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How you can get began with the brand new AWS IoT Core Gadget Location service


The brand new AWS IoT Core Gadget Location function permits Web of Issues (IoT) units to retrieve and report their present location with out counting on World Positioning System (GPS) {hardware}. Units and purchasers linked to AWS IoT Core can now use cloud-assisted World Navigation Satellite tv for pc System(GNSS), WiFi scan, mobile triangulation, and reverse IP lookup methods with the AWS IoT Core Gadget Location function to find out their GPS coordinates and general location.

Geo-location info and site monitoring are necessities in lots of Web of Factor (IoT) purposes. Segments similar to logistics and automotive can’t ship important outcomes with out this information. Traditionally, Geolocation monitoring depends on particular {hardware}, like World Positioning System (GPS) modules. If units don’t have a GPS {hardware}, including one or upgrading current units might be pricey at scale or may not be possible to implement. Nonetheless, even with a built-in GPS {hardware}, there isn’t a assure that these units may have fixed connectivity to GPS satellites to retrieve and report their coordinates.

On this weblog put up, we’ll present the way to get began with the AWS IoT Core Gadget Location. We’ll element what steps you may take earlier than utilizing the function and reveal the way to use it to resolve your machine’s location primarily based on solely its IP deal with.


To comply with via this weblog put up, you will want an AWS account, an AWS IoT Core supported area,  permissions to create AWS IoT Guidelines, AWS Lambda Features,  AWS Identification and Entry Administration (IAM) roles and insurance policies, and entry to AWS CloudShell. We additionally assume you’ve gotten aware of the fundamentals of Linux bash instructions.


For the demonstration on this put up, you’ll resolve a tool’s location by first publishing its IP deal with through an MQTT message to AWS IoT Core. Second, an AWS IoT Rule will ahead the message to a Lambda perform. Third, this Lambda perform will name the AWS IoT Core Gadget Location function, through the GetPositionEstimate API. Lastly, the Lambda perform will publish the machine’s location information as an MQTT message again to the machine or any MQTT shopper subscribed to the situation response subject. The illustration beneath particulars what this resolution will appear like as soon as totally carried out.

Step 1: Create AWS Lambda execution function and coverage

Out of your AWS CloudShell setting implement the next instructions:

  1. Create the environmental variables for the upcoming command
    export ACCOUNT_ID=<Change together with your account ID>
    export REGION=<Change together with your area>
  2. Create the IAM execution function for the Lambda perform utilizing the create-role command
    aws iam create-role --role-name "lambda-ex-ipAddressToDeviceLocationService" 
    --assume-role-policy-document '{
        "Model": "2012-10-17",
        "Assertion": [
                "Effect": "Allow",
                "Principal": {
                    "Service": "lambda.amazonaws.com"
                "Action": "sts:AssumeRole"
  3. Now we’ll create the coverage doc for the function’s permissions, run the command beneath to create the coverage doc
    ( jq -n 
                --arg area "$REGION" 
                --arg account_id "$ACCOUNT_ID" 
                "Model": "2012-10-17",
                "Assertion": [
                        "Effect": "Allow",
                        "Action": "iotwireless:GetPositionEstimate",
                        "Resource": "*"
                        "Effect": "Allow",
                        "Action": [
                        "Useful resource": [
                        "Impact": "Enable",
                        "Motion": [
                        "Useful resource": "arn:aws:logs:($area):($account_id):log-group:/aws/lambda/ipAddressToDeviceLocationService:*"
            }' ) > lambda_policy.json
  4. Use the put-role-policy command to connect the coverage to the function
    aws iam put-role-policy 
    --role-name "lambda-ex-ipAddressToDeviceLocationService" 
    --policy-name lambda-ex-ipAddressToDeviceLocationService-policy 
    --policy-document file://lambda_policy.json

    Use the get-role-policy command to verify if the coverage has been efficiently connected

    aws iam get-role-policy 
    --role-name "lambda-ex-ipAddressToDeviceLocationService" 
    --policy-name lambda-ex-ipAddressToDeviceLocationService-policy

Step 2: Create a  Lambda Perform

Out of your AWS CloudShell setting implement the next instructions:

Our Lambda perform has a dependency on the AWS SDK for Python (Boto3) SDK, and the brand new GetPositionEstimate API is supported on model 1.26.45 or later.  In an effort to create a Lambda perform with the newest model of Boto3, we’ll create and publish a Lambda layer.

