GlobalData’s research indicates that there are six significant markets for IoT, each defined by its own characteristics:
Industrial Internet of Things
Much of the value derived in the IoT however has so far been vested in industrial applications. This is not the flashy multicolored world of the smart home – it’s the domain of grime covered machinery, dust, and dirt.
The bulk of the economic value driven by IoT deployments moving forward will come from the incremental improvements in cost and reliability that instrumentation can deliver within an industrial context.
Security must also be an integral component and will become more critical as IoT moves to the cloud. Industrial IoT (IIoT) can provide many benefits, but operational efficiency and enhanced insight remain the key goals of today’s deployments, while cost reduction and new revenues currently trail.
Edge Computing is being trumpeted as a key enabler for such insight and agility while reducing the number of required devices in remote sites.
Role of Devices Deployed
GlobalData’s IoT tracker database shows that 65 percent of the devices deployed in the past 3 years have been for monitoring, while 17 percent are performing both monitoring and some level of control, and 18 percent are deployed in a purely tracking role.
As devices evolve, additional capabilities will be instrumented to help make necessary real-time changes. Nearly all of the deployments included fixed or static devices, while mobile devices are emerging. IoT networks will be required to support additional connectivity needs such as low latency and rigorous timing to ensure high levels of availability and reliability.
IoT Platform Requirements
IoT platforms and gateways need to support application specific protocols in a highly secure environment and leverage the latest in IP technologies, follow similar trends being implemented in current network architectures such as virtualisation and edge computing.
Platforms will also need to support market specific protocols where legacy sensors and devices are present. Gateways and access points will need to be environmentally hardened in many cases and support connectivity over a range from fiber, wireless (LTE) to legacy TDM interfaces.
LTE-M and NB-IoT networks, as well as non-cellular alternatives such as LoRaWAN, are ramping up globally, and represent a clear priority for operators. IIoT platforms must also support low latency and high bandwidth applications, which will require edge computing.
Local and/or remote management demand secure communications connections, resulting in the need for a layered security model to protect all levels of the network from external as well as internal attacks. Typically the use of IPSec and MACsec can be used to ensure the system protects from multiple attacks as noted in the graph below, taken from the energy sector, but applicable across most IIoT use cases.
IoT presents an opportunity for service providers and equipment suppliers to deliver next generation IIoT solutions, which not only replace the legacy systems, but help modernise infrastructures to deliver significant advances in service agility, performance and manageability.
Optimized IoT platforms are addressing key barriers to deployment by improving efficiency, enhancing insight and lowering costs. Advances in network software (network virtualization, edge computing, and analytics) have matured and can effectively support large scale IoT deployment. RAD’s secure industrial IoT backhaul solution, for example, includes security, a range of connectivity options, edge computing and zero-touch configuration to help automate provisioning and installation.
This article was originally posted on the RAD blog corner. Further information about RAD and this article can be found here. This article is from the CBROnline archive: some formatting and images may not be present.
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