-based security schemes for WSNs.

西瓜

1860-949X eported in this book. Senior undergraduate or graduate students may discover in this book some problems well suited for their own research endeavors..978-3-319-83804-5978-3-319-47715-2Series ISSN 1860-949X Series E-ISSN 1860-9503

Glycogen

https://doi.org/10.1007/978-3-658-41149-7 based on both cost and accuracy. We compare these approaches in a setting where the available budget for sampling is considered to remain constant, and in a setting where the system is sensitive to a fluctuating budget, for example available battery power. We show that in both settings, for increas

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https://doi.org/10.1007/978-3-658-41149-7i-objective optimization models. Thus, for the mesh router nodes placement, the bi-objective optimization problem is obtained consisting in the maximization of the size of the giant component in the mesh routers network (for measuring network connectivity) and that of user coverage. Some computation