30 Video Gallery

30.1 Learning Objectives

⏱️ ~5 min | ⭐ Foundational | 📋 P01.C05.U01

By using this video gallery, you will be able to:

Access multimedia content: Find video explanations for complex IoT topics
Reinforce text learning: Use visual walkthroughs to complement written chapters
Learn at your pace: Pause, rewind, and revisit difficult concepts
Explore different formats: Choose between lecture highlights, demos, and tutorials

Key Takeaway

In one sentence: Active video learning with pauses, notes, and reflection achieves 60-80% retention versus 10-20% for passive watching.

Remember this rule: Pause every 3-5 minutes to write a one-sentence summary, and always complete the related quiz within 24 hours of watching.

Short, focused videos to reinforce the written material. Most clips embed directly in the relevant chapters—this page collects them for quick access.

30.2 Prerequisites

⏱️ ~8 min | ⭐ Foundational | 📋 P01.C05.U02

Technical Requirements: - Stable internet connection for streaming - YouTube access (some institutions may block) - Optional: Note-taking setup for active viewing

Before Watching: For each video category, we recommend completing the corresponding chapter first:

Video Category	Read First
Architecture	IoT Reference Models
Networking	Networking Fundamentals
Security	Security Overview
Data Analytics	Edge Computing
Sensing	Sensor Fundamentals

Effective Video Learning: 1. Preview - Skim related chapter first 2. Watch actively - Take notes, pause to reflect 3. Review - Complete Knowledge Check after watching 4. Apply - Try related simulation or lab

Video Duration Guide: - 🟢 Short (< 10 min): Quick concept explanations - 🟡 Medium (10-30 min): Detailed tutorials - 🔴 Long (> 30 min): Deep dives and lectures

How to Use This Gallery

Recommended Learning Path: 1. Preview - Watch videos before reading detailed chapters 2. Reinforce - Re-watch after studying to solidify understanding 3. Explore - Use videos to discover new topics of interest 4. Practice - Follow along with hands-on demonstrations

Video Categories: - 🏗️ Architecture - System design, reference models, edge/fog computing - 📊 Data - Analytics, edge computing, databases, big data - 🔐 Security - Encryption, privacy, vulnerabilities, threats - 🌐 Networking - Protocols (MQTT, CoAP, LPWAN), wireless, routing - 📡 Sensing - Sensors, actuators, signal processing

Video Embedding: All videos are embedded in their corresponding chapters using #videos anchors. For example: - chapter-name.qmd#videos links to the video section in that chapter - This gallery provides a centralized index for quick discovery

Difficulty Levels: - ⭐ Foundational - Introductory concepts, no prerequisites - ⭐⭐ Intermediate - Assumes basic IoT knowledge - ⭐⭐⭐ Advanced - Technical deep dives

30.3 Video Learning Workflow

⏱️ ~10 min | ⭐⭐ Intermediate | 📋 P01.C05.U03

Understanding how to use videos effectively enhances your learning experience:

%%{init: {'theme': 'base', 'themeVariables': {'primaryColor': '#2C3E50', 'primaryTextColor': '#fff', 'primaryBorderColor': '#16A085', 'lineColor': '#16A085', 'secondaryColor': '#E67E22', 'tertiaryColor': '#7F8C8D'}}}%%
graph LR
    subgraph BEFORE["BEFORE Watching"]
        B1["Preview chapter<br/>text (5 min)"]
        B2["Set up<br/>note-taking"]
        B3["Define learning<br/>goals"]
    end

    subgraph DURING["DURING Watching"]
        D1["Pause every<br/>3-5 minutes"]
        D2["Write 1-sentence<br/>summaries"]
        D3["Redraw diagrams<br/>yourself"]
        D4["Rewind unclear<br/>parts immediately"]
    end

    subgraph AFTER["AFTER Watching"]
        A1["Summarize in<br/>3 bullets"]
        A2["Identify 1<br/>confusion point"]
        A3["Complete<br/>quiz"]
        A4["Apply in<br/>simulation"]
    end

    BEFORE --> DURING --> AFTER

    B1 --> B2 --> B3
    D1 --> D2 --> D3 --> D4
    A1 --> A2 --> A3 --> A4

    style BEFORE fill:#2C3E50,stroke:#16A085,stroke-width:2px,color:#fff
    style DURING fill:#E67E22,stroke:#16A085,stroke-width:2px,color:#fff
    style AFTER fill:#16A085,stroke:#2C3E50,stroke-width:2px,color:#fff

