Most of the IoT systems are meant for tackling an individual problem by implementing a focus on particular issues that might affect the industry operations. One of the prime reasons for preparing IoT systems to do the needful, which is the pressure-utilization of the organizational resources for productive results. Therefore, it is easy for the developers to work on the existing system feasibly, with the inclusion of IoT.
The primary approach towards streamlining the organizational operations is adding connectivity to the machines or devices. In this process, sensors and machines are programmed to work remotely and implement data gathering. Following that, the organizations connect with a cloud-based system for data management. It will help with data analytics & visualization aspects.
If any of the organization plans out the deployment of IoT systems, they need to look out whether it is unique or has any commonalities. The meaning of commonalities is that there might be a scope of reusing or designing patterns, standards, and architectures.
The IoT deployment rate is growing immensely in the present era. Keeping that in mind, tools and solutions are used for building reusable and interoperable devices for enhanced efficiency. The composition of any IoT system consists of four important components, that include, communication network, connected sensor, housekeeping platform, and a visualization dashboard.
The connected sensor or device is the key to all connectivity aspects of IoT devices. The communications network is the component that provides remote connectivity. The housekeeping platform is meant for carrying out tasks such as registration, security, and device management. The visualization or application dashboard collects and uses IoT data that is obtained from the connected device or sensor.
These components are primarily essential for simple systems, whereas complex arrangements need more of them. Some of the complex IoT systems might demand an intermediate gateway between the silo applications. Different IoT systems use different component mixes, as some use only the open standards, while others mix it up with proprietary technologies.
Analyzing the range of IoT frameworks and architectures is an ideal approach. It can be used for identifying the overlap areas, and it is used to represent interoperability opportunities. The US National Institute of Standards and Technology (NIST) is following this approach upon their research on building IoT systems out of reusable tools.
The research is carried out in the form of common PPI (Pivotal Points of. Interoperability). The concept was then extended by the members of OASC (Open and Agile Smart Cities). They defined the Minimum Interoperability Mechanisms. One of the prime motivations of this approach is to accommodate standards and legacy systems. Hence, the major problem of interoperability gets solved with an immense focus upon the system interfaces.
Few tools that are crucial for making or building IoT systems are registration function, communications management function, device management function, semantic interoperability tool, and service charging and accounting function. These are the reusable tools that can be used for building IoT systems.
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