LoRaWAN use cases (agriculture, smart city) in IOT Protocols - Step-by-Step Execution

Process Flow - LoRaWAN use cases (agriculture, smart city)

Start: LoRaWAN Device Sends Data

↓

Data Received by Gateway

↓

Gateway Forwards Data to Network Server

↓

Network Server Processes Data

↓

Agriculture Use Case

↓

Soil Moisture Sensor

↓

Data Sent to Farmer

↓

Farmer Takes Action

↓

End

This flow shows how LoRaWAN devices send data through gateways to a network server, which then routes the data to specific use cases like agriculture or smart city applications.

Execution Sample

IOT Protocols

Device -> Gateway -> Network Server -> Application
Application: Agriculture or Smart City
Agriculture: Soil sensor data -> Farmer
Smart City: Light sensor data -> Street lights

This sequence shows data flow from LoRaWAN devices to applications in agriculture and smart city contexts.

Process Table

Step	Action	Component	Data/Result
1	Device sends data	LoRaWAN Device	Soil moisture or light level
2	Gateway receives data	Gateway	Data packet received
3	Gateway forwards data	Gateway	Data sent to Network Server
4	Network Server processes data	Network Server	Data decoded and routed
5	Data routed to Agriculture app	Application Server	Soil moisture data
6	Farmer receives data	Farmer	Notification to water crops
7	Data routed to Smart City app	Application Server	Light sensor data
8	Street lights adjust brightness	Street Lights	Lights dimmed or brightened
9	End of data flow	System	Actions taken based on data

💡 Data flow ends after actions are taken in agriculture or smart city applications.

Status Tracker

Variable	Start	After Step 1	After Step 2	After Step 3	After Step 4	After Step 5/7	After Step 6/8	Final
Data Packet	None	Soil moisture or light level	Received by Gateway	Forwarded to Network Server	Decoded and Routed	Delivered to Application	Action Taken	Completed

Key Moments - 3 Insights

How does the data move from the device to the application?

Data moves step-by-step: device sends it, gateway receives and forwards it, network server processes and routes it, then the application uses it. See execution_table rows 1 to 5/7.

Why are there two different application paths?

Because LoRaWAN supports many use cases, the network server routes data to different applications like agriculture or smart city depending on the device type. See execution_table rows 5-8.

What happens after the application receives the data?

The application triggers actions: farmers get notified to water crops or street lights adjust brightness. This is shown in execution_table rows 6 and 8.

Visual Quiz - 3 Questions

Look at the execution table, at which step does the network server decode and route the data?

A Step 4

B Step 5

C Step 3

D Step 2

💡 Hint

Check the 'Action' column in execution_table row 4.

At which step does the farmer receive the soil moisture data?

A Step 5

B Step 7

C Step 6

D Step 8

💡 Hint

Look for 'Farmer receives data' in execution_table.

If the device sends light sensor data, which application will handle it?

A Agriculture application

B Smart City application

C Network Server only

D Gateway

💡 Hint

Refer to execution_table rows 7 and 8 for smart city data flow.

Concept Snapshot

LoRaWAN devices send small data packets to gateways.
Gateways forward data to a network server.
Network server routes data to applications.
Applications trigger actions (e.g., watering crops, adjusting lights).
Supports many use cases like agriculture and smart cities.
Low power, long range communication ideal for IoT.

Full Transcript

LoRaWAN is a communication method where devices send small data packets wirelessly to gateways. These gateways forward the data to a network server, which processes and routes it to specific applications. For example, in agriculture, soil moisture sensors send data that the farmer receives to decide when to water crops. In smart cities, light sensors send data that adjust street lighting to save energy. This flow ensures efficient, low-power communication for many IoT use cases.

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