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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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樓主: 撒謊
31#
發(fā)表于 2025-3-26 23:47:14 | 只看該作者
Logical Sensors and Computational Mapping, embedded in the system to monitor system correctness during execution. However, an important new aspect of this approach is that a CSN has the ability to sense and interact with the environment, and thus can run its own validation experiments to confirm or refute model structure or parameter values.
32#
發(fā)表于 2025-3-27 01:48:40 | 只看該作者
CSN: The Heat Equation,osition, sensor bias, etc.), and to develop a computational method for its solution. As examples, we describe the use of the heat equation to solve the sensor node localization problem and to detect sensor bias. Simulation and physical experiments are described.
33#
發(fā)表于 2025-3-27 07:59:57 | 只看該作者
Mattiga Panomtaranichagul,Ludger Herrmanne models are simulated using software (C and Matlab), and the performance of robot tasks with and without the presence of an . (i.e., a set of distributed sensor devices) is evaluated in terms of various measures.
34#
發(fā)表于 2025-3-27 11:51:51 | 只看該作者
Mobile Robot Performance Analysis,e models are simulated using software (C and Matlab), and the performance of robot tasks with and without the presence of an . (i.e., a set of distributed sensor devices) is evaluated in terms of various measures.
35#
發(fā)表于 2025-3-27 17:24:57 | 只看該作者
CSN: Overview of Approach,erature variation during a 24-hour period. This model is then incorporated into a one-. in order to report any period during which the sampled temperature values are invalid with respect to (1) the temperature model, or (2) the sensor model. A detailed discussion of the simulation is given in order
36#
發(fā)表于 2025-3-27 21:27:22 | 只看該作者
37#
發(fā)表于 2025-3-28 01:43:26 | 只看該作者
38#
發(fā)表于 2025-3-28 03:05:31 | 只看該作者
39#
發(fā)表于 2025-3-28 08:20:24 | 只看該作者
40#
發(fā)表于 2025-3-28 12:54:34 | 只看該作者
Mobile Robot Performance Analysis,application scenario1. We apply this here to show that the exploitation of nonmobile, distributed sensor and communication devices by a team of mobile robots offers performance advantages in terms of speed, energy, robustness and communication requirements. At one extreme, mobile robots can be provi
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