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Research this topic
Explore the main themes, entities and connections around Internet of things. Start with the topic map, then use the sections below for research and deeper semantic analysis.
Explore this topic
Start with a few of the strongest sections from the source topic. These are research directions, not a list of keywords you must use.
History
22 related topics
Trends and characteristics
35 related topics
Enabling technologies
46 related topics
Criticism, problems and controversies
60 related topics
Key facts & relationships
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Topics to explore
A structured outline of related entities, concepts and subtopics. Open any item to build a new map centered on it.Browse the full topic structure. Each item opens a new analysis centered on that subject.
Overview
- Sensors Sensor
- Software
- Technologies
- Internet
- Electronics Electronic engineering
- Communication Telecommunications engineering
- Computer science
- Misnomer
- Ubiquitous computing
- Embedded systems Embedded system
- Machine learning
- Wireless sensor networks Wireless sensor network
- Smart home
- Appliances Home appliance
- Thermostats
- Smart speakers Smart speaker
- Asset tracking Telematics
- Fleet management
- Smart metering
- Privacy Digital privacy
- Security Digital security
- Home automation
- Apple Apple Inc.
- HomeKit
- IOS
- IPhone
- Apple Watch
- Siri
- Amazon Echo
- Google Home Google Home (smart speakers)
Background
- Stanford Artificial Intelligence Laboratory
- Canteen Vending
- Teletype Model 33 KSR Teletype Model 33
- J. R. R. Tolkien
- The Lord of the Rings
- Stanford Stanford University
History
- Smart device
- Carnegie Mellon University
- Coca-Cola
- Vending machine
- ARPANET
- Mark Weiser
- IEEE Spectrum
- At Work
- Novell
- NEST Novell Embedded Systems Technology
- Bill Joy
- Device-to-device
- World Economic Forum
- Congressional Black Caucus Foundation
- Washington, D.C.
- Technology
- Kevin Ashton
- Procter & Gamble
- Massachusetts Institute of Technology
- Auto-ID Center
- Computers Computer
- Cisco Systems
Applications
Trends and characteristics
- Ambient intelligence
- Intel
- Deep reinforcement learning Reinforcement learning
- Supervised learning
- HVAC
- Fog computing
- Obstacle detection
- Deep learning
- Support vector machine
- Random forest
- Convolutional neural networks
- LSTM
- Variational autoencoder Autoencoder
- Web services Web service
- SOA Service-oriented architecture
- Context-aware
- Cyber-physical systems Cyber-physical system
- Edge Edge computing
- Gateway Gateway (telecommunications)
- Modbus
- Bluetooth
- Zigbee
- OAuth
- Database
- Complex system
- Chaotic Chaos theory
- Systems System
- Domestic robotics Domestic robot
- Local network
- Software-defined networking
Enabling technologies
- Electronic Product Code
- URI
- Semantic Web
- IP address
- Limited address space IPv4 address exhaustion
- IPv4
- ADRC Xped
- Bluetooth mesh networking
- Bluetooth Low Energy
- Li-Fi
- Light
- Visible-light communication Visible light communication
- Near-field communication
- Wi-Fi
- Local area networking Local area network
- IEEE 802.11
- Personal area networking Personal area network
- Z-Wave
- Wireless
- LTE-Advanced
- LTE LTE (telecommunication)
- 5G
- LoRa
- DASH7
- Low-power wide-area networking LPWAN
- LoRaWan
- NB-IoT
- MIoTy
- IEEE 802.11ah
- Very-small-aperture terminal
Politics and civic engagement
Government regulation
- Federal Trade Commission
- Data security
- Data minimisation
- FTC Act
- Fair Credit Reporting Act
- Children's Online Privacy Protection Act
- Federal Communications Commission
- National Highway Traffic Safety Administration
- Data valuation
- Product Security and Telecommunications Infrastructure bill 2021 State Opening of Parliament
- Cybersecurity standards
Criticism, problems and controversies
- Platform fragmentation
- Wi-Fi HaLow
- Cat M1 Cat-M1
- Amorphous computing
- Information access
- Big data
- Data mining
- Cybersecurity
- Adam Greenfield
- Digital surveillance Surveillance
- Panopticon
- Jeremy Bentham
- Michel Foucault
- Gilles Deleuze
- Discipline and Punish: The Birth of the Prison Discipline and Punish
- Industrial Era
- Panopticism
- Peter-Paul Verbeek
- University of Twente
- Center for Democracy and Technology
- Consumer privacy
- Tim O'Reilly
- WIRED
- American Civil Liberties Union
- Smart technology Smart Technologies
- British Government
- Privacy by Design
- Power meters Electricity Meter
- British Computer Society
- Dutch Parliament
Adoption barriers
- Forbes
- Early adopters
- Hops in a network Hop (networking)
- Privacy violation
- Distributed denial of service
- Domain name system
- GitHub
- Botnet
- Gateways Residential gateway
- Confidentiality
- Integrity
- Corruption Data corruption
- Non-repudiation
- Denial-of-service
- Kaspersky
- Connectivity Standards Alliance
- Governance
- Organizational culture
- Organizational design
- Innovation management
- Digital transformation
- Harvard Business Review
Bibliography
- ISBN ISBN (identifier)
Advanced semantic analysis
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
Map overview Semantic statistics
Number of nodes, edges, triples, density and central hubs. Use it to gauge the size and connectivity of the map.Internet of things
Nodes340
Edges339
Triples244
Avg. degree1.99
Density0.005882
Components1
How this topic connects Entity context
Quick relationship hints grouped by predicate. Useful for spotting recurring semantic connections around the current entity.See the strongest relationship patterns around the current topic before diving into the raw triples.
