What is the Real-Time Monitoring of IoT Devices?

We use IoT devices in our daily lives. But can we monitor the IoT devices in real time? Yes, it is now possible.

The real-time monitoring of IoT devices with data analytics guidance automatically provides the services necessary for collecting, analyzing, and processing activity data in real-time. This guidance is drawn to deliver a framework for visualizing and analyzing metrics. It also allows you to add new metrics rather than managing the underlying infrastructure.

Thus, IoT monitoring is evaluating, discovering, managing, and monitoring the devices connected to the internet. It permits the real-time overseeing and data gathering of the interconnected device’ performances, functionalities, and troubleshooting.

Architecture for Remote Monitoring of IoT Devices

  • Amazon DynamoDB stores device information and simulation.

  • Amazon ECS tass runs on AWS Fargate for sending messages and stimulating devices.

  • Simulators forward sensor data to AWS IoT Core.

  • A preconfigured IoT rule subscribes to the sensor data topic and forwards the data to AWS IoT Analytics.

  • Amazon QuickSight drags data from AWS IoT Analytics materialized views to display visualizations and dashboards.

  • A preconfigured IoT rule subscribes to the sensor data topic and forwards the data to AWS IoT Events to detect whether the sensor is in an error state.

  • On detecting an error state, AWS IoT events solicit an email notification to the subscribers through the Amazon Simple notification service.

Working on Real-Time Monitoring of IoT Devices

When AWS IoT absorbs data from the connected devices, an AWS IoT rule forwards the data to the kinesis data delivery stream. The delivery stream records the events in an Amazon S3 Bucket and delivers the data to a kinesis data analytics application processing.

The application forwards the data to an AWS Lambda function in real time to a DynamoOB table to be stored. This application also delivers data to a second kinesis data delivery stream which records it in an Amazon S3 bucket.

This guidance also creates an Amazon CloudFront distribution, an Amazon S3 bucket, an Amazon Cognito, and a real-time dashboard to securely read and present the account activity stored in the DynamoDB table.

One of the most used prolific types of IoT devices is a security camera. Devices that work alone are good time savers because you can leave them to complete the task they are designed for. But remotely located devices with no manual operation still need to get monitored, and the perfect way to do that is to deploy an automated monitoring tool.

Remote monitoring of IoT devices captures all relevant operational or consumption data to detect problems before they arise through low-cost sensor technology. Low-power devices don’t require a power connection and a network cable. Battery-powered sensor technology can gather and transmit operational data over long distances and for many years from large factory sites and deep basements.

IoT platforms deliver real-time monitoring of metrics such as the number of upstream and downstream messages, the number of online devices, device network status, and the number of messages sent forward by the rules engine. In addition, you can control the IoT platform data by setting alert rules in Cloud Monitor.

Use IoT Platform to Control and Monitor Resource Usage

IoT platform controls and monitors network status and device data. The monitoring is displayed on the real-time monitoring page.

Network Status of the Device

You can monitor the devices whose network connection method includes wifi to give the network status data. When the device submits data, you can now view the network error messages and the network status of the devices on the device network status tab of the real-time monitoring page. You can identify a device name and the time range for a query. The display network status data of devices concludes received signal strength (RRS), packet loss rate, signal collection time, and signal-to-noise ratio (SNR). You can watch and view the device network status to get more information.

Device Data Metrics

The following metrics are in the console: messages sent from the IoT platform, messages sent to the IoT platform, messages forwarded through the rule engine, and online devices.


Forward Notification

Remote monitoring of IoT devices absorbs real-time device data from IoT devices to access each device's state and forward notifications if there are any out-of-range data or data transmission issues.

Automatic Alerts

Remote monitoring of IoT devices utilizes AWS IoT events to gather, analyze, and detect faults and suboptimal performance to produce real-time events. These events are used for maintenance requests for that device and invoke actions to automate diagnostics and automatic alerts.

Control the Health of your Assets

Remote monitoring of IoT devices delivers a framework for gathering diagnostic information for deriving outcome-oriented insight about your assets and health.

Below is the list of the seven IoT monitoring tools

  • SkySpark

  • TeamViewer

  • AWS IoT Devices management

  • Senseye PdM

  • Splunk Industrial for IoT

  • Datadog IoT monitoring



Thus, we understand that IoT devices have increased for a reason. Now, we don't have to wait for data to reach us. We can constantly monitor the data through IoT devices and get accurate real-time data. It becomes easier for us to analyze the data immediately and take action.

Moreover, through its process, we can also know if any errors or problems are going through the sensors. It is very beneficial as it allows us to prevent problems before they arise. Thus, because of its benefits, we see the use of IoT devices for real-time monitoring only increasing in the future.

Updated on: 13-Feb-2023


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