Energy Scavenging for Wireless Sensor Networks, Shad Roundy; Paul Kenneth Wright; Jan M. Rabaey

Автор: Habib M. Ammari
Название: The Art of Wireless Sensor Networks
ISBN: 3642400086 ISBN-13(EAN): 9783642400087
Издательство: Springer
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Цена: 32142.00 р.
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Описание: With its equal weighting of theoretical and practical considerations, this work tracks recent developments in wireless sensor network technology. The first in a multi-volume set, it focuses on fundamental elements of design, analysis, and implementation.

Автор: Radhakrishna Maringanti; Murlidhar Tiwari; Anish A
Название: Proceedings of Ninth International Conference on Wireless Communication and Sensor Networks
ISBN: 8132218221 ISBN-13(EAN): 9788132218227
Издательство: Springer
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Цена: 32652.00 р.
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Описание:

Optimum Detection Probability with Partially Controlled Random Deployment of Wireless Sensors with Mobile Base Stations.- A Novel Cross Layer Architecture for Video Streaming Over MANET.- RPL-SCSP: A Network-MAC Cross-Layer Design for Wireless Sensor Networks.- Congestion Avoidance and Lifetime Maximization in Wireless Sensor Networks using a Mobile Sink.- Providing Stable Routes in Mobile Ad hoc Networks.- p-shrink: A Heuristic for Improving Minimum ALL-to-ALL Power Broadcast Trees in Wireless Networks.- Hook-Shaped Printed Multiband Antenna for Different Wireless and Mobile Applications.- Return losses and Bandwidth Enhancement by using Back Fire Microstrip Patch Antenna.- Dynamic Spectrum Sensing in Cognitive Radio Networks using Compressive Sensing.- Scheduling Transmissions of Coexisting Wireless Body Area: Networks using Minimum Weight Match.- A Cluster Based Coordination and Communication Framework using GA for WSANs.- An ACO Based Efficient Stagnation Avoidance Methodology for MANETS.- An Approach for Network Coding at Data Link Layer.- Event Triggered Multipath Routing in Wireless Sensor Networks.- Algorithm for Gunshot Detection using Mel-Frequency Cepstral Coefficients (MFCC).- Fault Tolerant QoS Adaptive Clustering Algorithm for Wireless Sensor Networks.- A New Approach for Data Filtering in Wireless Sensor Networks.- A Secure and Efficient Authentication Protocol in VANETs with Privacy Preservation.- Design Approach of Self-Organized Routing Protocol in Wireless Sensor Networks using Biologically Inspired Methods.- Energy Efficient Fuzzy Clustering in Wireless Sensor Network.- Network Optimization in Wireless Sensor Network.- A Secure and Efficient Password-based User Authentication Scheme for Hierarchical Wireless Sensor Networks.

Автор: Roggenkamp, Martha M.; Barrera-Hernandez, Lila; Zi
Название: Energy Networks and the Law
ISBN: 0199645035 ISBN-13(EAN): 9780199645039
Издательство: Oxford Academ
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Цена: 17424.00 р.
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Описание: Energy supply depends on the means of transport to the consumer. Cables and pipelines are necessary to transport oil, gas, and electricity. Their construction and use depend on developments in technology, policies, and laws. This book analyzes the challenges confronting governments, regulators, and network operators in managing energy networks.

Автор: Habib M. Ammari
Название: The Art of Wireless Sensor Networks
ISBN: 3642400655 ISBN-13(EAN): 9783642400650
Издательство: Springer
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Цена: 30039.00 р.
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Описание: This book focuses on advanced topics and applications of wireless sensor networks. It deals with three-dimensional, underground, underwater, body-mounted, and societal networks.

Автор: Brian Otis; Jan Rabaey
Название: Ultra-Low Power Wireless Technologies for Sensor Networks
ISBN: 1441940464 ISBN-13(EAN): 9781441940469
Издательство: Springer
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Цена: 19589.00 р.
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Описание: This book is written for academic and professional researchers designing communication systems for pervasive and low power applications. The main emphasis is on design techniques for low power, highly integrated transceivers.

Автор: Ahmed Abdelgawad; Magdy Bayoumi
Название: Resource-Aware Data Fusion Algorithms for Wireless Sensor Networks
ISBN: 1489987061 ISBN-13(EAN): 9781489987068
Издательство: Springer
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Цена: 15672.00 р.
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Описание: This book introduces resource-aware data fusion algorithms that generate inferences by combining data from multiple sources-techniques useful in centralized and distributed systems to overcome sensor failure, technological limitations, and coverage problems.