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008			170124s2017 sz a ob 000 0 eng d
020			_a3319477137
020			_a3319477153 _q(electronic bk.)
020			_a9783319477138
020			_a9783319477152 _q(electronic bk.)
020			_z9783319477138 _q(print)
035			_a(OCoLC)969844472 _z(OCoLC)974650043 _z(OCoLC)981113853 _z(OCoLC)981820423 _z(OCoLC)1005807234 _z(OCoLC)1011792300
040			_aGW5XE _cGW5XE _dYDX _dOCLCF _dUAB _dNJR _dUPM _dVT2 _dUWO _dIOG _dESU _dJBG _dIAD _dICW _dICN _dOTZ _dOCLCQ _dU3W _dES-MaUEC _bspa
050		4	_aQ342 _b.C667 2017 EB
245	0	0	_aComputational intelligence in wireless sensor networks : _brecent advances and future challenges _cedited by Ajith Abraham, Rafael Falcon, Mario Koeppen.
264		1	_aCham, Switzerland _bSpringer _c2017
300			_a1 recurso en línea (xv, 210 páginas) _bilustraciones
336			_aTexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	0		_aStudies in computational intelligence _x1860-949X _vvolume 676
500			_aSpringerLink _bSpringer Engineering eBooks 2017 English+International
504			_aIncluye referencias bibliográficas
505	0		_aPreface -- A Genetic Programming Approach to Cost-Sensitive Control in Resource Constrained Sensor Systems -- A Study on Performance of the Hill Climbing Heuristic Method for Router Placement in Mesh Networks -- An Automated Irrigation System Based on a Low- Cost Micro-controller for Tomato Production in South India -- Artificial-Neural-Network-based Real-Time Urban Road Traffic State Estimation Framework -- Attack Detection using Evolutionary Computation -- Computational Intelligence based Security in WSNs -- Technologies and Design Challenges -- Efficient Anomaly Detection System for Video Surveillance Application in WVSN with Particle Swarm Optimization -- Planning Robust Sensor Relocation Trajectories for a Mobile Robot with Evolutionary Multi-Objective Optimization.
520	3		_aThis book emphasizes the increasingly important role that Computational Intelligence (CI) methods are playing in solving a myriad of entangled Wireless Sensor Networks (WSN) related problems. The book serves as a guide for surveying several state-of-the-art WSN scenarios in which CI approaches have been employed. The reader finds in this book how CI has contributed to solve a wide range of challenging problems, ranging from balancing the cost and accuracy of heterogeneous sensor deployments to recovering from real-time sensor failures to detecting attacks launched by malicious sensor nodes and enacting CI-based security schemes. Network managers, industry experts, academicians and practitioners alike (mostly in computer engineering, computer science or applied mathematics) benefit from the spectrum of successful applications reported in this book. Senior undergraduate or graduate students may discover in this book some problems well suited for their own research endeavors. USP: Presents recent advances and future challenges of computational intelligence (CI) in wireless sensor networks Surveys the state of the art in CI applied to challenging real-world problems in the wireless sensor networks realm Is useful for researchers, network managers, industry experts, academicians, and practitioners who all benefit from the wide spectrum of successful application domains.
650		7	_aInteligencia artificial _2embne _0(OCoLC)fst00871995 _0 _9413115
700	1		_aAbraham, Ajith _d1968- _eeditor literario _945309
700	1		_aFalcón, Rafael, _d1979- _eeditor literario _96864
700	1		_aKoeppen, Mario, _eeditor literario
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=http://link.springer.com/10.1007/978-3-319-47715-2 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
988			_aEBOOK, asignarmaterias, EBSPRINGER_2017B
998			_b02/2018 _dz _e- _zSI
999			_c95255 _d95255 _x1