Internet of Things, Smart Spaces, and Next Generation Networks and Systems, 20th International Conference, NEW2AN 2020, and 13th Conference, ruSMART 2020, St. Petersburg, Russia, August 26–28, 2020, Proceedings, Part I
This book constitutes the joint refereed proceedings of the 20th International Conference on Next Generation Teletraffic and Wired/Wireless Advanced Networks and Systems, NEW2AN 2020, and the 13th Conference on Internet of Things and Smart Spaces, ruSMART 2020. The conference was held virtually due to the COVID-19 pandemic.
The 79 revised full papers presented were carefully reviewed and selected from 225 submissions. The papers of NEW2AN address various aspects of next-generation data networks, with special attention to advanced wireless networking and applications. In particular, they deal with novel and innovative approaches to performance and efficiency analysis of 5G and beyond systems, employed game-theoretical formulations, advanced queuing theory, and stochastic geometry, while also covering the Internet of Things, cyber security, optics, signal processing, as well as business aspects. ruSMART 2020, provides a forum for academic and industrial researchers to discuss new ideas and trends in the emerging areas
In this paper presented method for reducing the amount of data transmitted and stored in IoT systems. Instead of expensive and complex network devices, developers can use cheap and proven low-speed solutions (ZigBee, NB IoT, BLE). This approach focuses on sensor processing. Correlation and autocorrelation methods for event detection depending on waveform are described in detail and implementation of endpoint architecture is proposed. Novelty and another feature of this approach is the use of not the full waveform, but their components and processing on the device. This significantly reduces the number of operations and complexity of implementation. Other methods focus on the cloud computing paradigm. The results of the simulation show that at the data transfer rate from the sensor ~10 MSample/s, the proposed method allows you to transmit and store 280 bytes in 70 min instead of 157 GB using the bypass method. Reducing data transfer and storage requirements will simplify and reduce the cost of IoT systems, improve performance, and apply additional precision sensors to provide more accurate data.
The solutions are focused on low-power and FPGA/ASIC implementations.