Preface – This post is part of the Edge Computing series.
Any physical hardware or device system that receives and transmits data via networks without human involvement is an Internet of Things system. An IoT system typically operates by sending, receiving, and evaluating data in a feedback loop continually. AI and ML can perform analysis in near real-time through IoT. When anything is described as smart, IoT is usually implied. In this article, we will grab information about IoT Edge computing.
What is IoT Edge Computing?
Attaching actual physical objects to the internet is known as the Internet of Things (IoT). IoT edge computing is leveraging data processing at the network’s edge to boost an IoT system’s performance. Zero latency is produced by processing data near or at the place of origin. An IoT device that performs time-sensitive tasks may or may not function properly. Enterprise IT can get benefits like quicker and more dependable services, improved client experience, and on-site, real-time analytics.
How IoT and Edge are related?
Edge computing and the Internet of Things (IoT) are related because edge computing solves IoT problems like latency and network congestion. The high density of IoT devices, their performance needs, and the sheer volume of data they produce cause network congestion. The network is under unprecedented stress due to the requirement for low latency and a dependable connection for mission-critical IoT devices.
Edge computing is the practice of placing computing, storage, and networking resources closer to the end user and away from the network core. IoT devices can function without sending traffic to a central data center by deploying resources closer to the IoT devices. Performance is enhanced, and the required bandwidth is decreased as a result.
Advantages of IoT Edge Computing
Low Latency: IoT devices often have low power requirements and limited processing and storage capacity.
Reliability of connections: As IoT devices transition from cool gadgets to vital infrastructure, a dependable connection is essential. Lower operational expenses (OpEx) result from lower bandwidth utilization and fewer data center space requirements.
Security: Higher security since there are fewer connections to the outside world and less space for lateral movement.
Availability: It runs in a situation where cloud connectivity is either spotty or completely nonexistent.
Use case of IoT Edge Computing
Autonomous Vehicles: An autonomous vehicle must decide whether to stop for a pedestrian crossing in front of it. Additionally, vehicles using edge technology can interact more effectively since they can talk to another vehicle.
Medical equipment: Health monitors and other wearable medical equipment can help patients keep tabs on chronic diseases. It can instantaneously notify caretakers when assistance is needed, potentially saving lives.
Security solutions: Edge computing technology can help security surveillance systems by reacting to attacks quickly. Security systems can spot possible dangers and immediately notify users about risks.
Smart devices: These devices can learn to comprehend voice commands as simple orders. Even if internet access is lost, turning on or off lights or changing thermostat settings would still be possible.
Edge computing will spread equally as the IoT does. Reducing latency, lightening the burden on the internet, enhancing privacy and security, and lowering data management expenses are all benefits of being able to examine data closer to the source.