Figure 30.2: Alternative View: Three-Phase Active Learning - This diagram organizes video learning into distinct phases with specific actions. BEFORE: Preparation primes your brain to receive information. DURING: Active engagement techniques (pausing, note-taking, redrawing) increase retention from 10-20% to 60-80%. AFTER: Consolidation activities (summarizing, quizzing, applying) cement learning into long-term memory. Each phase is essential - skipping preparation or follow-up dramatically reduces learning effectiveness.

30.4 Video Content Categories

⏱️ ~12 min | ⭐ Foundational | 📋 P01.C05.U04

%%{init: {'theme': 'base', 'themeVariables': {'primaryColor': '#2C3E50', 'primaryTextColor': '#2C3E50', 'primaryBorderColor': '#16A085', 'lineColor': '#16A085'}}}%%
graph TD
    subgraph ORDER["Recommended Viewing Order by Category"]
        direction LR
        O1["1. Architecture<br/>3 videos<br/>System context first"] --> O2["2. Networking<br/>12 videos<br/>Connectivity foundation"]
        O2 --> O3["3. Security<br/>5 videos<br/>After network understanding"]
        O3 --> O4["4. Data Analytics<br/>3 videos<br/>Processing patterns"]
        O4 --> O5["5. Sensing<br/>2 videos<br/>Can watch anytime"]
    end

    subgraph PARALLEL["Can Watch in Parallel"]
        P1["Sensing basics<br/>standalone"]
        P2["Architecture overview<br/>standalone"]
    end

    style O1 fill:#2C3E50,stroke:#16A085,stroke-width:2px,color:#fff
    style O2 fill:#16A085,stroke:#2C3E50,stroke-width:2px,color:#fff
    style O3 fill:#E67E22,stroke:#2C3E50,stroke-width:2px,color:#fff
    style O4 fill:#1B4F72,stroke:#16A085,stroke-width:2px,color:#fff
    style O5 fill:#7F8C8D,stroke:#2C3E50,stroke-width:2px,color:#fff
    style P1 fill:#E8F4F8,stroke:#16A085,stroke-width:1px
    style P2 fill:#E8F4F8,stroke:#16A085,stroke-width:1px

Figure 30.4: Alternative View: Viewing Order Strategy - Rather than browsing randomly, this diagram shows the recommended sequence for watching video categories. Start with Architecture to understand system context, then Networking to grasp connectivity options. Security videos make more sense after understanding network attack surfaces. Data Analytics builds on both architecture and protocol knowledge. Sensing videos are relatively standalone and can be watched anytime. Following this order ensures prerequisite concepts are in place before tackling dependent topics.

Category	Videos Available
🏗️ Architecture	Edge/Fog Computing, Cloud Computing, Reference Models
📊 Data Analytics	Data at Edge, Data in Cloud, Big Data
🔐 Security	Overview, Encryption, Threats, Device Security
🌐 Networking	Protocols Overview, MQTT, CoAP, LPWAN, LoRaWAN, NB-IoT
📡 Sensing	Sensors, Actuators, Signal Processing

30.5 Video Learning Paths by Difficulty

⏱️ ~15 min | ⭐⭐ Intermediate | 📋 P01.C05.U05

Choose your path based on your current knowledge level:

%%{init: {'theme': 'base', 'themeVariables': {'primaryColor': '#2C3E50', 'primaryTextColor': '#fff', 'primaryBorderColor': '#16A085', 'lineColor': '#16A085', 'secondaryColor': '#E67E22', 'tertiaryColor': '#7F8C8D'}}}%%
flowchart TD
    START([What brings you here?]) --> Q1{Current IoT Experience?}

    Q1 -->|Complete Beginner| PATH1[Foundational Path<br/>2-3 hours]
    Q1 -->|Some Technical Background| PATH2[Intermediate Path<br/>3-4 hours]
    Q1 -->|Working on Project| Q2{Project Domain?}

    PATH1 --> F1[1. IoT Overview]
    F1 --> F2[2. Networking Basics]
    F2 --> F3[3. Security Overview]
    F3 --> F4[4. Choose Specialization]

