The Internet of things: enabling technologies, platforms, and use cases
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| Format: | Buch |
| Sprache: | English |
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Boca Raton
CRC Press
[2017]
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| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | Hier auch später erschienene, unveränderte Nachdrucke |
| Beschreibung: | XXVII, 364 Seiten Illustrationen |
| ISBN: | 9781498761284 9781032339719 |
Internformat
MARC
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| 008 | 170317s2017 xx a||| |||| 00||| eng d | ||
| 020 | |a 9781498761284 |c hbk |9 978-1-4987-6128-4 | ||
| 020 | |a 9781032339719 |9 978-1-03-233971-9 | ||
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| 100 | 1 | |a Chelliah, Pethuru Raj |d ca. 20./21. Jahrhundert |e Verfasser |0 (DE-588)1088794912 |4 aut | |
| 245 | 1 | 0 | |a The Internet of things |b enabling technologies, platforms, and use cases |c Pethuru Raj, Anupama C. Raman |
| 264 | 1 | |a Boca Raton |b CRC Press |c [2017] | |
| 264 | 4 | |c © 2017 | |
| 300 | |a XXVII, 364 Seiten |b Illustrationen | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 500 | |a Hier auch später erschienene, unveränderte Nachdrucke | ||
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| 856 | 4 | 2 | |m Digitalisierung UB Bamberg - ADAM Catalogue Enrichment |q application/pdf |u http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=029635023&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |3 Inhaltsverzeichnis |
| 943 | 1 | |a oai:aleph.bib-bvb.de:BVB01-029635023 | |
Datensatz im Suchindex
| _version_ | 1818239793171005440 |
|---|---|
| adam_text |
Contents
Foreword.xix
Preface.xxi
Acknowledgments.xxv
About the Authors.xxvii
1 Demystifying the IoT Paradigm.1
Why the IoT Is Strategically Sound.2
IoT Leads to Smarter Computing.2
IoT Delivers Smarter Environments.3
IoT Prescribes the Shift toward People IT.4
The Brewing and Blossoming Trends in IT Space.4
The Key Drivers for the IoT Discipline.4
Everything Gets Service-Enabled.5
Big Data Becomes Big Insights.5
Envisioning Software-Defined Clouds.6
The Diversity of IoT Data Sources.6
The Technology Space.7
The Process Space.7
Infrastructure Space.7
Architecture Space.7
Envisioning the Internet of Things Era.8
Deeper Digitization toward Smart Objects or Sentient Materials.8
The Connected Devices.9
Adaptive Applications.10
Illustrating the Device-to-Device/Machine-to-Machine Integration Concept.10
The Popular M2M Applications.11
Smart Energy.11
Smart Health Care.11
Smart Home Security.11
Smart Cargo Handling.12
Smart Traffic Management. 12
Smart Inventory and Replenishment Management.12
Smart Cash Payment.12
Smart Tracking.17
Smart Displays. 17
v
vi ■ Contents
Smarter Manufacturing.13
Smart Asset Management. 13
Smarter Retailing.14
Explaining the Aspect of Device-to-Cloud (D2C) Integration.14
Clouds Infrastructures for Next-Generation Device Applications.13
Cloud Infrastructures for IoT Data Analytics.15
Cloud Infrastructures for Smartphone Services.16
The Emergence of the IoT Platform as a Service (PaaS).16
Device Management. 16
The Real-Time Analytics of IoT Big Data.16
Integration with Enterprise Systems.17
Digging into the Cloud-to-Cloud (C2C) Integration Paradigm.17
An IoT Application Scenario.18
Describing the Sensor-to-Cloud Integration Concept.19
Storage.20
Azure IoT Hub Device Management.20
Homeland Security and the Sensor Cloud.22
