IoT Network refers to the communication technologies used by Internet of Things (IoT) devices to share or spread the data to other device or interfaces available within reachable distance. There are various types of IoT networks available for IoT devices / IoT sensors to communicate. It is critical to choose proper networking protocol for given requirements in order to be able to collect data at real-time and access insights through IoT applications.
This technical reference book will explore various types of IoT networks available for IoT implementation and selection strategy.
As the industry revolutionizes with changing times, the current industry 4.0 is a recipient of advancement in telecom technology that has innovated the IoT (Internet of Things). The IIoT (Industrial Internet of Things), a sub-specification of the IoT is designed to facilitate industry automation and enable Smart manufacturing. IIoT focuses on parameters exclusive to the manufacturing industry and therefore exhibits potential growth, production, optimization and maintenance of industrial outputs and equipment, respectively. At the heart of IoT technology for industries, the choice of network plays a vital role in the success of IIoT with Smart Manufacturing. Let’s explore wireless networks for smart manufacturing.
In order to wisely choose which network appropriately supports the needs of an industry, it is advised to stay informed on network layers in the IoT space. IoT includes a lot of machine communication, device identification and communication, along with active machine learning tools for data analytics and therefore a robust network is required to support the same.
Owing to facilitate your understanding, here is a structure that pictures the network layering in IoT technology:
The first links layer is in line with the industry standards like that of IEEE 802 MAC and IEEE 802 PHY dealing with local and metropolitan area networks. It is restricted to short data transmission of uniformly sized cells. The next layer is the internet layer (IPv4/IPv6/IP Routing) that is internet-ready connected devices / systems that communicate within internet connected domains with the help of a device unique identification. Following the internet layer is the transport layer consisting of TCP/UDP/DTLS/HTTP over wire helps communicate between systems as part of transportation principles and protocols. At the apex is the application layer which accommodates industry standard approach like MQTT, CoAP, API for application communication between devices / systems.
From RFID scanning and communication to Bluetooth (BLE/NFC) data communication, progressive standards are being introduced for sophistication. Though BLE/NFC are mobile phone operation centric, there are other network protocols that serve the purpose of IoT deployment in line with industry pre-requisites. IoT deployment is supported by cellular (2G, 3G, 4G & 5G) network protocols along with WiFi / LoFI by providing efficient local area networking of short range among devices and internet access.
MESH protocols made up of radio nodes organized in a mesh topology connects devices and nodes for data transfer and communication that can be opted in IoT deployment based on the need of customers. The LPWAN (LoRa, sigfox) is a futuristic invention that refers to Low Power Wide Area Network that lowers power consumption while offering advanced network for connectivity. It is designed to facilitate long range wireless communications at a low bit rate among connected devices / systems.
IoT Network Spec | LTE-M / NB-IOT | LoRa | Sigfox | Cellular (3G/4G) |
|---|---|---|---|---|
Specification | 3GPP | LoRa-Alliance (Open) | Sigfox (Private) | 3GPP |
Spectrum | Licensed | Unlicensed / Free | Unlicensed / Free | Licensed |
Bandwidth | 180 Mhz | 125 - 500 Khz | 200 Khz | 5Mhz - 20Mhz |
Data Rate | 200+ Kbps | 27 Kbps | 600 dB | 380+ Kbps |
Payload per day | Unlimited | Low | Low | High |
Power Consumption | Medium | Low | Low | High |
App Usage | Frequent Data | Frequent Data | Periodic Data | Streaming Data |
The above image indicates comparison of types of IoT networks specification between 4 large competitors across the globe for IoT deployments. Note that these are open specifications and it varies from providers to providers. The left side of the image indicates IoT network specification and the subsequent 4 columns indicate the wireless network providers. There are restrictions pertaining to the network service providers and what it offers, but it can be tailored to suit particular industry needs.
Of the 5G network revolution, there are 3 crucial aspects considered for the deployment of IoT in the manufacturing industry. Bandwidth of data, speed of data transfer and battery life of IoT devices are most relevant to IoT deployment.
Since IoT deployments are usually remote, higher bandwidth, more speed for real-time data transmission is a mandatory requirement, fortunately 5G network is much advanced in these fields and therefore smoothens IoT deployment and functioning in manufacturing industries between remote units and production centers. Though currently 5G network is cellular based, owing to meet IoT standards with 5G network would require much more accessibility points across the globe. In the futuristic perspective, 5G wireless network broadens IoT prospects with its features to support smart industries, smart home and smart buildings.
Smart Manufacturing Use Cases | Data Rate | Network Required |
|---|---|---|
Predictive Maintenance | High Volume Data by Machines | Higher Data Rate / Unlimited |
Addictive Production | Bigger Size Data Feeding | Higher Volume |
Asset Performance Optimization | High Volume Data by Asset | Higher Volume |
Remote Services | Streaming Data to Command | Higher Data Rate / Unlimited |
Quality Control & Analysis | Moderate Data by Hour | Low Volume |
Inventory Optimization | Moderate Data by Hour | Low Volume |
Human Robot Collaboration | Streaming Data to Command | Higher Data Rate / Unlimited |
The above mentioned use case specifications are central to smart manufacturing. Example: Features like predictive maintenance that predicts machine work optimized duration and schedules down-time requires high volume of data transmission at real-time by machine condition monitoring to perform prediction. As a result, it demands higher data rate at unlimited service. Likewise, the image helps read and analysis similar use case specification, data volume and required network type.
A similar ‘Decision Tree’ can be sketched, primarily keeping in mind, the deployment location. Once the location (remote, accessible) is noted, the availability of power supply is to be assessed. Following which, data traffic assessment can be made pertaining to volume of real-time data to be transferred. Depending on the data, number of required nodes can be established and the wireless network can be opted accordingly. Using the above image as a model, a customized ‘Decision Tree’ can be prepared.
Fogwing Industrial IoT Platform is the No Code Device Management Solution for rapid IoT projects. Just start your IoT project with no major investment.
Try it for free . No Credit Card Required.
In the fast-paced manufacturing world, success is measured by more than just production numbers. Reliability and maintainability are key factors that can make or break a company’s long-term success. Without them, even the most impressive machines and skilled workers will eventually falter. In this blog post, we’ll explore why reliability
Any manufacturing facility should be efficient enough to manage a large volume of inventory in raw materials, finished goods or products, and other packing materials to operate production seamlessly. A Bill of Materials, or BOM preparation, is necessary for any manufacturing or production process as it confirms all the necessary
The manufacturing enterprises has undergone a massive transformation in recent years with the help of smart factories. These cutting-edge facilities use advanced technologies like Internet of Things (IoT) devices, artificial intelligence (AI), robotics, automation, big data analytics, augmented reality (AR), and virtual reality (VR) to improve efficiency, quality, and safety.