  1. To Implement the lambda layer use the next instructions
    mkdir -p $LIB_DIR
    #(You might have to run this command 2 or 3 occasions so it may be resolved mechanically)
    pip3 set up boto3 -t $LIB_DIR
    cd boto3-mylayer 
    zip -r /tmp/boto3-mylayer.zip .
    LAYER=$(aws lambda publish-layer-version --layer-name boto3-mylayer --zip-file fileb:///tmp/boto3-mylayer.zip)
    LAYER_ARN=$(jq -r '.LayerVersionArn' <<< "$LAYER")
  2. Implement the next instructions to create your Lambda perform deployment package deal
    cd /dwelling/cloudshell-user
    contact lambda_function.py
    cat > lambda_function.py <<EOF
    import json, boto3
    from datetime import datetime
    iot_wireless_client = boto3.shopper('iotwireless')
    iot_data_client = boto3.shopper('iot-data')
    def lambda_handler(occasion, context):
        iot_wireless_response = iot_wireless_client.get_position_estimate(Ip={ 'IpAddress': occasion['ipAddress']}, Timestamp=datetime.now())
        print(f"IoT Wi-fi Response: {iot_wireless_response}")
        iot_data_response = iot_data_client.publish(
        print(f"IoT Information Response: {iot_data_response}")
    zip -r lambda_function.zip lambda_function.py
  3. Implement the instructions beneath to create your Lambda perform and add the Boto3 Lambda layer to it
    LAMBDA_FUNCTION=$(aws lambda create-function --function-name ipAddressToDeviceLocationServiceFunction 
    --zip-file fileb://lambda_function.zip --handler lambda_function.lambda_handler --runtime python3.9 
    --role arn:aws:iam::$ACCOUNT_ID:function/lambda-ex-ipAddressToDeviceLocationService)
    LAMBDA_ARN=$(jq -r '.FunctionArn' <<< "$LAMBDA_FUNCTION")
    aws lambda update-function-configuration 
    --function-name ipAddressToDeviceLocationServiceFunction 
    --layers $LAYER_ARN

    Use the add-permission command to permit AWS IoT Core to invoke the Lambda perform

    aws lambda add-permission --function-name ipAddressToDeviceLocationServiceFunction 
    --statement-id iot-events --action "lambda:InvokeFunction" --principal iot.amazonaws.com

Step 3: Create an AWS IoT Rule

You’ll create an AWS IoT Rule use the instructions beneath from the AWS CloudShell session:

  1. Create the rule utilizing the create-topic-rule command
    ( jq -n 
        --arg lambda_arn "$LAMBDA_ARN" 
            "sql": "SELECT * FROM "machine/+/location/ipbased"",
            "ruleDisabled": false,
            "awsIotSqlVersion": "2016-03-23",
            "actions": [{
                "lambda": {
                    "functionArn": "($lambda_arn)"
        }' ) > iot_rule_document.json
    aws iot create-topic-rule 
    --rule-name "ip_address_to_device_location_service" 
    --topic-rule-payload file://iot_rule_document.json

Step 4: Viewing machine location utilizing the AWS IoT MQTT shopper

To view MQTT messages within the MQTT shopper do the next:

  1. Within the AWS IoT console, within the left menu, below Take a look at, select MQTT check shopper.
  2. Within the Subscribe to a subject tab, enter the subject machine/test-1/location/ipbased/response after which select Subscribe
    Figure 2 – Publish to a topic screen in MQTT test client

    Determine 2 – Publish to a subject display screen in MQTT check shopper

To publish a message to an MQTT subject do the next:

  1. Within the Publish to a subject tab, enter the subject machine/test-1/location/ipbased after which enter the beneath JSON because the Message Payload
    • { "ipAddress": "<replace-with-public-ip-address>" }
  2. Hit Publish to publish your message
    Figure 2 – Publish to a topic screen in MQTT test client

    Determine 2 – Publish to a subject display screen in MQTT check shopper

The output from the publish request ought to look much like the next:

  "location": {
    "coordinates": [
    "sort": "Level",
    "properties": {
      "nation": "United States",
      "metropolis": "New York",
      "postalCode": "*****",
      "horizontalAccuracy": 20,
      "horizontalConfidenceLevel": 0.67,
      "state": "New York",
      "timestamp": "2023-01-04T20:59:13.024Z"

Cleansing Up

You’ll want to take away the sources created on this weblog to keep away from prices. Run the next instructions to delete these sources:

  1. aws iot delete-topic-rule --rule-name "ip_address_to_device_location_service"
  2. aws lambda delete-function --function-name "ipAddressToDeviceLocationServiceFunction"
  3. aws iam delete-role-policy --role-name "lambda-ex-ipAddressToDeviceLocationService"  --policy-name "lambda-ex-ipAddressToDeviceLocationService-policy"
  4. aws iam delete-role --role-name "lambda-ex-ipAddressToDeviceLocationService"


On this put up you realized the way to get began with the brand new AWS IoT Core Gadget Location function, key  steps to take earlier than utilizing the function, and knowledge that can assist you resolve your machine’s location primarily based on solely its IP deal with. Along with resolving your machine’s location utilizing this function, it’s also possible to benefit from the Amazon Location Service to trace the machine’s location on a map. For a extra in depth take a look at growing with the AWS IoT Core Gadget Location function, please check out the developer information and watch Ship Geo Coordinates from IoT Units to Amazon Location Service with the AWS IoT Guidelines Engine.  In case your utility makes use of AWS IoT Core for LoRaWan please check with this weblog put up for extra info, Introducing the brand new AWS IoT Core Gadget Location function to assist Asset Monitoring options.

In regards to the authors

Yuri Chamarelli  is an Amazon Net Companies Answer Architect (AWS) primarily based out of the US. As an IoT specialist, he focuses on serving to clients construct with AWS IoT and achieve their enterprise outcomes. Yuri is a Controls engineer with over 10 years of expertise in IT/OT techniques and has helped a number of clients with Industrial transformation and Industrial automation initiatives all through many industries.




Nicholas Switzer is an IoT Specialist Options Architect at Amazon Net Companies. He joined AWS in 2022 and makes a speciality of IoT and Edge Computing and works with clients within the linked product house. He’s primarily based within the US and enjoys constructing sensible merchandise that enhance on a regular basis life.


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