The Prominent IoT Realization Technologies.23
The IoT: The Key Application Domains.24
The IoT Challenges and the Research Domains.26
The Research Domains.27
The Emerging IoT Flavors.27
The Industrial Internet of Things (IIoT).28
Consumer Internet of Things (CIoT).31
Social Internet of Things (SIoT).32
Semantic Internet of Things (SIoT).33
Why Semantics for the Interoperable IoT.35
Cognitive Internet of Things (CIoT).36
Envisioning Cognitive IoT.36
Conclusion.37
Bibliography.38
2 Realization of IoT Ecosystem Using Wireless Technologies.39
Introduction.40
Architecture for IoT Using Mobile Devices.41
Mobile Technologies for Supporting IoT Ecosystem.43
5G Technology.43
Software-Defined Networking.43
Network Functions Virtualization.44
5G Architecture.46
Ultra Wide Band Technology.46
How UWB Works.47
ISO 18000 7DASH7. 47
Near Field Communication Technology.48
Energy Harvesting for Power Conservation in the IoT System.49
Architecture of an Energy Harvesting Terminal for a Wireless Sensor Network.50
Mobile Application Development Platforms.51
Contents ■ vii
Mobile Use Cases for IoT.53
Low Power Wide Area Networking Technologies.53
LPWAN Network Topologies.55
Direct Device Connectivity Topology of LPWAN.55
Indirect Device Connectivity through a LPWAN Gateway.56
Sigfox.56
Binary Phase Shift Keying.57
Weightless.57
Weigh tless-P.57
Weightless-N.57
Weightless-W. 58
NWave.58
Ingenu.58
Random Phase Multiple Access.58
LoRa.59
Conclusion.59
Bibliography.60
3 Infrastructure and Service Discovery Protocols for the IoT Ecosystem. 61
Introduction.*.62
Layered Architecture for IoT.62
Objects Layer.63
Object Abstraction Layer. 63
Service Management Layer.63
Application Layer.63
Business Layer.64
Protocol Architecture of IoT.64
Infrastructure Protocols.64
Routing Protocol.64
IEEE 802.15.4. 66
IPv6 over Low-Power Wireless Personal Area Networks.68
Network Architecture of 6L0WPAN.68
Protocol Stack of 6L0WPAN.70
Bluetooth Low Energy.71
Generic Attribute Profile.72
Attribute Protocol. 72
Security Manager Protocol.72
EPCglobal.73
Long Term Evolution-Advanced.73
Z-Wave.75
Components of Z-Wave Network.75
ZigBee.76
Device or Service Discovery for IoT.77
Bluetooth Beacons. 77
Wi-Fi Aware.77
Physical Web. 78
Open Hybrid. 78
viii ■ Contents
Shazam. 78
Chirp. 78
How Chirp Works.79
Protocols for IoT Service Discovery.79
multicast Domain Name System (mDNS).79
DNS Service Discovery.80
Universal Plug and Play.81
Prominent IoT Service Discovery Products Available in the Market.82
Bonjour.82
Consul.83
Basic Architecture of Consul.83
Alljoyn.83
Conclusion.84
References.84
4 The Integration Technologies and Tools for IoT Environments.85
Introduction.86
IoT Communication Protocol Requirements.87
The IoT Portion for Smarter Enterprises and Environments.88
The Growing Importance of the IoT Paradigm.88
The Meteoric Rise of Device Ecosystem.88
The Dazzling Growth of Operational and Transactional Systems.89
Deeper and Decisive Data Analytics.*.89
The Emergence of Pioneering Analytics (Generic as well as Specific). 90
State-of-the-Art Data Science Tools.90
Sensor and Actuator Networks. 91
Sensor-to-Cloud Integration.93
The IoT Device Integration Concepts, Standards, and Implementations.95
Machine-to-Machine Communication.95
Service Oriented Device Architecture for Device Integration.96
An Illuminating Use Case.*.97
Device Profile for Web Services.97
About the DPWSim Development Toolkit.99
The Reference Architecture for Smarter Hospitals.100
