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Titlebook: Computational Sensor Networks; Thomas Henderson Book 2009 Springer-Verlag US 2009 algorithm.algorithm design.algorithms.architecture.calcu

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發(fā)表于 2025-3-21 20:03:36 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Computational Sensor Networks
編輯Thomas Henderson
視頻videohttp://file.papertrans.cn/234/233121/233121.mp4
概述Describes a computational framework for sensor networks.Discusses how CSNs can be used to develop models to determine the unknown aspects of particular measurement systems given a state of the physica
圖書封面Titlebook: Computational Sensor Networks;  Thomas Henderson Book 2009 Springer-Verlag US 2009 algorithm.algorithm design.algorithms.architecture.calcu
描述.A model-based approach to the design and implementation of Computational Sensor Networks (CSNs) is proposed. This high-level paradigm for the development and application of sensor device networks provides a strong scientific computing foundation, as well as the basis for robust software engineering practice. The three major components of this approach include (1) models of phenomena to be monitored, (2) models of sensors and actuators, and (3) models of the sensor network computation. We propose guiding principles to identify the state or structure of the phenomenon being sensed, or of the sensor network itself. This is called computational modeling. These methods are then incorporated into the operational system of the sensor network and adapted to system performance requirements to produce a mapping of the computation onto the system architecture. This is called real-time computational mapping and allows modification of system parameters according to real-time performance measures. This book deals with the development of a mathematical and modular software development framework to achieve computational sensor networks..
出版日期Book 2009
關(guān)鍵詞algorithm; algorithm design; algorithms; architecture; calculus; computational mapping; computational mode
版次1
doihttps://doi.org/10.1007/978-0-387-09643-8
isbn_softcover978-1-4419-3501-4
isbn_ebook978-0-387-09643-8
copyrightSpringer-Verlag US 2009
The information of publication is updating

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書目名稱Computational Sensor Networks網(wǎng)絡(luò)公開度學(xué)科排名




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Coordinate Frames and Gradient Calculation,, that is, one given in terms of the SELs which define it; this is also called a relative frame. Of course, such a relative frame may include a large number of spatially distributed SELs so long as the necessary conditions hold (see below). It is also possible to anchor SELs to a global, or absolute
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Franz Heidhues,Ludger Herrmann,Dao Chao Thu, that is, one given in terms of the SELs which define it; this is also called a relative frame. Of course, such a relative frame may include a large number of spatially distributed SELs so long as the necessary conditions hold (see below). It is also possible to anchor SELs to a global, or absolute
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Thomas HendersonDescribes a computational framework for sensor networks.Discusses how CSNs can be used to develop models to determine the unknown aspects of particular measurement systems given a state of the physica
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Franz Heidhues,Ludger Herrmann,Dao Chao Thuns to variations of the leadership problem and correctness proofs, see [104]. For a leadership election protocol in the context of target tracking, see [168]. The algorithm presented here is optimal with respect to the number of broadcasts, and has some very nice properties as determined on nodes wh
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Franz Heidhues,Ludger Herrmann,Dao Chao Thurequires a common co?rdinate frame of reference. Almost all calculation depends on functions defined with respect to x, y, z, and t (e.g., the heat equation relates the partial derivative of temperature with respect to time to the second derivative of temperature with respect to space). Other quanti
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