    PATH2 --> I1[1. MQTT + CoAP]
    I1 --> I2[2. LoRaWAN or NB-IoT]
    I2 --> I3[3. Edge/Fog Computing]

    Q2 -->|Smart Home| SH[Zigbee + Thread Videos]
    Q2 -->|Industrial/Agriculture| IND[LPWAN + Security Videos]
    Q2 -->|Wearables/Health| WEAR[BLE + Edge Videos]

    style START fill:#2C3E50,stroke:#16A085,stroke-width:2px,color:#fff
    style Q1 fill:#E67E22,stroke:#2C3E50,stroke-width:2px,color:#fff
    style Q2 fill:#E67E22,stroke:#2C3E50,stroke-width:2px,color:#fff
    style PATH1 fill:#16A085,stroke:#2C3E50,stroke-width:2px,color:#fff
    style PATH2 fill:#1B4F72,stroke:#2C3E50,stroke-width:2px,color:#fff
    style SH fill:#9B59B6,stroke:#2C3E50,stroke-width:1px,color:#fff
    style IND fill:#9B59B6,stroke:#2C3E50,stroke-width:1px,color:#fff
    style WEAR fill:#9B59B6,stroke:#2C3E50,stroke-width:1px,color:#fff

Figure 30.6: Alternative View: Personalized Path Selector - This decision tree helps you choose the right video sequence based on your background and goals. Complete beginners follow the 2-3 hour foundational path building from basics to specialization. Those with technical background can skip fundamentals and dive into protocol-specific content. Project-focused learners go directly to domain-relevant videos (Smart Home, Industrial, or Wearables). This goal-oriented approach ensures you invest viewing time in content most relevant to your immediate needs.

Misconception Alert: Passive vs Active Video Learning

Common Mistake: Many students treat educational videos like entertainment - watching passively without engagement.

The Problem: - Passive watching = 10-20% retention after 24 hours - Active engagement = 60-80% retention after 24 hours - Simply watching without note-taking creates an “illusion of understanding”

Active Learning Behaviors: - ✅ Pause frequently to reflect and take notes - ✅ Rewind unclear sections immediately (don’t wait until the end) - ✅ Try examples yourself before seeing the solution - ✅ Complete Knowledge Checks after each video - ❌ Don’t watch at 2× speed for complex technical content - ❌ Don’t multitask while watching (checking email, scrolling social media)

Research Shows: Students who pause 3+ times per 10-minute video score 28% higher on comprehension tests.

Active Watching Guide: Maximize Your Learning

Before Pressing Play: 1. Set up note-taking - Open a document or notebook 2. Preview the chapter - Skim the related text (5 minutes) 3. Eliminate distractions - Close unnecessary tabs, silence phone

While Watching: - 0:00-1:00 - Note the main topic and learning objectives - Every 3-5 minutes - Pause and write a one-sentence summary of what you just learned - When you see an example - Pause at the setup (before the solution), try it yourself, then compare - When confused - Rewind immediately, don’t hope it will make sense later - When you see a diagram - Pause and redraw it yourself (forces deeper processing)

Specific Pause Points (Example - MQTT Deep Dive): - 3:45 - Before QoS levels are explained, predict: “What quality levels might IoT need?” - 8:20 - Before publish/subscribe demo, sketch your own architecture first - 15:30 - Before retained messages, try: “How would I notify late-joining clients?”

After Watching: - Summarize in 3 bullets - What were the key takeaways? - Identify 1 confusion point - What’s still unclear? - Complete the Knowledge Check - Validate your understanding - Apply in simulation - Practice what you learned

Pro Tip: If you can’t explain a concept in your own words, you don’t understand it yet - rewatch that section.

Cross-Hub Connections: Complete Your Learning Loop

Videos are most effective when integrated with other learning resources:

After Watching a Video:

Test Your Understanding → Quiz Hub
- Every video topic has corresponding quizzes
- Complete the quiz within 24 hours for best retention
- Example: After MQTT video → MQTT Quiz
Practice Hands-On → Simulations Hub
- Apply concepts in interactive environments
- Example: After Networking video → Network Topology Visualizer
Fill Knowledge Gaps → Knowledge Gaps Hub
- If a concept was confusing, check common misconceptions
- Example: Confused about QoS levels? → MQTT Common Mistakes
Explore the Knowledge Map → Knowledge Map Hub
- See how the topic connects to the broader IoT ecosystem
- Example: How does MQTT relate to edge computing, security, and applications?

