The Role of Edge Computing in IoT Application Development

The Internet of Things (IoT) consists of smart devices linked to a network, enabling them to exchange large amounts of data with other devices. This data can then be analyzed and reused. Edge computing, a method used in IoT applications, involves processing data at the location where it is collected or used. This allows for data to be gathered and utilized at the edge, eliminating the need to send it back to a central datacenter or cloud. By combining IoT and edge computing, data can be quickly analyzed in real-time.

What is the Role of Edge Computing in IoT Applications?

The Internet of Things (IoT) refers to the process of connecting physical objects to the internet. It encompasses any system of physical devices or equipment that can send and receive data over networks without human intervention. In an IoT system, data is continuously transferred, collected, and analyzed in a feedback loop. This analysis can be done by humans or by artificial intelligence and machine learning, either in real-time or over an extended period. When something is referred to as “smart,” it generally implies that it is related to IoT. Examples include self-driving buses, smart homes, smartwatches, virtual and augmented reality, and artificial intelligence.

Edge computing in IoT applications occurs at or near the physical location of the user or the source of the data. By placing computing services closer to these locations, users benefit from faster and more reliable services, resulting in a better user experience. Companies benefit by being better equipped to support operations that require low latency, identify trends, and provide improved products and services. Edge computing allows a company to use and distribute a shared pool of resources across multiple locations, helping to create a more decentralized structure to accommodate the increasing number of devices and data.

How are IoT and Edge Related?

The Internet of Things (IoT) benefits greatly from having computing power located closer to where the physical devices or data sources are present. This allows for quicker responses and helps in resolving issues efficiently. Instead of sending data back to a central location for analysis, edge computing enables the analysis to be done at the edge, where the data is generated. Edge computing acts as a primary source for processing and storing the data and computational needs of IoT devices. 

There are several advantages of combining IoT and edge computing:

  1. Reduced latency in communication between IoT devices and central IT networks, leading to faster response times and improved functionality.
  2. Enhanced network bandwidth utilization.
  3. Continuous operation of systems even when there is no network connection available.
  4. Real-time data processing, aggregation, and quick decision-making using analytics algorithms and machine learning.
  5. An IoT gateway can transmit data from the edge to the cloud or centralized datacenter, or back to the edge systems for local reuse.

Practical Applications of Edge Computing in IoT

Industrial IoT, or IIoT, involves the application of IoT technology in artificial environments, such as within machinery in a manufacturing plant. Consider heavy machines within a plant that undergo wear and tear over time, leading to breakdowns as a normal part of operations. By integrating IoT sensors into parts of these machines that are prone to failure or excessive use, data can be collected and utilized for predictive maintenance, ultimately reducing downtime.

The example of autonomous vehicles highlights the necessity for IoT outcomes and edge computing to collaborate effectively. An autonomous vehicle on the road must continuously gather and process real-time data about its surroundings, including other vehicles, pedestrians, road signs, and traffic lights, while also monitoring its own systems. Transmitting this data back and forth between the vehicle and the cloud for processing would be too slow in situations where the vehicle needs to react quickly to avoid accidents. Edge computing in IoT applications brings cloud services directly to the vehicle, enabling the onboard IoT sensors to process and utilize data locally in real-time, helping the vehicle make split-second decisions to prevent accidents.

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Edge Computing Use Case

Edge computing devices bring storage and computing capabilities closer to where they are needed. So far, edge computing Internet of Things (IoT) has benefited various sectors. Here are some examples of edge computing use cases that will provide you with a clear understanding of the industries currently benefiting from the results of IoT-enabled edge computing.


In the healthcare sector, there is a significant amount of monitoring software that collects vast amounts of data that is revealed and must be stored on a third-party cloud service. This has become a major concern for healthcare professionals. To address this issue, businesses have begun integrating IoT edge computing devices into healthcare software development. These devices help maintain data security and provide real-time updates to interpreters.

Transportation & Logistics

Manual transportation and logistics services require energy, manpower, and incur costs. To minimize these expenses, autonomous vehicles are a practical solution. They not only save on fuel costs but also help reduce traffic congestion. With the advancements in edge computing technology, it is now possible to eliminate the need for human drivers and make vehicles fully autonomous.

Oil & Gas

Oil and gas industry is a large sector, and the need for online delivery of oil and gas energy is increasing every day. In response to this, businesses are using edge computing IoT solutions to enhance the effectiveness and success of their oil and gas software.

There are real-life examples of businesses achieving success by implementing edge computing IoT solutions. The benefits of edge computing are significant in the oil and gas industry, allowing businesses to improve their operations and reach new levels of success. Businesses should consider incorporating edge computing into their operations to maximize their potential for success.

Final Studies

In simpler terms, the Internet of Things (IoT) has become a crucial part of modern industry and business. It involves connecting devices to the internet to gather and share data, enabling things like smart infrastructure and real-time monitoring. This technology is supported by IoT, making internet access increasingly important. Edge computing is a way to process data closer to where it’s generated, reducing delays and improving connectivity. This helps businesses protect their networks and data from cyber threats.

If you want to take advantage of these technologies, consider getting professional IoT development services to boost sales and profits through IoT-enabled edge computing solutions.

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