Messaging Methods: Pub or Sub and Point-to-Point.100
Node DPWS: Efficient Web Services for the IoT.101
The Open Service Gateway Initiative Standard.102
Scalability.103
Robustness.103
Remote OSGi. 104
Eclipse Kura.104
openHAB. 105
The REST Paradigm.106
The Device Connectivity via the OPC Standard. 106
The Device Integration Protocols and Middleware. 107
Message Queue Telemetry Transport.108
Extensible Messaging and Presence Protocol. 110
Contents ■ ix
ejabberd. 110
Data Distribution Bus. Ill
Advanced Message Queuing Protocol.112
Constrained Application Protocol.114
The Protocol Landscape for IoT.116
Conclusion. 117
Bibliography. 117
5 The Enablement Platforms for IoT Applications and Analytics.119
Describing the IoT Journey. 120
The IoT Building Blocks. 121
Digitized Entities and Connected Devices. 121
IoT or Sensor Data Gateway. 121
Application Enablement Platforms. 122
Data Analytics Platforms.122
Knowledge Discovery and Dissemination. 122
Storage, Backup, and Archival. 122
Cognitive Clouds. 123
The Major Players in the IoT Space. 123
A Few Enthralling IoT Use Cases.124
IoT Application Enablement Platforms.125
Characterizing IoT or Machine-to-Machine Application Platforms.125
IoT AEPs—The Architectural Building-Blocks.128
IoT and M2M Sensor Data Platform by AerCloud.129
ThingWorx IoTAEP.130
ORBCOMM IoT Platform.131
Azure IoT Hub.132
Amazon Web Service IoT Platform.132
The Axeda IoT Platform.133
The IoT Data Analytics Platforms. 134
IBM Watson IoT Platform.135
ParStream IoT Analytics Platform. 136
Vitria IoT Analytics Platform. 137
Pentaho IoT Analytics Platform. 137
Splunk Software for IoT Data. 138
Guavus IoT Analytics Platform. 139
Virdata IoT Analytics Platform. 140
The IoT Data Virtualization Platforms. 141
The Key Capabilities Data Virtualization Delivers.142
IoT Data Visualization Platform.142
Car Counter. 144
The IoT Edge Data Analytics. 144
Key Features and Highlights for Developers. 145
Conclusion.146
The IoT Analytics Platforms—The Links.146
x ■ Contents
6 The Next-Generation Clouds for IoT Applications and Analytics.149
Introduction.150
Reflecting the Cloud Journey. 151
About Technology Choice. 151
Software-Defined Clouds for IoT.151
The Enigma of Commoditization. 152
About the Cloud Technology.153
The Cloud Service Ecosystem.154
The Key Motivations for Cloud-Enabled Environments.*.155
A Look at Cloud-Inspired Enterprise Transformations. 156
The Emergence of Cloud Environments.156
Energy Optimization.157
IoT and Cloud-Inspired Smarter Environments.158
Smarter Environments.158
Smarter Homes.159
Smarter Grids.161
IoT and Cloud for Smarter Cities. 161
Sensor-Cloud Integration for Smarter Cities.162
Social and Sensor Data Fusion in Cloud.162
Smarter Health Care.163
Cloud-Inspired Smarter Health Care Services. 164
The Era of Hybrid Clouds.165
Envisioning Federated Clouds.165
Cloud Federation Approaches.166
Special-Purpose Clouds. 167
Device Clouds. 168
The Emergence of Edge/Fog Clouds. 170
The Compelling Use Cases for Next-Gen Edge Clouds. 171
Use Cases—The Computation and Actionable Insights.171
The Storage Use Cases.172
Data Dissemination.173
Mobile-Edge Computing (MEC).173
Edge Analytics-Enabled Smarter Traffic Systems.174
The Architectural Components of the Smarter Traffic System.174
Tending toward Software-Defined Clouds. 175
The Building Blocks of Software-Defined Clouds. 177
Software-Defined Networking (SDN). 177
The Key Motivations for SDN.178
The Need of SDN for the Cloud.179
Software-Defined Storage (SDS).*.180