Recommended Learning Sequence:

Read Chapter → Watch Video → Take Notes → Quiz → Simulation → Review Gaps

Efficiency Tips: - Short on time? Watch video first (overview) → Read chapter (details) → Quiz (validation) - Deep learning? Read → Video → Quiz → Simulation → Re-watch unclear sections - Exam prep? Video speed review → Quiz → Knowledge Gaps → Knowledge Map

Sample Video Notes Template

Use this template to take effective notes while watching videos:

Video Title: ___________________________ Date Watched: // Duration: minutes Related Chapter: [Chapter Link]

30.5.1 Pre-Watch (2 minutes)

30.6 What I already know about this topic:
30.7 What I want to learn:

30.7.1 While Watching (Main Notes)

Timestamp	Key Concept	My Summary	Questions/Confusion
0:00	Introduction

Important Diagrams/Examples (Sketch or Describe): 1. 2. 3.

Technical Terms I Need to Review: - Term: _____________ → Definition: _____________ - Term: _____________ → Definition: _____________

30.7.2 Post-Watch Reflection (5 minutes)

3 Key Takeaways: 1. 2. 3.

30.8 1 Confusing Point (to revisit):

How This Relates to Previous Topics: - Connects to [Chapter X] because… - Builds on [Concept Y] by adding…

Action Items: - [ ] Complete quiz: [Link] - [ ] Try simulation: [Link] - [ ] Review chapter section: [Page #] - [ ] Rewatch timestamp: :

Quiz Score (after video): / Simulation Completed: ☐ Yes ☐ No

30.8.1 Example: Filled Template (MQTT Video)

Video Title: MQTT Deep Dive Date Watched: 12/16/2025 Duration: 18 minutes Related Chapter: MQTT Fundamentals

While Watching:

Timestamp	Key Concept	My Summary	Questions/Confusion
0:00	MQTT Overview	Lightweight pub/sub for IoT, 1999 by IBM	Why “Message Queue” if it doesn’t queue?
3:45	QoS Levels	0=fire-forget, 1=at-least-once, 2=exactly-once	When to use QoS 2? High overhead?
8:20	Pub/Sub Demo	Clients publish to topics, broker routes	How does wildcard subscription work?
15:30	Retained Messages	Last message stored, sent to new subscribers	How long does broker retain? Forever?

3 Key Takeaways: 1. MQTT is ideal for constrained devices (low bandwidth, battery-powered sensors) 2. QoS levels trade reliability for overhead - choose based on use case 3. Topics use hierarchy (home/bedroom/temperature) for organized routing

1 Confusing Point: - Still unclear on “session persistence” - what happens if client disconnects?

Action Items: - [x] Complete quiz: MQTT Quiz - [x] Try simulation: MQTT Broker Setup - [ ] Review chapter section: “Session Management” (Page 4) - [ ] Rewatch timestamp: 12:15 (session persistence explanation)

Quiz Score: 8/10 (missed questions on Last Will Testament and Keep-Alive)

30.9 Featured Playlists

⏱️ ~8 min | ⭐ Foundational | 📋 P01.C05.U06

Start Here – IoT Overview
Protocols in Practice – MQTT Deep Dive · LoRaWAN Explained
Design & Prototyping – Rapid Prototyping Workflow
Security Focus – Threat Modeling Walkthrough

30.10 Browse by Topic

⏱️ ~15 min | ⭐⭐ Intermediate | 📋 P01.C05.U07

30.10.1 Architecture

Edge/Fog Computing ⭐⭐ 🟡
Cloud Computing ⭐⭐ 🟢

30.10.2 Data

Data at the Edge ⭐⭐ 🟡
Data in the Cloud ⭐⭐ 🟢

30.10.3 Security

30.10.4 Networking & Protocols

IoT Protocols Overview ⭐ 🟢
Application Protocols Overview ⭐⭐ 🟡
Layered Network Models ⭐ 🟢
Networking Basics ⭐ 🟢
MQTT ⭐⭐ 🟡
CoAP ⭐⭐ 🟡
AMQP ⭐⭐⭐ 🟡
XMPP ⭐⭐ 🟢
LPWAN Introduction ⭐ 🟢
LoRaWAN ⭐⭐ 🟡
Sigfox ⭐⭐ 🟢
NB-IoT ⭐⭐ 🟡
Weightless ⭐⭐ 🟢

