| 书目名称 | Resource-Aware Data Fusion Algorithms for Wireless Sensor Networks |
| 编辑 | Ahmed Abdelgawad,Magdy Bayoumi |
| 视频video | |
| 概述 | 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, tempe |
| 丛书名称 | Lecture Notes in Electrical Engineering |
| 图书封面 |  |
| 描述 | . .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. . |
| 出版日期 | Book 2012 |
| 关键词 | Data Fusion; Embedded Systems; Multisensor data fusion; Remote measuring; Wireless Sensor Networks |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-1-4614-1350-9 |
| isbn_softcover | 978-1-4899-8706-8 |
| isbn_ebook | 978-1-4614-1350-9Series ISSN 1876-1100 Series E-ISSN 1876-1119 |
| issn_series | 1876-1100 |
| copyright | Springer Science+Business Media, LLC 2012 |
发表于 2025-3-21 19:02:25
