IOT 2

IoT Systems

Interconnected physical devices with sensors, actuators, software, and network connectivity for data exchange over the internet.

M2M Classification

M2M is classified as an IoT System.

Prospects in IoT Ecosystem

Wide spot implementation enhances data collection, decision-making, and empowers users with insights, control, and benefits in convenience, sustainability, and productivity.

Sustainable Development Goals (SDGs)

Relevance to SDGs: Industry, Innovation and Infrastructure (SDG9), Sustainable Cities and Communities (SDG11), Good Health and Well-being (SDG3), Responsible Consumption and Production (SDG12).

IoT System Layers

Perception Layer, Network and Communication Layer, Application and Service Layer.

IoT System Architecture

Layered approach with Application, Business, Cloud/Edge, Perception, Communication, Middleware, Security, and Management layers. and Blueprint for Building: Provides structure, modularity, scalability, ease of development, management, and maintenance.

Example of IoT with Device Layer, Network Layer, and Application Layer.

Smart Home Automation

Perception Layer Functions:

• Data Collection: Collects data from the physical world.

• Interface: Acts as the interface between the physical world and the digital realm.

• Processing and Forwarding: Processes data, reduces noise, and forwards to higher layers.

Network Layer Functions:

Widespread implementation enhances data collection, decision-making, and empowers users with insights, control, and benefits in convenience, sustainability, and productivity.

Application Layer Functions:

Brains of the System: Processes data, makes decisions, provides user interfaces, integrates with other systems, ensures security, leverages cloud services, allows remote management, generates reports, and visualizations.

Edge vs. Cloud Processing:

• Edge Processing: Local computations on IoT devices or gateways.

• Cloud Processing: Sending data to the cloud for remote analysis and storage.

Scalability in IoT Systems:

• Ensuring Scalability: Use of scalable cloud platforms, load balancing, horizontal scaling.

• Challenges: Network congestion, data management and storage, real-time responsiveness, security and privacy, compatibility and interoperability.

Sensors in IoT Systems:

• Definition: Devices detecting changes and converting them into signals.

• Sensor vs. Actuator: Sensors convert physical quantities, actuators convert electrical signals into physical action.

• Bidirectional Transducers: Examples - Antenna, Voice Coils.

Features of Sensors:

Sensitivity, Transduction, Specificity, Range, Resolution, Accuracy, Response Time, Linearity, Calibration, Hysteresis.

Importance of Hysteresis in Sensor Systems:

Role: Prevents instability, oscillations, provides tolerance, ensures consistent output.

How Dose the Resolution Impact Sensor Accuracy:

Relation: Higher resolution implies precision; accuracy depends on calibration.

Sensor Calibration:

• Process: Adjusting and fine-tuning to ensure accuracy and reliability.

• Reasons: Manufacturing variations, aging, wear and tear, environmental effects, system integration.

Types of Sensors:

• Analog Sensors: Measure continuous physical quantities.

• Digital Sensors: Convert physical quantities into discrete digital values.

• Scalar vs. Vector Sensors: Measure scalar and vector quantities, crucial for data collection and monitoring.

Sensors and Value of IoT System:

Value: Lies in aggregated data; sensors enable gathering and analyzing hidden information.

Sensor Fusion:

• Definition: Process of combining data from multiple sensor types.

• Benefits: Improved reliability, effectiveness, intelligence, and responsiveness in IoT applications.

What is the importance of sersor fusion in Autonomous Vehicles:

Importance: Sensor fusion crucial for enhanced perception, redundancy, improved localization, object fusion, environmental understanding.

Modes of Sensor Fusion:

• Centralized: Fusion at a central location (cloud-based).

• Decentralized: Fusion at sensor

Power Sources in IoT Systems:

• Mains-powered edge nodes: Suitable for constant power sources.

• Reasons for not using mains power: Cost, accessibility, scalability, flexibility, reliability, rapid deployment, or temporary needs.

• Battery-powered edge nodes: Suitable for energy-efficient operation and applications without constant power sources.

• Recharging methods: Replaceable batteries, wired charging, solar panels, wind turbines, and inductive charging.

Benefits of Replaceable Batteries:

• Convenience: Easily replaceable.

• Cost-effectiveness: Saves money compared to buying new devices.

• Flexibility: Choose the type and brand of batteries.

• Extended lifespan: Promotes sustainability by reducing electronic waste.

• Reliability during power outages: Ensures continuous functionality.

• Portability: Easy movement without complicated wiring.

• Sustainability: Reduces electronic waste.

Power Management Strategies:

• Involves: Hardware and software aspects in IoT applications.

• Power budget development: Factors like sensor power, frequency of data collection, wireless radio communication, microprocessor power, energy loss, and actuator power.

• Examples: Sensing frequency, broadcast frequency, energy-efficient algorithms, back-off strategies, sleep-mode, and wake-up strategies.

Connectivity in IoT System Architecture:

• Communication technologies selected: Based on IoT use case requirements.

• Simplified IoT system architecture: Focuses on connectivity.

• Communication Network Sublayers: Network Transport, Access Network, Gateways and Backhaul, and IoT Network Management Sublayers.

Access Network Sublayer:

• Last-mile connectivity: Wireless technologies like 802.11ah, 802.15.4g, and LoRa, or wired access.

• Choice depends on: Range and category names (PAN, HAN, NAN, FAN, LAN, MAN, WAN).

6. IoT Gateway Sublayer:

• Acts as: Bridge between IoT devices and the cloud or central server.

• Facilitates: Communication, data processing, protocol translation, security, aggregation, and local processing.

• Operates with: Protocols like Wi-Fi, Bluetooth, and Zigbee

7. Trade-offs in IoT Access Technology Parameters:

Factors influencing choice: Signal travel distance, environment, data transmission characteristics, deployment cost, and power budget.

Wavelength and Frequency Relationship:

• inverse relationship: Explained by the formula c = λf.

• Longer wavelength: Better coverage and penetration.

• Shorter wavelength: Less coverage, more susceptibility to obstacles.

Space Path Loss (FSPL) Model:

• FSPL model equation: FSPL = 4 * (Dfc)^2.

• Theoretical transmission range: Essential for designing wireless access technology protocols.

Routers and Gateways in IoT Network:

• Routers: Connect devices, determine transmission paths, provide security features.

• Gateways: Intermediaries between IoT devices and the cloud, perform protocol translation, data preprocessing, and reduce latency by processing data locally.