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020 _a3319497367
_q(electronic bk.)
020 _a9783319497365
_q(electronic bk.)
020 _z3319497359
_q(print)
020 _z9783319497358
_q(print)
035 _a(OCoLC)967762928
_z(OCoLC)967656026
_z(OCoLC)968186986
_z(OCoLC)974650095
_z(OCoLC)981852735
_z(OCoLC)1005756362
_z(OCoLC)1012074003
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050 4 _aR858
_b.I584 2017 EB
245 0 0 _aInternet of things and big data technologies for next generation healthcare
_cChintan Bhatt, Nilanjan Dey, Amira S. Ashour, editors.
264 1 _aCham
_bSpringer
_c2017
300 _a1 recurso en línea
336 _aTexto
_btxt
_2rdacontent
337 _aelectrónico
_bc
_2rdamedia
338 _arecurso electrónico
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 0 _aStudies in big data
_vvolume 23
500 _aSpringerLink
505 0 _aPreface; Contents; IoT Based Healthcare; 1 Internet of Things Driven Connected Healthcare; Abstract; 1 Introduction; 2 Internet of Things Architecture; 3 Internet of Things Based Healthcare; 4 Internet of Things Applications in Healthcare; 5 Challenges and Future Perspectives; 6 Conclusion; References; 2 Internet of Things in HealthCare; Abstract; 1 Brief to the Internet of Things; 2 Introduction of Internet of Things in HealthCare; 2.1 Communication Between Devices; 2.1.1 Medical Body Area Network (MBAN's); 3 Nanotechnology in Internet of Things.
505 8 _a2.1 Model, Parameters and Relevance: Bio-Inspired Algorithm and Pheromone Map2.1.1 Properties and Validation of Pheromone Deposition on Internet of Things (IoT); 3 Proposed Algorithm: Pheromone Alert; 3.1 Formal Proposition: Pheromone Deposition; 3.1.1 Formal Proposition: Pheromone Evaporation; 3.2 Expected Output; 4 Data and Implementation; 4.1 Evaluation of Results; 4.2 Limitations and Future Scope; 5 Conclusion; Appendix; References; 5 Vitality of Robotics in Healthcare Industry: An Internet of Things (IoT) Perspective; Abstract; 1 Introduction; 2 Robotics; 2.1 History and Definition.
505 8 _a2.2 Energy Constrained Nature of IoT Network2.3 Energy Constrained Nature of IoT Health Care Application; 3 Techniques to Improve Energy Efficiency; 3.1 Role of Hardware and Software in Improving Energy Efficiency; 3.2 Role of Protocols in Improving Energy Efficiency; 3.3 Physical Layer Technique to Improve Energy Efficiency; 3.4 Network Layer Technique to Improve Energy Efficiency; 3.5 Data Link Layer Technique to Improve Energy Efficiency; 3.6 Transport Layer Technique to Improve Energy Efficiency; 3.7 Application Layer Technique to Improve Energy Efficiency; 4 Proposed Network Architecture.
505 8 _a3.1 Architecture Requirement: HealthCare Ecosystem in Nanotechnology3.2 Internet of NanoTechnology Things: Health Application Requirements, Opportunities and Challenges; 4 Wearable Devices; 4.1 The Concept of Wearable Device; 4.2 Internet of Things for Personalized HealthCare; 4.3 Wearable Device Characteristics; 4.4 Interoperability Issues; 5 Conclusion; References; 3 Energy Efficient Network Design for IoT Healthcare Applications; Abstract; 1 Introduction; 2 Importance of Energy Efficiency in IoT Healthcare Applications; 2.1 IoT World Forum Reference Model.
505 8 _a4.1 Adopting Real-Time Healthcare Scenario to Proposed Network Architecture Scenario4.2 Proposed Node Placement Technique; 4.3 Proposed Routing Technique; 4.4 Packet Format; 4.5 Route Selection by Destination Node Based in SNR Value; 4.6 Basic Assumptions in Proposed Network Architecture; 4.7 Performance Evaluation; 5 Conclusion; References; 4 Exploring Formal Strategy Framework for the Security in IoT towards e-Health Context using Computational Intelligence; Abstract; 1 Introduction; 1.1 Motivation; 1.2 About the Health Sensors; 2 Similar Works.
520 3 _aThis comprehensive book focuses on better big-data security for healthcare organizations. Following an extensive introduction to the Internet of Things (IoT) in healthcare including challenging topics and scenarios, it offers an in-depth analysis of medical body area networks with the 5th generation of IoT communication technology along with its nanotechnology. It also describes a novel strategic framework and computationally intelligent model to measure possible security vulnerabilities in the context of e-health. Moreover, the book addresses healthcare systems that handle large volumes of data driven by patients? records and health/personal information, including big-data-based knowledge management systems to support clinical decisions. Several of the issues faced in storing/processing big data are presented along with the available tools, technologies and algorithms to deal with those problems as well as a case study in healthcare analytics. Addressing trust, privacy, and security issues as well as the IoT and big-data challenges, the book highlights the advances in the field to guide engineers developing different IoT devices and evaluating the performance of different IoT techniques. Additionally, it explores the impact of such technologies on public, private, community, and hybrid scenarios in healthcare. This book offers professionals, scientists and engineers the latest technologies, techniques, and strategies for IoT and big data.
988 _aEBOOK, asignarmaterias, EBSPRINGER_2017B
650 7 _9483083
_aInternet de los objetos
_2fast
_0(OCoLC)fst01894151
_0
700 1 _aAshour, Amira,
_d1975-
700 1 _aBhatt, Chintan M.,
_d1988-
700 1 _aDey, Nilanjan,
_d1984-
_998032
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=http://link.springer.com/10.1007/978-3-319-49736-5
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cM1S
998 _b02/2018
_dz
_e-
_zSI