What is an Internet of Things Platform?
IoT platform: definition & overview
In the maelstrom of terms and definitions whirling around the booming phenomenon of the Internet of Things, it is easy to get things twisted and miss the point. To understand the whole idea of IoT, it seems indispensable to get to know the key technological concept at its heart, which is an IoT platform. This article will help you to wrap your head around the question of ‘What is an IoT platform?’.
Basically, it can be said that an Internet of Things platform is the main place where the actual IoT magic happens. An IoT platform is at the heart of every IoT deployment, bringing together the hardware, connectivity, software and application layers to offer an efficient solution for device management and configuration, data collection and analysis, enablement of applications as well as connection with the cloud or on-site server. But before we go into the details behind the Internet of Things platform, let’s have a look at the basic components that make up every professional IoT system.
- connected devices – these are machines, sensors, actuators or other connected gear intended to perform given actions, including but not limited to: collecting data from the environment, communicating with one another, carrying out operations, transmitting and receiving data to/from the server/cloud.
- connectivity solution – based on telecommunication networks, this is the channel through which the devices ‘talk’ to one another and communicate with / receive commands from the server/cloud. Depending on the given IoT project’s requirements and limitations, the connectivity solution provided must offer features that best address them. Among these are: reliability, network agility, security, as well as other performance parameters such as power consumption, range, and bandwidth.
- data processing software – hosted in the cloud or on an on-site server, the software collects the data sent by the devices, analyses it and makes independent decisions about actions to be performed within the IoT system.
- user interface / application – providing the user an insight into the workings of the whole system and offering ways to interact with it, the main task of the application layer is to visualise the information received from the software and present it in a user-friendly way.
Often referred to as IoT middleware, the Internet of Things platform is a mediator between the application layer and the hardware. Generally, the main purpose of an IoT platform is to overcome the obstacles that exist between the individual layers of technology (including lack of interoperability, standardization, security and others) and combine them to ensure their efficient and seamless cooperation.
IoT platform: key features
Given the fact that the world of IoT is almost as fragmented as it is boundless, the Internet of Things platforms have evolved into many different types of solutions to address the heterogeneity and diversity of demands of specific IoT-powered industries. Therefore, IoT platforms can be characterised and assessed according to some general features that they represent. Taking into account the main factors that may affect the performance of a given IoT platform, such as scalability, ease of use, security or interoperability, the following categories can be distinguished:
Scalability: the most advanced Internet of Things platforms allow scalability at any endpoint the client may need, offering the maximum performance of device connectivity regardless of the circumstances.
User-friendliness: this criterion about the IoT Platform is often closely related to the flexibility of the integration APIs and the ability to control the code. This feature of the IoT platforms is essential for all those developers who need to customize some of the functions of the device and its applications or, on the contrary, develop additional modules.
Interoperability & integration: designed to work in heterogeneous real-life IoT ecosystems, every IoT platform by its very nature has to support hardware and software-agnostic features. In other words, inevitably it has to provide possibilities for an effective handling of multiple types of devices over multiple types of communication protocols to feed data into the cloud or in-house servers. Handling a variety of hardware and software communication protocols is essential in every professional IoT deployment.
Implementation options: deploying the IoT Platform technology is an important point for any company, hence it should give the possibility to be deployed in the cloud or, if you want to ensure greater privacy, in an on-site server.
Data security: this criterion includes the encryption of the information transmitted between the devices and the server via a variety of communication channels, the control of user access as well as the ownership of the processed data. What poses a great challenge nowadays in terms of IoT data security is the lack of over-the-air update functionalities in some older IoT systems.
IoT platform: examples
It is generally agreed that the number of Internet of Things platforms on the market has already exceeded 300. In the sea of choices, enterprises have to focus on their individual business needs and make an informed decision on the basis of a thorough analysis of the products offered on the market, which isn’t a simple task given the diversity and multiplicity of the solutions.
With that said, it is essential to realise that it is device management that is a central part of every IoT ecosystem. In this regard, it can be safely assumed that there is a leading solution available in the market enabling a comprehensive and best-of-breed solutions, which is represented by the AVSystem’s product portfolio: Coiote IoT Device Management and Coiote IoT Data Orchestration.
Recognized as a leading IoT device management vendor in MachNation’s 2018 IoT Device Management Scorecard, AVSystem offers large-scale LwM2M device and service management solutions for Telco operators and enterprise markets. Coiote IoT Device Management platform is able to cater for the needs of every enterprise involving resource-constrained devices and is the best example of an IoT platform.
Offering best-of-class solutions, it is an answer to today’s demands and challenges faced by the industry:
- Deployment speed: thanks to the possibility of device seamless connection and out-of-the-box configuration along with the LwM2M standard-based architecture, time-to-market for any IoT deployment is significantly reduced.
- Scalability: with proven scalability for millions of connected devices, AVSystem’s Coiote IoT Device Management offers support and management for a number of devices which is only limited by the extent of the IoT ecosystem itself. Depending on the current business need, the platform can be easily scaled up or down.
- Interoperability: Coiote IoT Device Management supports the LwM2M protocol which offers interoperability thanks to a well-defined data model. However, to guarantee that any sensor or other connected object is able to operate with any service, application or device, the industry needs more than that. Supported by default by the Lightweight M2M protocol, the IPSO Smart Objects respond to this challenge by providing a common design pattern, fully reusable resources and the capability of being easily adjusted to new use cases.
- Security: Based on the secure Datagram Transport Layer Security protocol (DTLS), the LwM2M standard ensures top-notch security for every IoT system operated by Coiote IoT Device Management. Moreover, addressing security challenges related to the lack of device software and firmware updates, such an IoT platform implements SOTA & FOTA updates to overcome the problem of security gaps brought about by outdated device software.
The main task of Coiote IoT Data Orchestration is to integrate the existing IoT ecosystem infrastructure to provide cutting-edge data processing, presentation, reporting and integration functionalities regardless of system or data source variability. As such, it is able to work as a standalone IoT platform, in-house installed solution or can be hosted in the cloud. Thanks to the platform’s wide range of customization options, including the building of customizable dynamic dashboards, the user is able to view all the IoT data in one place, decide on how the data is displayed and design his own data flow.
Combining all the benefits of Coiote IoT Device Management and Coiote IoT Data Orchestration, the Coiote IoT product suite offers remote device configuration and bulk management, along with the SOTA functionality and collection and presentation of telemetry data. What is more, Coiote IoT uses the capabilities of Coiote IoT Data Orchestration to propose end-to-end service activation, advanced data integration and aggregation possibilities, along with geo-fencing and map visualization, among many other features. Teamed up together, the advantages of both Coiote IoT platforms provide a comprehensive, customizable and fit-for-purpose tool set for IoT device and data management.