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020			_a9783662572771 _9
024	7		_a10.1007/978-3-662-57277-1 _2doi
040			_bspa _aES-MaUEC _cES-MaUEC
050		4	_aQ342 _b2019 EB
245	0	0	_aComputational Intelligence in Sensor Networks _cedited by Bijan Bihari Mishra, Satchidanand Dehuri, Bijaya Ketan Panigrahi, Ajit Kumar Nayak, Bhabani Shankar Prasad Mishra, Himansu Das.
264		1	_aBerlin, Heidelberg _bSpringer Berlin Heidelberg : _bImprint: Springer _c2019.
300			_a1 recurso en línea (XIV, 488 páginas) _b196 ilustraciones,132 ilustraciones a color
347			_atext file _bPDF
490	0		_aStudies in Computational Intelligence _x1860-949X _v776
505	0		_aDistributed Query Processing Optimization in Wireless Sensor Network Using Artificial Immune System -- Computational Intelligence Techniques for Localization in Static and Dynamic Wireless Sensor Networks- A Review -- Nature Inspired Algorithm Approach for the Development of an Energy Aware Model for Sensor Network -- Routing Protocols -- Distance based Enhanced Threshold Sensitive Stable Election routing Protocol for Heterogeneous Wireless Sensor Network.
520	3		_aThis book discusses applications of computational intelligence in sensor networks. Consisting of twenty chapters, it addresses topics ranging from small-scale data processing to big data processing realized through sensor nodes with the help of computational approaches. Advances in sensor technology and computer networks have enabled sensor networks to evolve from small systems of large sensors to large nets of miniature sensors, from wired communications to wireless communications, and from static to dynamic network topology. In spite of these technological advances, sensor networks still face the challenges of communicating and processing large amounts of imprecise and partial data in resource-constrained environments. Further, optimal deployment of sensors in an environment is also seen as an intractable problem. On the other hand, computational intelligence techniques like neural networks, evolutionary computation, swarm intelligence, and fuzzy systems are gaining popularity in solving intractable problems in various disciplines including sensor networks. The contributions combine the best attributes of these two distinct fields, offering readers a comprehensive overview of the emerging research areas and presenting first-hand experience of a variety of computational intelligence approaches in sensor networks.
650		7	_aInteligencia artificial _2embne _9413115
700	1		_aMishra, Bijan Bihari _eeditor _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aDehuri, Satchidanand _eeditor _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aPanigrahi, Bijaya Ketan _eeditor _4edt _4http://id.loc.gov/vocabulary/relators/edt _9100533
700	1		_aNayak, Ajit Kumar _eeditor _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aMishra, Bhabani Shankar Prasad _eeditor _4edt _4http://id.loc.gov/vocabulary/relators/edt _998234
700	1		_aDas, Himansu _eeditor _4edt _4http://id.loc.gov/vocabulary/relators/edt
710	2		_aSpringerLink (Online service) _9106996
776	0	8	_iPrinted edition: _z9783662572757
776	0	8	_iPrinted edition: _z9783662572764
776	0	8	_iPrinted edition: _z9783662585948
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-662-57277-1 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
490	0		_aIntelligent Technologies and Robotics (Springer-42732)
942			_2lcc _cLE
988			_aPrimersemestre_2019_Robotics
998			_aSI _a_alco _a_vill _b10/2019 _cm _dz _ea _feng _ggw _h0
999			_c111647 _d111647 _x1