Information, mathematical, and algorithmic support for the architecture of the cognitive internet of things for information, measurement, and control systems

Аuthors

Somov A. S.

Skolkovo Institute of Science and Technology, Moscow, Russia

e-mail: a.somov@skoltech.ru

Abstract

The article performs the analysis of the practical aspects for creating a prototype of architecture for the cognitive internet of things to create automation tools for intelligent monitoring of the natural environment. A number of information technologies are proposed for the implementation of three levels of architecture: the service level, the level of virtual composite objects and the level of virtual objects. A mathematical model of fulfilling a service request is demonstrated by searching and selecting virtual composite objects and corresponding virtual objects, which are created from real-world objects. To provide a sequence of actions for executing a service request, an algorithm for bootstrapping the cognitive internet of things architecture and an algorithm for launching the virtual composite objects are shown. Timing analysis for addressing the service request and creating virtual composite objects given the number of available virtual objects is provided. The developed architecture of the cognitive internet of things was applied on an unmanned aerial vehicle for aeromonitoring of the Sosnovsky hogweed.

Keywords:

algorithms, aerial monitoring, UAV, drone, Internet of Things (IoT), information and measurement systems, intelligent systems, artificial intelligence, mathematical model, sensor suite, software system

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