Internet of things
Top relations
related to Bibliography · 33
Internet of things → Acharjya, Alena, Charlier, Consumer Internet, David, Designing Connected Products, Envisioned Applications, Geetha, Goodman, HarperCollins Leadership, Industrial Internet Application Development, Internet, ISBN, Jayant, Li, Native Cloud Services, Novel Advances, O'Reilly Media, Packt Publishing, Public Cloud
related to Confusing terminology · 25
Internet of things → According, AmI, As, CPS, Industrial Internet Consortium, Industrial Internet Consortium's Vocabulary, Information Age, Internet, IoE, IoT, IoT One, IoT Terms Database, IoT-related, IT, Kevin Lonergan, Lonergan, M2M, March, New Term Alert, Operational
related to Addressability · 19
Internet of things → An, Auto-ID Center, Due, Electronic Product Code, IETF, Integration, Internet, Internet-of-things, IoT, IP, IPv4, IPv6, RFID, RFID-enabled, Semantic Web, The, This, To, URI
related to Intelligence · 17
Internet of things → Ambient, An, Edge/Fog, For, However, HVAC, Instead, Integrating, Intel, Internet, IoT, LSTM, Moreover, The, This, Through, Training
related to Space considerations · 11
Internet of things → Digital Earth, However, In, Internet, Just, Note, On, The GeoWeb, Therefore, Thus, Web
related to Design · 10
Internet of things → Application, Brown University, Given, If, Internet, Internet-of-things, IoT, Michael Littman, These, This
related to Security · 10
Internet of things → Due, However, Internet, IoT, Most, Security, SQL, The, These, Things
related to Traditional governance structure · 10
Internet of things → Among, Danish, Ericsson, Harvard Business Review, Internet, IoT, Kodak, Scott Anthony, Some, This
related to Complexity · 9
Internet of things → As, At, For, In, Internet, IoT, Managing, SDN, Subsystems
related to Product digitalization · 9
Internet of things → Authentication, Internet, NFC, Packaging, QR, Strictly, The, There, URL
Important terminology Word statistics
Frequent words and multi-word phrases across the lead, headings, infobox and body. Useful for terminology coverage.Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
Important terminology
iot devices data internet systems things technology security smart also applications control connected network used sensors management communication privacy application
Entity relationships Subject–Predicate–Object triples
Extracted RDF-like relationships with confidence and source. The table includes structured facts and lower-confidence contextual relations.| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| UbiComp | instance of | as well as academic venues | 0.80 | text |
| PerCom | instance of | as well as academic venues | 0.80 | text |
| produced the contemporary vision of the IoT | instance of | as well as academic venues | 0.80 | text |
| the iPhone | instance of | manufacturers can have their home products and accessories controlled by an application in iOS devices | 0.80 | text |
| the Apple Watch | instance of | manufacturers can have their home products and accessories controlled by an application in iOS devices | 0.80 | text |
| Siri | instance of | This could be a dedicated app or iOS native applications | 0.80 | text |
| falls or seizures | instance of | including sensors that monitor for medical emergencies | 0.80 | text |
| biosensors | instance of | This includes sensor-based solutions | 0.80 | text |
| wearables | instance of | This includes sensor-based solutions | 0.80 | text |
| connected health devices | instance of | This includes sensor-based solutions | 0.80 | text |
| and mobile apps to track customer behavior | instance of | This includes sensor-based solutions | 0.80 | text |
| LTE-M to transmit location data to owners via smartphone applications when unauthorized movement is detected.V2X communicationsIn vehicular communication systems | instance of | using low-power wide-area network protocols | 0.80 | text |
No triples extracted yet.
Related concept clusters Concept neighborhoods
Clusters of nearby vocabulary surrounding the topic. Scan them for adjacent concepts and language you may have missed.These clusters group vocabulary that occurs around closely connected concepts in the source material.
Connections between topic areas Semantic bridges
Bridge nodes connect otherwise separate parts of the map. Expand a row to inspect the topic groups on each side.Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.
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