21 IoT Requirements: Definition and Value Flow

21.1 Start With the Decision

An IoT product joins a physical thing, local code, and an internet path. Test all three before using the label.

21.2 Route Overview

This is part 2 of 2. Review IoT Requirements: Classification and Connectivity for the preceding evidence.

21.3 Learning Objectives

• Test what is internet of things (iot) with a concrete scenario and pass criteria.
• Validate iot connectivity tco with a concrete scenario and pass criteria.

21.4 Chapter Roadmap

• What is Internet of Things (IoT)
• Key Concepts
• Definition
• How IoT Works: The Complete Flow
• Examples of IoT Devices
• Knowledge Check: IoT Fundamentals
• Complete IoT Architecture Layers
• Minimum Requirements of IoT
• Device Classification Decision Tree
• IoT Classification Check
• Warehouse Tech Selection Check
• IoT Connectivity TCO
• Continue to Part 2

21.5 What is Internet of Things (IoT)

21.6 Definition

The Internet of Things (IoT) is the concept of connecting everyday physical objects to the internet. These objects can range from household appliances to industrial machinery, enabling them to collect, exchange, and act upon data. IoT bridges the physical and digital worlds, making our environments smarter and more responsive.

Simple Definition: At its core, the Internet of Things refers to the interconnection of physical devices with the internet. This connectivity allows these devices to communicate with each other and with users, often improving functionality and efficiency.

Diverse Interpretations: Various researchers and institutions define IoT in slightly different ways. While these definitions may vary, the central idea remains consistent - IoT is about connectivity and data sharing. Importantly, there is no universally “right” or “wrong” definition.

Use Figure 21.1 to prepare the decision in definition. The diagram names IoT Ecosystem Framework and Five Pillars of IoT Strategy, the two anchors needed to assess iot ecosystem framework adapted from the edinburgh design course.

Within the diagram, IoT Ecosystem Framework opens Figure 21.1; Five Pillars of IoT Strategy provides the counterpoint, and CORE closes the inspection. This reading constrains iot ecosystem framework adapted from the edinburgh design course and supplies the visual evidence for definition.

21.7 How IoT Works: The Complete Flow

Beginner-Level View: Four Simple Steps

Use Figure 21.2 to prepare the decision in how iot works: the complete flow. The diagram names Sense, Connect, Process, Act and STEP 1, the two anchors needed to assess four-step iot value loop: sense, connect, process, and act.

At Sense, Connect, Process, Act in Figure 21.2, compare the diagram with STEP 1; then locate Sense. That labelled check bounds four-step iot value loop: sense, connect, process, and act. For how iot works: the complete flow, retain Sense as evidence for the resulting choice.

Real Example - Smart Thermostat:

1. Sense: Temperature sensor reads 65F (you set target to 72F)
2. Connect: Thermostat sends data to cloud via Wi-Fi
3. Process: Cloud compares 65F vs 72F, decides “too cold”
4. Act: Cloud sends command to turn on heater + alerts your phone

This cycle repeats continuously, keeping your home comfortable automatically!

21.8 Examples of IoT Devices

Inspect Figure 21.3 before this decision: Sample Everyday Objects for IoT must be judged beside Plug. Together Sample Everyday Objects for IoT and Plug bound this claim.

Sample Everyday Objects for IoT begins the diagram in Figure 21.3; locate Sample Everyday Objects for IoT, compare Plug, and verify Smart Power. Sample Everyday Objects for IoT states the starting condition; Plug supplies its counterpart; Smart Power limits the conclusion; retain its labelled boundary.

Inspect Figure 21.4 before this decision: Redesigning Everyday Objects for IoT must be judged beside Before and after: adding sensing, connectivity, and. Together Redesigning Everyday Objects for IoT and Before and after: adding sensing, connectivity, and bound this claim.

Redesigning Everyday Objects for IoT begins the diagram in Figure 21.4; locate Redesigning Everyday Objects for IoT, compare Before and after: adding sensing, connectivity, and, and verify BEFORE: REGULAR THERMOSTAT. Redesigning Everyday Objects for IoT states the starting condition; Before and after: adding sensing, connectivity, and supplies its counterpart; BEFORE: REGULAR THERMOSTAT limits the conclusion; retain its labelled boundary.

Together, these examples show the same pattern repeating across domains: start with a physical object, add sensing and computation, then give it a reliable path into a larger digital workflow.

• Plug: A smart plug can be controlled remotely to turn devices on and off.
• Microwave: A connected microwave can be programmed via a smartphone.
• Washing machine: A smart washing machine monitors energy use and sends notifications when cycles are complete.
• Coffee machine: A coffee machine can be scheduled to brew automatically at specific times.
• Truck: A connected truck uses sensors to track location, fuel efficiency, and maintenance needs.
• Recycling bin: A smart bin monitors waste levels so collection routes can be optimized.