30.10.5 Sensing & Actuation

Sensors ⭐ 🟢
Actuators ⭐ 🟢

30.11 Video Coverage Map

⏱️ ~10 min | ⭐ Foundational | 📋 P01.C05.U08

The following table shows which book parts currently have video support:

Book Part	Video Support	Topics Covered
Part 1: Learning Hubs	✅ Full	Hub navigation, learning strategies
Part 2: Fundamentals	⚠️ Partial	Protocols, signal processing (gaps: data formats, packet structure)
Part 3: Applications	⚠️ Partial	IoT overview (gaps: use cases, business models)
Part 4-5: Architectures	✅ Good	Edge/fog computing, cloud (gaps: WSN, M2M, UAV)
Part 6: Sensing & Actuation	✅ Good	Sensors, actuators
Part 7-9: Networking	✅ Excellent	Protocols (MQTT, CoAP, LPWAN, LoRaWAN, NB-IoT)
Part 10: Data Analytics	✅ Good	Edge data, cloud data
Part 11: Privacy & Security	✅ Excellent	Overview, encryption, threats, device security
Part 12: Human Factors	❌ None	Future content planned
Part 13: Design Strategies	⚠️ Partial	Prototyping (gaps: simulation, optimization)
Part 14: Product Analysis	❌ None	Future content planned

Legend: - ✅ Full/Excellent: Comprehensive video coverage (4+ videos) - ✅ Good: Solid coverage (2-3 videos) - ⚠️ Partial: Limited coverage (1 video or gaps) - ❌ None: No videos yet

30.12 Upcoming Releases

We’re continuously adding new video content. Planned releases include:

Live coding sessions for MQTT client/server builds
Walkthrough of the simulator integration toolkit
Student project showcase series
Deep dives on hardware prototyping with ESP32/Arduino
Business models and monetization strategies
Human factors and UX design for IoT

Check back regularly for new video content, or watch for announcements in course updates.

30.13 Quick Index

⏱️ ~12 min | ⭐⭐ Intermediate | 📋 P01.C05.U09

Complete listing of all embedded videos with difficulty and duration:

Chapter	Video Title	Difficulty	Duration	Anchor
Architecture
Edge/Fog Computing	IoT Gateways and Fog/Edge Overview	⭐⭐	🟡	View
Cloud Computing	Cloud Platforms for IoT	⭐⭐	🟢	View
Data Analytics
Edge Data	Data Processing at the Edge	⭐⭐	🟡	View
Cloud Data	Data in the Cloud Platforms	⭐⭐	🟢	View
Security
Security Overview	IoT Security Fundamentals	⭐	🟢	View
Encryption	Encryption Labs and Implementation	⭐⭐	🟡	View
Threat Modeling	Threat Analysis and Mitigation	⭐⭐⭐	🟡	View
Secure Software	Secure Data and Software Practices	⭐⭐	🟢	View
Device Security	IoT Device and Network Security	⭐⭐	🟡	View
Networking Fundamentals
IoT Protocols	Protocols Overview	⭐	🟢	View
Application Protocols	Application Layer Protocols	⭐⭐	🟡	View
Layered Models	OSI and TCP/IP Models	⭐	🟢	View
Networking Basics	Networking Fundamentals	⭐	🟢	View
Short-Range Protocols
MQTT	MQTT Deep Dive	⭐⭐	🟡	View
CoAP	CoAP Fundamentals	⭐⭐	🟡	View
AMQP	Advanced Message Queuing	⭐⭐⭐	🟡	View
XMPP	Extensible Messaging Protocol	⭐⭐	🟢	View
Long-Range Protocols
LPWAN Introduction	LPWAN Overview	⭐	🟢	View
LoRaWAN	LoRaWAN Explained	⭐⭐	🟡	View
Sigfox	Sigfox Technology	⭐⭐	🟢	View
NB-IoT	Cellular IoT Fundamentals	⭐⭐	🟡	View
Weightless	Weightless in LPWAN Landscape	⭐⭐	🟢	View
Sensing & Actuation
Sensors	Sensor Types and Implementation	⭐	🟢	View
Actuators	Actuator Fundamentals	⭐	🟢	View