Cloud-Based Big Data Storage.181
The Key Characteristics of Software-Defined Storage.182
The Onset of Cognitive Clouds. 182
Conclusion. 183
References.*. 183
Contents ■ xi
7 Describing the Emerging Field of IoT Data Analytics.185
Introduction. 186
The Principal Steps toward Knowledge Discovery and Dissemination. 187
The Rewarding Repercussions of the Data Explosion. 188
Describing Big Data Analytics. 188
The Strategic Importance of Big Data Analytics. 189
Big Data Analytics: The Prominent Use Cases. 191
Customer Satisfaction Analysis. 191
Market Sentiment Analysis. 191
Epidemic Analysis.192
Using Big Data Analytics in Health Care.192
Machine Data Analytics by Splunk.193
Real-Time and Streaming Analytics. 196
Expounding the IoT Data Analytics Domain. 199
The Key Drivers for IoT Data Analytics.199
The Key Movements and Motivations of IoT Data.200
The Emergence of Edge Clouds for Real-Time Insights.201
Deep Diving and Digging into Edge Analytics.202
The Renowned Edge Analytics Use Cases.203
Smart Water System.203
Smarter Grid.203
Smarter Homes and Buildings.203
Smarter Retailing. 204
Self-Maintaining Trains.204
Smarter Mines.204
Device Integration.204
Smarter Traffic Systems.204
The Architectural Components of the Smarter Traffic System.205
The Key Capabilities of Next-Generation IoT Data Analytics Platforms.207
The Key Capabilities.208
The Prime Modules of IoT Data Analytics Platforms. 209
The Reference Architecture for IoT Data Analytics Platform.209
The Renowned Use Cases for IoT Data Analytics.211
Connected Cars.211
The Data Analytics Locations. 212
Why Have Cloud-Based IoT Data Analytics?.213
The Distinct Capabilities of IoT Data Analytics Platforms.214
Conclusion.216
Bibliography.216
8 Expounding the Edge/Fog Computing Paradigm.217
Introduction.218
The Introduction of Fog/Edge Computing.219
Fog versus Edge Computing.220
Illustrating the Game-Changing IoT Journey.221
It Is All About the Extreme and Deeper Connectivity.221
xii ■ Contents
The Humongous Volumes of IoT Data.223
Major IoT Data Types.224
Measurement Data.224
Event Data.224
Interaction and Transaction Data.224
Diagnostics Data.224
Describing the Fog Computing-Like Concepts.225
Local/Proximate Clouds.225
Cloudlet Facilities.225
Why Cloudlet-Like Arrangement Is Mandated?.226
Mobile Edge Computing (MEC).226
Mobile Cloud Computing (MCC).227
The Use Cases of Fog/Edge Computing.227
Smart Homes.228
Smart Grids.228
Wireless Sensor and Actuator Networks.228
Smart Vehicles.229
Smarter Security.229
Smart Buildings.229
IoT and Cyber-Physical Systems.230
Software-Defined Networking.230
Why Is Fog Computing Crucial for the Envisaged IoT Success?.230
Weeding Out Irrelevant Data at the Source. 231
Real-Time IoT Data Analytics.231
Instantaneous Response.231
Resource-Constrained Sensors Behind Fog Devices.231
IoT Data Security.231
The Formation of Edge Clouds.232
Building Composite Applications.232
Policy-Based Fog Devices.232
Delving into Fog/Edge Analytics.233
The Greatness of Edge Data.233
Edge Analytics: The Prominent Use Cases.234
IoT Sensor Data Monitoring and Analysis.234
Remote Monitoring and Analysis of Oil and Gas Operations.234
Smarter Cities.235
Smart Retailers.235
Smart Automobiles. 235
Smart Manufacturing.236
Facilities and Asset Management.237
Carving Out Edge Clouds for Edge Analytics.237
Deep Diving and Digging into the Aspect of Edge Analytics.238
Introducing Integrated Fog Computing Platforms.239
The OSGi Standard for Building Device Management Frameworks.240
