What is an IoT platform? What is an IoT platform architecture?

Are you looking for a cost-effective and scalable IoT solution to implement into your business?

Have you ever wondered what enables systems like AWS, Google Cloud Platform, or Microsoft Azure IT to build their empires? Reading this post will explain how they grew their businesses and how IoT Platforms will also help you grow.

What is an IoT platform? And, what is an IoT platform architecture?

IoT platform refers to an infrastructure of IoT elements, including gateways, sensors, actuators, communication protocol, cloud server setup, and end-user application interface. With the rapid growth in the industry, there are many different ways to implement an IoT platform. IoT platform architecture refers to carefully designing an IoT platform with each layer of the system.

This post will provide you with a clear notion of the four major steps of IoT architecture. Stay until the end: we will provide you the three main keys of the value of incorporating a seamless platform architecture in any IoT system, and resources on how exactly do it in yours.

What are the 4 stages of IoT architecture?

The four layers of an IoT architecture are bifurcated based on the activities performed in that layer. Here is an overview of 4 stages of IoT architecture in chronological order:

1. Actuators & sensors

The first layer of IoT platform architecture includes actuators and sensors that interact with real-world elements. Sensors are responsible for detecting instances and capturing real-world data such as temperature, humidity, and many others for IoT systems. On the contrary, actuators like motors, relays, and switches can apply remote IoT instructions to real-world actions.

2. Internet gateways and data acquisition systems

As the name suggests, this second stage covers data acquisition systems where the real-world data is converted into a digital format for the IoT platform to use it. Such data is then shared to the internet through an internet gateway. This internet gateway acts as a bridge allowing sensors and actuators to connect to the internet.

3. Edge IT data processing

Edge processing allows the IoT platform to find useful data in massive datasets and condense the insights rather than sharing the whole data from sensors to the cloud. This eliminates the need for massive transmission bandwidth and storage capability.

For example, instead of sharing regular sensor data at every instance, edge processing only shares the data instance of an alert event to the cloud.

4. Cloud data centers and analysis

The last stage of a platform architecture is the cloud data center. That’s where the entire IoT ecosystem data is stored, managed, and analyzed to derive useful insights. Through AI or detailed research, such data is translated into actionable insights. Based on these insights, actuators can be controlled, or users can be notified.

Why do you need an IoT architecture?

Every stage of an IoT platform architecture is essential for a successful IoT architecture. Some of the reasons why you need a solid IoT architecture for your system include:

  • Scalability
    A large IoT platform can consist of hundreds of devices with different applications and needs. It is very important to evaluate the hardware & software specifications and network infrastructure to ensure that such a vast system can grow and scale over time.
  • Cost-effectiveness
    A proper IoT architecture can help reduce the costs of the system by ensuring that the data is captured at the right intervals, only the essential data is sent, and the right communication layer is there. Every aspect of these system components is considered to be a part of IoT platform architecture.
  • Interoperability
    A great IoT platform architecture is aligned with existing resources and has foreseen potential upgrades down the road. It is important to have an architecture that doesn’t need to be changed drastically at every period of time.

IoT Management Platform for your business

IoT platforms provide a seamless experience to create, manage, and correlate multiple IoT devices. They are equipped with advanced machine learning algorithms and a cloud-based analytics system that enable users to get real-time insights from their data. Freeeway has pioneered in bringing world-class IoT platforms to life. Whether you are evaluating your ideal IoT architecture or you’re interested in gaining more insight on how it will benefit your business, don’t miss the opportunity to jump right into the most prosperous IoT train!

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