Why LoRaWAN use cases (agriculture, smart city) in IOT Protocols? - Purpose & Use Cases

The Big Idea

What if your farm or city could tell you exactly what it needs, without you having to walk a single step?

The Scenario

Imagine a farmer walking through vast fields every day, checking soil moisture by hand and noting down data on paper.

Or a city worker manually inspecting streetlights and parking spots one by one to find issues.

The Problem

This manual work is slow and tiring. It's easy to miss spots or make mistakes when writing data down.

Fixing problems takes longer because you only find them after they get worse.

The Solution

LoRaWAN lets sensors send data wirelessly over long distances with low power.

This means farmers and city managers get real-time info without walking everywhere.

They can act fast and save time and money.

Before vs After

✗ Before

Check soil moisture manually
Record data on paper
Walk fields daily

✓ After

Sensors send moisture data via LoRaWAN
Receive data on dashboard
Monitor fields remotely

What It Enables

LoRaWAN enables smart, efficient monitoring that saves effort and improves decisions in farming and city life.

Real Life Example

A smart city uses LoRaWAN sensors to detect empty parking spots and faulty streetlights, updating drivers and maintenance teams instantly.

Farmers use LoRaWAN soil sensors to water crops only when needed, saving water and boosting yield.

Key Takeaways

Manual checks are slow and error-prone.

LoRaWAN sends sensor data wirelessly over long distances.

This helps farms and cities work smarter and faster.

Practice

1. Which of the following is a common use case of LoRaWAN in agriculture?

easy

A. Providing high-speed internet to farmhouses

B. Streaming high-definition video from drones

C. Running heavy machinery remotely

D. Automating irrigation systems to save water

Solution

1. Step 1: Understand LoRaWAN's strengths in agriculture

   LoRaWAN is designed for low power, long-range sensor communication, ideal for monitoring and controlling irrigation.

2. Step 2: Match use cases to LoRaWAN capabilities

   Automating irrigation fits well because it uses sensors and low data rates, unlike video streaming or heavy machinery control.

3. Final Answer:

   Automating irrigation systems to save water -> Option D

4. Quick Check:

   Low power sensor control = Automating irrigation [OK]

Hint: LoRaWAN suits low power sensors, not heavy data tasks [OK]

Common Mistakes:

• Confusing LoRaWAN with Wi-Fi for video streaming
• Assuming LoRaWAN supports high-speed internet
• Thinking LoRaWAN controls heavy machinery directly

2. Which LoRaWAN device configuration is best for a smart city air quality sensor?

easy

A. Low power, long range, infrequent data transmission

B. High power, short range, frequent data transmission

C. High power, long range, continuous data streaming

D. Low power, short range, continuous data streaming

Solution

1. Step 1: Identify LoRaWAN device needs for air quality sensors

   Air quality sensors send small data packets and need long battery life, so low power and long range are key.

2. Step 2: Choose transmission frequency

   Infrequent data transmission saves battery and fits typical air quality monitoring.

3. Final Answer:

   Low power, long range, infrequent data transmission -> Option A

4. Quick Check:

   Low power + long range + infrequent = Best for sensors [OK]

Hint: Smart sensors send small data rarely to save battery [OK]

Common Mistakes:

• Choosing high power which drains battery fast
• Selecting continuous streaming which wastes energy
• Ignoring range needs for city-wide coverage

3. Consider this LoRaWAN sensor code snippet for soil moisture in a farm:

sendData = () => {
  const moisture = 30;
  if (moisture < 40) {
    return 'Water plants';
  } else {
    return 'No action';
  }
}
console.log(sendData());

What will be the output?

medium

A. Water plants

B. No action

C. 30

D. undefined

Solution

1. Step 1: Analyze the moisture value and condition

   The moisture variable is 30, which is less than 40, so the if condition is true.

2. Step 2: Determine the returned string

   Since condition is true, the function returns 'Water plants'.

3. Final Answer:

   Water plants -> Option A

4. Quick Check:

   moisture 30 < 40 = 'Water plants' [OK]

Hint: Check if condition true or false to find output [OK]

Common Mistakes:

• Confusing return value with variable value
• Ignoring the if condition logic
• Assuming function returns moisture number

4. A LoRaWAN smart city sensor code snippet is not sending data as expected:

function sendData() {
  let pollution = 55;
  if pollution > 50 {
    return 'Alert: High pollution';
  } else {
    return 'Pollution normal';
  }
}
console.log(sendData());

What is the error in this code?

medium

A. Incorrect return statement syntax

B. Using let instead of const for pollution

C. Missing parentheses around the if condition

D. Missing semicolon after return statements

Solution

1. Step 1: Check syntax of the if statement

   The if condition must have parentheses around the condition: if (pollution > 50) {...}

2. Step 2: Verify other syntax elements

   Using let is allowed, return statements are correct, semicolons are optional in JavaScript.

3. Final Answer:

   Missing parentheses around the if condition -> Option C

4. Quick Check:

   if condition needs parentheses [OK]

Hint: Always put parentheses around if conditions [OK]

Common Mistakes:

• Ignoring missing parentheses in if
• Thinking let causes error here
• Focusing on semicolons instead of condition syntax

5. A farmer wants to use LoRaWAN sensors to automate watering only when soil moisture is below 35% and temperature is above 20°C. Which logic best fits this use case?

hard

A. Trigger watering if moisture < 35 OR temperature > 20

B. Trigger watering if moisture < 35 AND temperature > 20

C. Trigger watering if moisture > 35 AND temperature < 20

D. Trigger watering if moisture > 35 OR temperature < 20

Solution

1. Step 1: Understand the condition requirements

   Watering should happen only when both moisture is low (<35) and temperature is high (>20).

2. Step 2: Choose correct logical operator

   AND operator ensures both conditions must be true to trigger watering.

3. Final Answer:

   Trigger watering if moisture < 35 AND temperature > 20 -> Option B

4. Quick Check:

   Both conditions true = AND operator [OK]

Hint: Use AND to require both conditions true [OK]

Common Mistakes:

• Using OR which triggers watering too often
• Reversing comparison signs
• Ignoring temperature condition