The Eclipse Kura—An IoT Device Management and Analytics Platform.241
Everyware Software Framework.242
Apache Quarks.243
Contents ■ xiii
Predixion Software.243
The Solair Smart Gateway.244
The Solair Platform—IoT Devices: The Integration Options.245
Direct Collection.245
Mobile Bridge.245
Smart Gateway.245
Altiux Innovations. 246
ParStream Edge Analytics Appliance.246
Dell Edge Gateway 5000 Series.246
Conclusion.247
Bibliography.247
Envisioning Futuristic Smart Airports Using IoT Integration.249
Introduction.250
Airport Infrastructure. 251
Airport 1.0.252
Airport 2.0.253
Personal Technology/Processes for Passengers.253
Mobile Applications for Air Travel Passengers.253
Technology/Processes to Streamline Passenger Journey.254
Interactive Displays and Bill Boards in Airports.254
Technology/Processes to Enhance Passenger Experience.254
Interactive Surfaces.254
Processes for Increased Leisure Experience.255
Finnish Sauna at Helsinki Airport. 255
Free Sightseeing Tour at Changi Airport, Singapore.255
Free Cooking Classes at Paris Orly Airport.256
Traditional Culture Workshops at Incheon International Airport, South Korea.256
Airport 3.0.256
Mobile Devices in Airports.257
Social Media Applications in Airports.259
Source: Amadeus Survey.260
Mobile Applications for Airports.261
Mobile Technologies. 262
Quick Response Codes in Airports for Mobile Check-In.262
Near Field Communication.263
Telepresence.264
Wireless Broadband. 264
RFID/Sensors.264
Biometric Passports.264
Other Biometric Applications in Airports.265
RFID-Based Tracking of Baggage in Airports.265
Beacons for Airports.266
Applications of Beacons for Airports.267
Tracking Passenger Location. 267
Triggering Mobile Boarding Passes.267
Navigating the Airport.267
xiv ■ Contents
Promotions at Retail Outlets in Airports.267
Baggage Reclaim.267
Wearable Technology.268
Benefits of Wearable Devices.269
Use Cases of Wearables for Airports.269
Passenger Baggage Tracking.270
Operational Efficiencies of Airports.270
Other Supporting Technologies for Smart Airports.270
Cloud Computing.270
Big Data and Predictive Analytics.271
Conclusion.271
References.272
1 0 Envisioning Smart Health Care Systems in a Connected World.273
Introduction.274
Clinical Care.275
Remote Monitoring.275
Other Interesting Use Cases of IoT.276
Enabling Technologies which Make IoT in Health Care Possible.279
Challenges in the IoT Health Care Sector.279
Future Trends for IoT in Health Care. 280
Ingestible Sensor.280
Digital Medicine. .281
Mobile Apps in Health Care Sector.282
Cloud and Big Data Analytics in the Health Care Sector.282
Cloud Services in Health Care Sector.283
Electronic Storage of Medical Records.283
Office Productivity Solutions.284
Health Information Exchange.284
Collaboration Solution for Physicians.285
Clinical Information System. 285
Big Data Analytics in the Health Care Sector.285
Support Research in Genomics and Other Health Care Projects.286
Transform Data from Information.288
Use of Explanatory Analytics by Predixion Software.288
Use of Big Data by Health Fidelity.288
Supporting Self Care.289
Supporting Self Care with Ginger.io.289
Support for Providers.289
Increase Awareness. 291
Sproxil Uses Big Data to Identify Counterfeit Drugs.291
Sickweather LLC Uses Social Media to Track Disease Outbreaks.291
Pool Data to Build a Better Ecosystem.291
Conclusion.292
References.292
Contents ■ xv
11 Smart Use Cases of IoT.293
Introduction.294
Governance Use Cases.294