IoT has become a foundational technology in various fields, transforming how we live and work by making systems more intelligent and interconnected.

21.9 Knowledge Check: IoT Fundamentals

Question 1: A traditional coffee maker with a timer that you program by pressing buttons on the device itself is:

a) An IoT device because it has computation (timer chip) b) A connected device because it can be scheduled c) An embedded device because it lacks internet connectivity d) A smart device because it makes coffee automatically

Reveal Answer Answer: c) An embedded device because it lacks internet connectivity

Explanation: The coffee maker has a physical thing (the machine) and computation (timer chip), but it lacks internet connectivity. Without all three ingredients, it cannot be classified as IoT. It’s an embedded device - a device with built-in computing that operates independently without network connection.

Key Distinction:

• Embedded: Physical thing with local computation, but no meaningful network path
• Connected: Physical thing with computation and local-only communication
• IoT: Physical thing with computation and internet reach, directly or through a gateway

Question 2: In the IoT data flow cycle (Sense -> Connect -> Process -> Act), which step is responsible for making intelligent decisions?

a) Sense - the sensors analyze the data b) Connect - the network routes decisions c) Process - the cloud/edge analyzes data and determines actions d) Act - the actuators decide what to do

Reveal Answer Answer: c) Process - the cloud/edge analyzes data and determines actions

Explanation: In the four-step IoT cycle:

• Sense: Collects raw data (no decision-making)
• Connect: Transmits data (no decision-making)
• Process: Analyzes data, applies business logic, makes decisions
• Act: Executes the decisions made during processing

The intelligence lives in the Process layer, whether that’s in the cloud, at the edge, or a combination of both.

Question 3: A smart recycling bin with fill-level sensors that sends data to optimize collection routes is an example of IoT because:

a) It uses sensors b) It has all three ingredients: thing, computation, and internet connectivity c) It saves money on waste collection d) It’s a physical object

Reveal Answer Answer: b) It has all three ingredients: thing, computation, and internet connectivity

Explanation: The smart recycling bin qualifies as IoT because:

1. Thing: The physical bin you can touch
2. Computation: Microcontroller processing sensor data
3. Internet: Connectivity to transmit fill levels to the cloud

While it does use sensors (a) and saves money (c), those alone don’t define IoT. Many non-IoT devices use sensors or provide benefits. The defining characteristic is having ALL THREE ingredients working together.

21.10 Complete IoT Architecture Layers

Inspect Figure 21.5 before this decision: Five IoT Layers: Sensor to User Value must be judged beside Layer 1. Together Five IoT Layers: Sensor to User Value and Layer 1 bound this claim.

Five IoT Layers: Sensor to User Value begins the diagram in Figure 21.5; locate Five IoT Layers: Sensor to User Value, compare Layer 1, and verify Physical. Five IoT Layers: Sensor to User Value states the starting condition; Layer 1 supplies its counterpart; Physical limits the conclusion; retain its labelled boundary.

Complete IoT Ecosystem - Data Flow:

• Physical layer: Sensors, actuators, and smart objects sense the environment and act on commands. Example: a thermostat sensor reads 65F.
• Edge layer: Gateways and local processors filter data or translate protocols. Example: a gateway converts Zigbee traffic to Wi-Fi.
• Connectivity layer: Wi-Fi, Ethernet, cellular, LPWAN, Bluetooth, and Zigbee move data between systems. Example: Wi-Fi sends a reading to the cloud.
• Cloud layer: Storage, analytics, ML, business logic, and APIs turn device data into decisions. Example: an ML model learns a heating schedule.
• Application layer: Mobile apps, dashboards, automation rules, alerts, and reports deliver user value. Example: an app shows energy savings.

Data Flow: Physical -> Edge -> Network -> Cloud -> Application Command Flow: Application -> Cloud -> Network -> Edge -> Physical (actuators respond)

Inspect Figure 21.6 before this decision: IoT Network Landscape must be judged beside WAN. Together IoT Network Landscape and WAN bound this claim.

IoT Network Landscape begins the diagram in Figure 21.6; locate IoT Network Landscape, compare WAN, and verify Wide Area Network - 802.20. IoT Network Landscape states the starting condition; WAN supplies its counterpart; Wide Area Network - 802.20 limits the conclusion; retain its labelled boundary.

21.11 Minimum Requirements of IoT

To qualify as part of the Internet of Things (IoT), a physical object must meet three minimum requirements: it should start as an everyday object, be enhanced with computational intelligence, and be equipped with internet communication capability. These components ensure the object can perform smart functions and communicate effectively within an IoT ecosystem.

Everyday Thing: The starting point for any IoT device is a physical object commonly found in daily life, such as furniture, appliances, or vehicles. These objects are made “smart” by adding computational and connectivity features.

Computation: Objects must be enhanced with computational capabilities to process data, execute tasks, and enable intelligent behavior. This often involves embedding microprocessors, sensors, and actuators into the object.

