Construction of computing balancing model in the Internet of Things devices system
This article is dedicated to our work in field of research and development of a math model for load balancing in the Internet of things (IoT). Here, we perform analysis and classification of tasks in the IoT devices system. We split subprograms in following systems on balancing and non-balancing. Next, we classify balancing subprograms by different parameters. Then, based on those classifications, we construct model for load balancing in IoT. With that model, in future we can perform modeling IoT devices systems and found pros and contras of each balancing algorithm
The primary purpose of this paper is to provide an overview of existing education solutions for IoT and develop proposals for their improvement. The study draws analysis of current conditions of the educational IoT sphere, a comparative analysis of educational products used for teaching of undergraduate students. With that the article describes the architecture of our own software and hardware platform for learning IOT. Moreover, this paper reviews methods and technical instruments employed to design software and hardware appliances.
The problem of energy saving of a mobile device is still relevant, moreover, the need for energy saving increases every year with the advent of the Internet of things. However, despite the significance and effectiveness of previous studies, we still do not know the exact amount of energy consumed by the elements of the mobile device interface. In this regard, our contribution to this study is that we received a specific amount of energy in the established units of measurement consumed by the basic elements of the interface and the main color palette on TFT displays. The data obtained in this study were obtained through many experiments and have some small error associated with the used measurement sensors built into the mobile device. This error was calculated and determined for each element. In addition, the data on the energy consumption of the mobile device were evaluated from a theoretical point of view and a mathematical model of the battery consumption of the mobile device was compiled.
The article presents an analysis of the possibilities and limitations of the use of information and communication technologies, in particular the Internet of things as an effective tool for artistic and sociocultural practices in the context of transformations of cultural industries. It is revealed that such radical transformations lead to a change in the formats of cultural objects, their content and form. The prospects of technological development are analyzed and the framework of interdisciplinary research is set.
Considering two main trends in the field of culture - the fusion of art with science and the high demand for viewers’ participation in art-projects, we emphasize the role of technology in the development of media and focus on the prospects that can provide the Internet of things. In addition, analyzing the perspectives of contemporary technological tools as creative tools, we argue that the Internet of things and derivative technologies can have a strong influence on design, education and culture: today the society faces exponential innovative growth in all areas, but the most promising among them are those which provide the user with an active position, ability to provide feedback and an option to become co-author of the responsive, recipient-oriented projects that engage complex technical excellence in order to meet the expectations of a contemporary adaptive user, viewer or student.
This book provides a comprehensive introduction to the study of sensors and the Internet of Things (IoT) from a government and public policy perspective. Since 2011, federal spending on IoT has been growing at a compound annual rate of ten percent. New technologies, such as sensors, and new kinds of data, such as big data, are creating new ways to systematically capture data and to use it to respond to complex problems. Some of these new technologies and applications have been identified and studied in recent literature in terms of their relevance to government.
This volume adds to the literature by presenting sound theories and concepts for understanding the opportunities and challenges governments face when seeking to improve public services and government operations through the use of IoT. It also includes innovative methodologies for building understanding of the potential of a smart and connected government. In addition, the book offers relevant case studies and practical recommendations for the development, management, and evaluation of public policies and government programs.
The Internet of Things is being actively introduced in Russian public governance for inspection and oversight. In this chapter, based on an analysis of IoT policy, legal acts, secondary statistical data, and the authors’ own involvement in testing IoT technologies, we formulate cases and use them as a basis for an IoT classification oriented to the needs of government agencies. The spheres of application we consider are transport, justice, retail, and manufacturing. The case we study in greatest detail is that of the fur industry. We apply the method of cost–benefit analysis and examine the costs of using IoT in public governance to regulate the turnover of fur goods as well as the benefits for key stakeholders (government, society, business). We identify barriers that prevent IoT technology from being used effectively and describe the effects of implementing IoT in the fur industry and other areas in which IoT is used for inspection and oversight.