Ubiquitous Connectivity.295
Omnipresent Devices. 296
Collaboration Platforms. 296
Cloud Computing.296
Open Standards and Service-Oriented Architecture (SOA).296
Geospatial Platforms.297
Neogeography in Smart Cities.297
Internet of Things (IoT).297
Advanced Analytics.298
Open Access to Public Data.298
Digitally Controlled Devices.299
Social Media Networking.299
Strategic Governance Framework for the Implementation of Smart Cities.299
City Objectives.300
City Indicators.300
City Components.300
City Content.301
Smart Industrial Use Cases of IoT. 301
Smart Lighting for Energy Conservation.304
Smart Lighting Approaches.304
Wireless Lighting Control Systems.306
Smart Transportation Systems.308
Electric Vehicles (EVs).309
Smarter Vehicles.309
The Technological Implications on Vehicles.310
Insights-Driven Connected Vehicles.310
Vehicle-to-Vehicle Connectivity. 311
Vehicle-to-Cloud Connectivity.311
Vehicle Connectivity Platforms, Tools, and Applications.312
Use Cases of Technology-Inspired Vehicles.313
An Assortment of Vehicle-Centric Applications.313
Knowledge Services.313
Big Data Analytics for Smarter Transports.314
The Approaches for Smarter Transportation.315
Predict Demand and Optimizing Capacity, Assets, and Infrastructure.315
Improve the End-to-End Experience for Travelers.316
Increase Operational Efficiency While Reducing Environmental Impact.316
Ensure Safety and Security.316
Intelligent Transport Systems (ITS). 317
Connected Cars. .» 317
Consumer Use Cases of IoT. 318
xvi ■ Contents
Smart Homes/Buildings.319
The Key Drivers for Smarter Homes and Buildings.319
The Prominent Use Cases of Smarter Homes and Buildings.319
Smarter Homes and Building Elements.320
Smarter Home/Buildings Capabilities.322
Role of Building Automation Systems in Smarter Homes and Buildings.323
Smarter Homes—Middleware Platforms.324
Smarter Home Frameworks.326
Smart Education Systems Using Wearable Devices.327
Conclusion.328
Reference.328
1 2 Security Management of an IoT Ecosystem.329
Introduction.329
Security Requirements of an IoT Infrastructure.330
Confidentiality, Integrity, and Availability Triad.330
Confidentiality.330
Integrity. 331
Availability.331
Authentication, Authorization, and Audit Trial (AAA) Framework.331
Authentication.331
Authorization.332
Audit Trial.332
Defense-in-Depth.332
Trusted Computing Base (TCB).332
Encryption.333
Security Concerns of Cloud Platforms.333
Virtual Machine Segmentation.334
Database Segmentation.335
VM Introspection.335
Distributed Denial of Service (DDoS).335
Imperva SecureSphere Web Application Firewall to Prevent DDoS Attacks.336
Virtual Machine/Hypervisor-Based Security Threats.337
Unauthorized Alteration of Virtual Machine Image Files.337
VM Theft.338
Inter-VM Attacks.338
Instant-On Gaps.339
Hyperjacking.339
Security Threats of Big Data.340
Distributed Programming Frameworks. 341
Use of NoSQL Databases.341
Storage Tiering. 341
Data Source Validation.341
Privacy Concerns.342
Requirements of Security Management Framework for Big Data.342
Agile Scale-Out Infrastructure.343
Security Analytics.343
Contents ■ xvii
Threat Monitoring and Intelligence.344
Security Threats in Smartphones.344
Security Solutions for Mobile Devices.343
Security Concerns in IoT Components.346
Security Measures for IoT Platforms/Devices.347
Secure Booting.347
Mandatory Access Control Mechanisms.347
Device Authentication for Networks.347
Device-Specific Firewalls.347
Controlled Mechanism to Ensure Application of Security Patches and Upgrades.347