Internet Connectivity: Connectivity is the defining feature of IoT devices. It enables them to communicate with other devices, users, or cloud systems via direct or indirect internet communication channels.

21.12 Device Classification Decision Tree

Use this decision tree to classify any device you encounter:

The next claim about device classification decision tree depends on Figure 21.7. Its diagram makes Classify Before You Call It IoT and YES means continue downward explicit within decision tree for classifying software, embedded, connected, and iot products.

At Classify Before You Call It IoT in Figure 21.7, compare the diagram with YES means continue downward; then locate Question 1. That labelled check bounds decision tree for classifying software, embedded, connected, and iot products. For device classification decision tree, retain Question 1 as evidence for the resulting choice.

Use Figure 21.8 to prepare the decision in device classification decision tree. The diagram names The Three Ingredients Test and Thing, the two anchors needed to assess the three minimum ingredients for an iot device: thing, computation, and internet reach.

Within the diagram, The Three Ingredients Test opens Figure 21.8; Thing provides the counterpoint, and A physical object closes the inspection. This reading constrains the three minimum ingredients for an iot device: thing, computation, and internet reach and supplies the visual evidence for device classification decision tree.

IoT devices transform the ordinary into extraordinary by leveraging computational intelligence and connectivity, enabling seamless integration into smart environments.

21.13 IoT Classification Check

Scenario: Your company is launching a smart lock product with annual revenue projections of $50M. The engineering team proposes a design with a physical deadbolt mechanism, a microcontroller for keypad control and motor operation, and Bluetooth connectivity to communicate with smartphones within 30 feet. Marketing wants to call it an “IoT smart lock” and price it at $299 (premium over $150 traditional locks).

Think about:

1. Does Bluetooth-only connectivity truly enable “control from anywhere” marketing promises?
2. What would competitors with Wi-Fi-enabled locks offer that this version cannot?

Key Insight: Understanding the difference between “connected” and “IoT” is critical for product positioning and customer expectations.

Current Design Status:

• Thing: Physical deadbolt mechanism
• Computation: Microcontroller for control logic
• Internet: Only Bluetooth (local wireless, NOT internet)

Classification: This is a Connected Product, not a full IoT device. Bluetooth provides 10-100 feet range (requires proximity), while Internet enables global access.

Real Example - August Smart Lock Evolution:

• Version 1.0: Bluetooth only -> Connected Product (30-foot range, $249)
• Version 2.0: Bluetooth + Wi-Fi bridge -> IoT Device (remote access, $279)
• Version 3.0: Integrated Wi-Fi -> Full IoT (cloud intelligence, remote unlock, $299)

Business Impact:

• Connected: Unlock when standing at door, limited value proposition
• IoT: Unlock remotely for delivery ($2B package delivery market), monitor access logs, receive cloud alerts, 3x higher customer lifetime value

21.14 Warehouse Tech Selection Check

Scenario: Your logistics company wants to monitor temperature and humidity in 50 warehouses (200,000+ sq ft each) across the country to protect sensitive pharmaceutical inventory worth $2.5B annually. FDA compliance requires documented temperature control. The IT team presents two competing approaches:

Approach A (Wi-Fi): $50 sensors, $10/month/warehouse, 30-second updates, requires Wi-Fi infrastructure Approach B (LoRaWAN): $80 sensors + $200 gateway, $5/month/warehouse, 10-minute updates, 10-year battery

Think about:

1. What happens when temperature drifts out of range in a 200,000 sq ft warehouse with metal racking blocking signals?
2. Is the $30 sensor price difference more important than 5-year operational costs and reliability?

Key Insight: IoT technology selection depends on application requirements, not “newest” or “fastest” technology.

21.15 IoT Connectivity TCO

Compare total cost of ownership for different IoT connectivity technologies:

Try adjusting:

• Number of sensors to see scaling effects
• Deployment duration to see how operational costs accumulate
• Sensor costs to reflect your vendor quotes

Critical Requirements Analysis:

Warehouse Environment Challenges:

• Large buildings (200,000+ sq ft) - Wi-Fi coverage gaps common
• Metal racking - blocks Wi-Fi signals, creates dead zones
• Power outlets scarce - sensors need battery-powered
• Temperature changes slowly - no need for 30-second updates

5-Year Total Cost of Ownership:

• Wi-Fi: $10K sensors, $15K installation for Wi-Fi and power, $500/month operations ($30K over five years), for a five-year total of $55,000.
• LoRaWAN: $16K sensors, $3K simple gateway placement, $250/month operations ($15K over five years), for a five-year total of $34,000 and roughly 38% savings.

21.16 Continue to Part 2

Continue with IoT Requirements: TCO and Design Trade-offs.

21.17 Continue Your Route

This final part closes the route from What is Internet of Things (IoT) through Continue to Part 2. Return to IoT Requirements: Classification and Connectivity or continue from the applications module index.