Performance indicators of information interaction in the Internet of Things
The Internet of Things network is considered, the nodes of which – smart things – interact with each other using wireless communication technologies, are able to move in space, are characterized by spatial coordinates and autonomous power supply. Significant differences are established between the requirements for the functioning of infrastructure networks and networks of the Internet of things in terms of the three types of physical resources they use: spatial, temporal and energy. It is shown that these differences, along with the specifics of subject areas of application, significantly affect the efficiency indicators of the process of information interaction of smart things within the network and with the external environment. A classification of performance indicators for the process of functioning of Internet of things networks is proposed, created taking into account the physical resources consumed by them. To assess the effectiveness of the process of information interaction in the Internet of Things, probabilistic characteristics are introduced, such as, for example, the coverage area and location density of smart things, the power of interaction signals and the remaining battery charge, the delivery time of messages between network elements, as well as the time spent on individual stages the process of transmitting messages. Models are presented that allow not only to evaluate performance indicators that summarize the introduced characteristics, but also to study the mutual influence of probabilistic-spatial, probabilistic-temporal and probabilistic-energy indicators of the effectiveness of the information interaction process on each other.
Authors: N. A. Verzun, M. O. Kolbanev, A. A. Romanova
Direction: Informatics, Computer Technologies And Control
Keywords: infrastructure networks, Internet of things, information interaction of smart things, information interaction efficiency indicators, probabilistic-spatial indicators, probabilistic-temporal indicators, probabilistic-energy indicators
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