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Resource-Aware Data Fusion ...

Resource-Aware Data Fusion Algorithms for Wireless Sensor Networks

Abdelgawad, Ahmed

Springer US 2012

This book introduces resource-aware data fusion algorithms to gather and combine data from multiple sources (e.g., sensors) in order to achieve inferences. These techniques can be used in centralized and distributed systems to overcome sensor failure, technological limitation, and spatial and temporal coverage problems. The algorithms described in this book are evaluated with simulation and experimental results to show they will maintain data integrity and make data useful and informative.Describes techniques to overcome real problems posed by wireless sensor networks deployed in circumstances that might interfere with measurements provided, such as strong variations of pressure, temperature, radiation, and electromagnetic noise; Uses simulation and experimental results to evaluate algorithms presented and includes real test-bed;Includes case study implementing data fusion algorithms on a remote monitoring framework for sand production in oil pipelines

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Engineering Algorithms Systems engineering Engineering Circuits and Systems Signal, Image and Speech Processing Algoritmos

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monografia Rebiun13132232 https://catalogo.rebiun.org/rebiun/record/Rebiun13132232 120215s2012 xxu| s |||| 0|eng d 9781461413509 978-1-4614-1350-9 9781461413493 ed. impresa) UMA.RE Abdelgawad, Ahmed Resource-Aware Data Fusion Algorithms for Wireless Sensor Networks Recurso electrónico] by Ahmed Abdelgawad, Magdy Bayoumi Servicio en línea Boston, MA Springer US 2012 Boston, MA Boston, MA Springer US XV, 140p. 48 illus. digital XV, 140p. 48 illus. Lecture Notes in Electrical Engineering 1876-1100 118 Introduction to wireless sensor networks -- Data fusion in wireless sensor networks -- Centralized data fusion algorithms -- Introduction to Kalman filters -- Proposed distributed Kalman filter -- Simulation and experimental results Acceso restringido a miembros del Consorcio de Bibliotecas Universitarias de Andalucía This book introduces resource-aware data fusion algorithms to gather and combine data from multiple sources (e.g., sensors) in order to achieve inferences. These techniques can be used in centralized and distributed systems to overcome sensor failure, technological limitation, and spatial and temporal coverage problems. The algorithms described in this book are evaluated with simulation and experimental results to show they will maintain data integrity and make data useful and informative.Describes techniques to overcome real problems posed by wireless sensor networks deployed in circumstances that might interfere with measurements provided, such as strong variations of pressure, temperature, radiation, and electromagnetic noise; Uses simulation and experimental results to evaluate algorithms presented and includes real test-bed;Includes case study implementing data fusion algorithms on a remote monitoring framework for sand production in oil pipelines Modo de acceso: World Wide Web Springer Engineering Algorithms Systems engineering Engineering Circuits and Systems Signal, Image and Speech Processing Algoritmos Bayoumi, Magdy SpringerLink (Online service) SpringerLink eBooks (Servicio en línea) Lecture Notes in Electrical Engineering (Servicio en línea) Springer eBooks Springer eBooks

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monografia Rebiun13132232 https://catalogo.rebiun.org/rebiun/record/Rebiun13132232 120215s2012 xxu| s |||| 0|eng d 9781461413509 978-1-4614-1350-9 9781461413493 ed. impresa) UMA.RE Abdelgawad, Ahmed Resource-Aware Data Fusion Algorithms for Wireless Sensor Networks Recurso electrónico] by Ahmed Abdelgawad, Magdy Bayoumi Servicio en línea Boston, MA Springer US 2012 Boston, MA Boston, MA Springer US XV, 140p. 48 illus. digital XV, 140p. 48 illus. Lecture Notes in Electrical Engineering 1876-1100 118 Introduction to wireless sensor networks -- Data fusion in wireless sensor networks -- Centralized data fusion algorithms -- Introduction to Kalman filters -- Proposed distributed Kalman filter -- Simulation and experimental results Acceso restringido a miembros del Consorcio de Bibliotecas Universitarias de Andalucía This book introduces resource-aware data fusion algorithms to gather and combine data from multiple sources (e.g., sensors) in order to achieve inferences. These techniques can be used in centralized and distributed systems to overcome sensor failure, technological limitation, and spatial and temporal coverage problems. The algorithms described in this book are evaluated with simulation and experimental results to show they will maintain data integrity and make data useful and informative.Describes techniques to overcome real problems posed by wireless sensor networks deployed in circumstances that might interfere with measurements provided, such as strong variations of pressure, temperature, radiation, and electromagnetic noise; Uses simulation and experimental results to evaluate algorithms presented and includes real test-bed;Includes case study implementing data fusion algorithms on a remote monitoring framework for sand production in oil pipelines Modo de acceso: World Wide Web Springer Engineering Algorithms Systems engineering Engineering Circuits and Systems Signal, Image and Speech Processing Algoritmos Bayoumi, Magdy SpringerLink (Online service) SpringerLink eBooks (Servicio en línea) Lecture Notes in Electrical Engineering (Servicio en línea) Springer eBooks Springer eBooks