Note
0.0
(0)
Rate it
Take a practice test
Chat with Kai
undefined Flashcards
0 Cards
0.0
(0)
Explore Top Notes
Chapter 5: Light and Matter
Note
Studied by 31 people
5.0
(1)
Untitled
Note
Studied by 2 people
5.0
(2)
Chapter 2: Science, Matter, Energy, and Systems
Note
Studied by 41 people
5.0
(1)
Group 18 elements
Note
Studied by 11 people
4.8
(4)
Chapter 4 - Personality & values
Note
Studied by 163 people
5.0
(2)
AICE US Unit 1 - Origins of Civil War Overview
Note
Studied by 130 people
5.0
(1)
Home
Internet of Things – Concepts and Applications (Lecture Ch. 2)
Internet of Things – Concepts and Applications (Lecture Ch. 2)
What Is IoT
A "thing" can be any natural or man-made object that:
Can be assigned an IP address
Can transfer data over a network with minimal human involvement
Typical examples
Person with a heart-monitor implant
Farm animal with a bio-chip transponder
Car whose tire-pressure sensors alert the driver
Core idea: network of interconnected computing devices embedded in everyday objects → continuous bidirectional data flow
Enablers: low-cost computing, cloud storage, big-data analytics, mobile tech
Impact: one of the most transformative technologies of the 21^{st} century
Origin & History
1998 – Kevin Ashton (MIT Auto-ID Center) articulates the IoT vision: every “thing” has a unique identity and can talk to other things
Milestones
1982 – Internet-connected Coke vending machine (Carnegie Mellon)
1990 – First internet toaster (John Romkey)
1999 – Term “Internet of Things” coined
2000 – First smart fridge (LG)
2004 – Early smart-watch prototypes
2007 – Apple iPhone (mobile IoT catalyst)
2009 – Automakers begin connected-car testing
2011 – Smart TV popularity surge
2013 – Google Glass released
2014 – Amazon Echo with Alexa
2015 – Tesla Autopilot
IoT Ecosystem (High-Level)
Definition: System of smart devices, sensors, networks & software working together to collect, transmit & process data
Data path
Sensors gather environmental data
Communication network moves data to edge or cloud
Processing/analytics extract insight
Applications & UIs enable human interaction/actuation
Supported domains: smart cities, healthcare, agriculture, transportation, etc.
Seven Key Elements of an IoT Ecosystem
IoT Devices
Sensors → convert physical stimuli (temperature, motion, flow) to digital data
Actuators → perform physical actions based on commands
Example: motion sensor + actuator turns on hallway lights
Network / Connectivity
Technologies: Wi-Fi, Bluetooth, Zigbee, Cellular 4\mathrm{G}/5\mathrm{G}, LPWAN
Example sequence (fitness bracelet): heart-rate → Bluetooth → smartphone → internet/cloud
Security
Functions: encryption, authentication, secure firmware updates, malware scanning
Risk: weak passwords ⇒ botnets (“zombie armies”) that launch DDoS attacks
Gateway
Forwards data between local devices & cloud; can filter/translate protocols
Router-like but scales to thousands of devices; not mandatory if devices are internet-capable
Cloud
Virtually infinite storage + big-data, ML, visualization
Example: 10{,}000 crop sensors would overwhelm a home PC; cloud (e.g., Google Cloud IoT Core) handles TBs/day
Applications
Graphical interfaces for monitoring & control
Example: remotely verify & lock your front door via smartphone app
Users
All actors interacting with IoT data/devices: consumers, researchers, operators, stakeholders
If you wear a smartwatch, you’re an IoT user
Technology & Business Drivers
Low-cost, low-power sensors broaden manufacturer adoption
Rich connectivity protocols simplify cloud linkage
Cloud platforms offer elastic infrastructure without self-management
Machine learning & analytics derive rapid insights from cloud-stored big data
Conversational AI (NLP) turns devices into voice-driven assistants (Alexa, Cortana, Siri)
Representative IoT Applications
Smart cities: parking sensors, waste management, smart lighting
Smart buildings: energy management, security
Utilities: smart metering, smart-grid optimization
Transport & logistics: fleet management, goods tracking
Industrial: process & maintenance monitoring
Environmental: climate, pollution, agriculture monitoring
Consumer: home automation, wearables, child/senior trackers
IoT Trends
Enhanced security (advanced encryption, blockchain)
Edge & fog computing → low-latency/offline analytics
AIoT: embedded AI for pattern learning & anomaly detection
Industrial IoT (IIoT): digital twins, robotics, downtime reduction
