IoT Edge Network – For a long time, IOT was revolving around the concept of centralized data storage with the cloud as its foundation. Then there was this swing to decentralized edge computing where the data is generated at the Edge. The idea of Edge was promising where the latency and cost of cloud computing can be addressed with the data processing at the Edge.
Internet of things is all about data; the data generated by the millions of sensors from every walk of life is humungous. As the connected device growth is exploding, so is the data generated by these devices. These data were pumped to the cloud, and the infrastructure built around the cloud was designed to handle the large volume of data in real-time, process, and synthesis them in real-time.
As the concept of edge computing started catching fire, there were the questions of the value of sending all these data gathered every second by the edge devices to cloud arose. Hence the cost and time saved by synthesizing them at the Edge became promising.
However, the question remains how reliable and efficient are the edge network to support the large volume of data from the IOT sensors and real-time processing demand from the internet of things.
Networks requirements for Edge computing
IOT devices are deployed in many different locations, factories, streets, industry, cars, home. These sensors are collecting data at the remote network, and they are usually low power devices. Also, the sensors collecting the data in an IOT are traditionally distributed and in a remote location. The network used in these remote locations are slow, and high energy consumption device. The edge computing drives the data processing closer to the sensors for real-time actions, and some of this data needs to be sent to the cloud. The network connecting devices need to have the ability to process the large volumes of data and also be able to join the numbers of sensors in the locality for Realtime processing and action. These networks need more throughput and processing power — these existing network, like 4G fall short of the demand of the IOT.
What is required for edge computing is a cost-effective, highly available, low latency network that can lead the adoption of IOT in a more comprehensive and quicker format.
IOT and 5G
Though 5G was developed to meet the demand of the internet and mobile explosion, one technology that’s poised to take the great benefit of the 5G will be edge computing on the internet of thing.
The 5G network provides ten times faster speed and has more processing power. 5G for IOT does not only address the connectivity issues for billions of IOT devices; it also can handle the massive volumes of data generated by the IOT device. The number of devices supported by 5 G network is multiple times more than the 4 G network.
These capabilities of 5G are what is needed to meet the growing demands of IOT devices. 5G will become the linchpin of the IOT growth and expansion
Are the networks ready?
IoT Edge Network – While there have been several rollouts of 5G network by different players and continued interest and investment in the technology, these are still in their early deployment phase. There are still gaps in hardware/ software readiness, test completion, and broader adoption of the 5G networks in the mainstream. So it remains for observance whether IOT will wait out the adoption of 5G in mainstream or will charge forward in parallel with 5G.
- Mobodexter, Inc based in Redmond, WA builds IoT Edge solutions for enterprises applications on Kubernetes & Dockers.
- Register now at developers.paasmer.co and try a free Edge trial license of Edge Intelligence software that runs on Raspberry Pi.
- Follow our all our weekly IoT Blogs: https://api.mobodexter.com
- Our IoT Newsletter reaches 3000+ subscribers– Subscribe Now.