Security Threats in Different Use Cases of IoT.348
Security Threats in Smart Transportation Systems.348
Security Threats in Smart Grids and Other IoT-Based Infrastructure Components.349
Conclusion.350
Bibliography.350
Index. 351 |
| any_adam_object | 1 |
| author | Chelliah, Pethuru Raj ca. 20./21. Jahrhundert Raman, Anupama C. |
| author_GND | (DE-588)1088794912 (DE-588)1129289761 |
| author_facet | Chelliah, Pethuru Raj ca. 20./21. Jahrhundert Raman, Anupama C. |
| author_role | aut aut |
| author_sort | Chelliah, Pethuru Raj ca. 20./21. Jahrhundert |
| author_variant | p r c pr prc a c r ac acr |
| building | Verbundindex |
| bvnumber | BV044229327 |
| classification_rvk | ST 205 ST 200 ST 252 |
| ctrlnum | (OCoLC)982184179 (DE-599)BVBBV044229327 |
| discipline | Informatik |
| format | Book |
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| id | DE-604.BV044229327 |
| illustrated | Illustrated |
| indexdate | 2024-12-12T13:03:11Z |
| institution | BVB |
| isbn | 9781498761284 9781032339719 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-029635023 |
| oclc_num | 982184179 |
| open_access_boolean | |
| owner | DE-473 DE-BY-UBG DE-739 DE-898 DE-BY-UBR DE-11 |
| owner_facet | DE-473 DE-BY-UBG DE-739 DE-898 DE-BY-UBR DE-11 |
| physical | XXVII, 364 Seiten Illustrationen |
| publishDate | 2017 |
| publishDateSearch | 2017 |
| publishDateSort | 2017 |
| publisher | CRC Press |
| record_format | marc |
| spelling | Chelliah, Pethuru Raj ca. 20./21. Jahrhundert Verfasser (DE-588)1088794912 aut The Internet of things enabling technologies, platforms, and use cases Pethuru Raj, Anupama C. Raman Boca Raton CRC Press [2017] © 2017 XXVII, 364 Seiten Illustrationen txt rdacontent n rdamedia nc rdacarrier Hier auch später erschienene, unveränderte Nachdrucke Internet der Dinge (DE-588)7713781-4 gnd rswk-swf Internet der Dinge (DE-588)7713781-4 s DE-604 Raman, Anupama C. Verfasser (DE-588)1129289761 aut Erscheint auch als Online-Ausgabe 978-1-4987-6129-1 (DE-604)BV044612501 Digitalisierung UB Bamberg - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=029635023&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Chelliah, Pethuru Raj ca. 20./21. Jahrhundert Raman, Anupama C. The Internet of things enabling technologies, platforms, and use cases Internet der Dinge (DE-588)7713781-4 gnd |
| subject_GND | (DE-588)7713781-4 |
| title | The Internet of things enabling technologies, platforms, and use cases |
| title_auth | The Internet of things enabling technologies, platforms, and use cases |
| title_exact_search | The Internet of things enabling technologies, platforms, and use cases |
| title_full | The Internet of things enabling technologies, platforms, and use cases Pethuru Raj, Anupama C. Raman |
| title_fullStr | The Internet of things enabling technologies, platforms, and use cases Pethuru Raj, Anupama C. Raman |
| title_full_unstemmed | The Internet of things enabling technologies, platforms, and use cases Pethuru Raj, Anupama C. Raman |
| title_short | The Internet of things |
| title_sort | the internet of things enabling technologies platforms and use cases |
| title_sub | enabling technologies, platforms, and use cases |
| topic | Internet der Dinge (DE-588)7713781-4 gnd |
| topic_facet | Internet der Dinge |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=029635023&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
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