Duration Key: - 🟢 Short (< 10 min): Quick concept explanations - 🟡 Medium (10-30 min): Detailed tutorials - 🔴 Long (> 30 min): Deep dives and lectures

Difficulty Key: - ⭐ Foundational: No prerequisites required - ⭐⭐ Intermediate: Basic IoT knowledge assumed - ⭐⭐⭐ Advanced: Technical background required

30.14 Visual Reference Gallery

AI-Generated Figure Variants: Video Content Topics

These AI-generated SVG figures illustrate key concepts covered in the video content. Each represents a major topic area available through the video gallery.

Artistic illustration of IoT protocol stack showing layered architecture from physical layer through application layer, using IEEE color palette with navy blue, teal, and orange accents. Demonstrates protocol hierarchy central to networking video content. — IoT Protocol Stack - Foundation for understanding networking videos

Artistic interpretation of the IoT Elephant diagram representing the multifaceted nature of Internet of Things, with interconnected elements showing sensors, connectivity, data processing, and applications. Key visual metaphor introduced in overview videos. — IoT Elephant - Iconic representation of IoT concepts

Artistic visualization of TCP/IP protocol stack showing four layers: Application, Transport, Internet, and Network Access. IEEE color palette highlights layer boundaries and data encapsulation concepts explained in networking videos. — TCP/IP Stack - Networking fundamentals covered in video content

Artistic diagram of LoRaWAN protocol stack showing physical layer (LoRa modulation), MAC layer, and network server components. Illustrates LPWAN architecture covered in LoRaWAN video tutorials. — LoRaWAN Protocol Stack - Long-range wireless video topics

Artistic representation of Bluetooth Classic and BLE protocol stacks showing radio layer, baseband, L2CAP, and application profiles. IEEE colors highlight stack differences discussed in Bluetooth video content. — Bluetooth Protocol Stack - Short-range wireless video content

Figure Styles Available: These AI-generated figures come in multiple styles (artistic, modern, geometric) - access alternatives via the image version switcher when viewing in the book.

30.15 Summary

This video gallery provides multimedia support for your IoT learning journey:

30.15.1 Key Features

25+ Videos: Comprehensive coverage across Architecture, Data, Security, Networking, and Sensing
Featured Playlists: Curated collections for getting started and deep dives
Difficulty Indicators: Clear marking of beginner (⭐), intermediate (⭐⭐), and advanced (⭐⭐⭐) content
Duration Guides: Color-coded duration indicators (🟢 short, 🟡 medium, 🔴 long)

30.15.2 Organization

Topic-Based Browsing: Videos organized by 5 main categories (Architecture, Data, Security, Networking, Sensing)
Quick Index: Complete listing with difficulty and duration metadata
Coverage Map: Shows which book parts have strong video support vs gaps
Chapter Integration: Every video embedded in its corresponding text chapter via #videos anchors

30.15.3 Learning Support

Active Learning Workflow: Preview → Watch → Note → Reflect → Quiz → Apply
Prerequisites Guide: Recommended chapters to read before watching each category
Cross-Hub Integration: Videos work seamlessly with Quizzes and Simulations hubs

30.16 Knowledge Check

Auto-Gradable Quick Check

According to the Video Learning Workflow, the most effective way to watch course videos is to:

The workflow emphasizes active viewing (notes + reflection) and an iterative loop (rewind/rewatch) until the concept is clear.

After watching a video and reviewing your notes, the recommended next step to validate understanding is to:

Quizzes and knowledge checks provide objective feedback; any missed items become inputs to your study plan (chapters, videos, simulations).

Which option lists the five main content categories used to organize this gallery?

The gallery groups videos across the core IoT domains covered in the book: architecture, data, security, networking, and sensing.

If you want to jump to the embedded video section inside a specific chapter, the recommended link pattern is:

Chapters use #videos anchors for embedded video sections; this gallery acts as an index pointing into those anchors.

30.17 What’s Next

Start with the IoT Overview video if you’re new
After watching, test your understanding with Quizzes
Try hands-on practice in the Simulation Playground