000			03452nam a22004575i 4500
001			978-0-387-09643-8
003			DE-He213
005			20250710083924.0
007			cr nn 008mamaa
008			100301s2009 xxu| s |||| 0|eng d
020			_a9780387096438 _a99780387096438
024	7		_a10.1007/978-0-387-09643-8 _2doi
100	1		_aHenderson, Thomas. _eauthor.
245	1	0	_aComputational Sensor Networks _h[recurso electrónico] / _cby Thomas Henderson.
264		1	_aBoston, MA : _bSpringer US, _c2009.
300			_bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_arecurso en línea _bcr _2rdacarrier
347			_atext file _bPDF _2rda
505	0		_aCSN: Overview of Approach -- Leadership Algorithms -- Coordinate Frames and Gradient Calculation -- Pattern Formation in S-Nets -- Logical Sensors and Computational Mapping -- Mobile Robot Performance Analysis -- CSN: The Heat Equation -- Bayesian Estimation of Distributed Phenomena.
520			_aThis text proposes a model-based approach to the design and implementation of Computational Sensor Networks (CSNs). 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 practices. Building upon a model-based approach the text discusses computational modeling of sensor networks and covers real-time computational mapping that allows for modification of system parameters according to real-time performance measures. Drawing upon years of theoretical development and practical experience, and using numerous examples and illustrative applications, Thomas Henderson covers the sensor network as a computational science tool and describes: A computational framework for sensor networks; Emergent algorithms for cluster formation, coordinate frames, gradients, reaction-diffusion pattern formation, and level set computation in a sensor network; How CSNs can be used to develop models to probe the structure of the sensor system itself by solving inverse problems based on strong models (e.g., PDEs) of the physical phenomena; How CSNs can be used to model sensor network systems, including surveillance, environment modeling, structure monitoring, and biomedical monitoring; Computational Sensor Networks is a must have book for sensor network application engineers, computer engineers, computer scientists and those involved in the development, design and building of sensor networks in an industrial, research and an academic environment.
650		0	_aENGINEERING.
650		0	_aCOMPUTER NETWORK ARCHITECTURES.
650		0	_aCOMPUTER COMMUNICATION NETWORKS.
650		0	_aENGINEERING MATHEMATICS.
650		0	_aTELECOMMUNICATION.
650	1	4	_aENGINEERING.
650	2	4	_aAPPL.MATHEMATICS/COMPUTATIONAL METHODS OF ENGINEERING.
650	2	4	_aSIGNAL, IMAGE AND SPEECH PROCESSING.
650	2	4	_aCOMPUTER SYSTEMS ORGANIZATION AND COMMUNICATION NETWORKS.
650	2	4	_aCOMPUTER COMMUNICATION NETWORKS.
650	2	4	_aCOMMUNICATIONS ENGINEERING, NETWORKS.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9780387096421
856	4	0	_uhttp://dx.doi.org/10.1007/978-0-387-09643-8 _zVer el texto completo en las instalaciones del CICY
912			_aZDB-2-ENG
942			_2ddc _cER
999			_c56003 _d56003