5\mathrm{G}: ultra-fast, high-density device support
Green IoT: low-power chips, smart grids, eco monitoring
Context-aware adaptive systems
Retail & finance: smart inventory, automated checkout, wearable payments
Further trends
Healthcare IoT (IoMT): remote diagnostics, connected devices
Interoperability standards: Matter, MQTT, LoRaWAN
Blockchain integration for tamper-proof data exchange
Voice-activated, human-centric UIs
AR overlays for maintenance & visualization
Device miniaturization enabling ubiquitous embedding
IoT Challenges
Data overload → need robust analytics & storage strategies
Security vulnerabilities escalate with device count → proactive cybersecurity essential
Implementation costs can be high, though low-cost/free tools exist
Compatibility issues among heterogeneous devices → standardization & training required
Domain-Specific IoTs
Smart Homes
Home automation: remote control of lighting, HVAC, security, appliances
Health/wellness monitoring & independent living support
Smart Cities
Transportation: traffic management, smart parking, public transit optimization
Utilities: smart grids for electricity, water, gas
Public safety: air-quality sensors, emergency response, surveillance
Environmental Monitoring
Air & water quality sensors for pollution detection
Climate stations provide weather data & disaster-preparedness insights
Industrial IoT (IIoT)
Manufacturing: equipment monitoring, predictive maintenance, process optimization
Logistics & supply chain: real-time inventory & fleet tracking
Oil & gas: pipeline integrity, environmental safety
Healthcare
Remote patient monitoring (vital-sign wearables)
Asset tracking of equipment & medications
Telemedicine platforms for virtual care
Agriculture (AgriTech)
Precision farming: soil moisture, temperature, crop-health sensing
Livestock monitoring: behavior, health, geolocation
Traceable supply chain from farm to table
Retail & Hospitality
Automated inventory management & supply-chain visibility
Personalized shopping via location-based services & smart payments
Smart hotel rooms with occupancy-based energy control
Logistics
Asset & cargo tracking (condition, location, status)
Fleet telematics: fuel use, driver behavior, route optimization
Warehouse sensors: inventory levels, temperature, humidity
Cold-chain compliance for perishables/pharma
Last-mile delivery route optimization
Predictive maintenance for vehicles/infrastructure
Security: geo-fencing, surveillance against theft
Energy
Smart meters provide real-time consumption data for demand-side management
Grid monitoring sensors detect faults & enable predictive maintenance
Renewable integration: sensor-driven optimization at solar & wind farms
Lifestyle & Wearables
Fitness trackers, smart clothes, smart rings, VR/AR glasses, smart shoes, connected medical devices
Remote health monitoring of chronic conditions
Entertainment & Media
Smart TVs, speakers, home theaters adjust settings & personalize content
Gaming enhanced via connected consoles, VR, interactive IoT peripherals
Ethical, Philosophical & Practical Implications
Privacy vs. convenience: continuous data collection raises surveillance concerns
Security ethics: manufacturers bear responsibility for secure default configurations
Environmental impact: emphasis on sustainable, low-power designs to reduce e-waste and energy usage
Digital divide: equitable access to IoT benefits across socio-economic groups
Workforce evolution: automation may displace some jobs while creating new data-centric roles
Key Takeaways
IoT interlinks billions of devices, converting the physical world into a data-rich digital ecosystem
Success depends on integrated hardware, connectivity, cloud, analytics, security & user-centric design
Emerging trends (AIoT, edge, 5\mathrm{G}, blockchain) will further amplify capabilities and challenges
Domain-specific implementations demonstrate IoT’s versatility—from smart homes to industrial megaprojects
Note
0.0
(0)
Rate it
Take a practice test
Chat with Kai
undefined Flashcards
0 Cards
0.0
(0)
Explore Top Notes
Chapter 5: Light and Matter
Note
Studied by 31 people
5.0
(1)
Untitled
Note
Studied by 2 people
5.0
(2)
Chapter 2: Science, Matter, Energy, and Systems
Note
Studied by 41 people
5.0
(1)
Group 18 elements
Note
Studied by 11 people
4.8
(4)
Chapter 4 - Personality & values
Note
Studied by 163 people
5.0
(2)
AICE US Unit 1 - Origins of Civil War Overview
Note
Studied by 130 people
5.0
(1)