Research and Modelling of Methods for Building Energy Efficient Internet of Things Systems
Students Name: Bobyk Yurii Volodymyrovych
Qualification Level: magister
Speciality: System Administration of Telecommunications Networks
Institute: Institute of Telecommunications, Radioelectronics and Electronic Engineering
Mode of Study: full
Academic Year: 2022-2023 н.р.
Language of Defence: ukrainian
Abstract: The first section provides a brief introduction to the history and development of IoT. It also describes the principles of wireless sensor networks (WSNs), which are one of the most important elements in IoT networks. This research is related to the development of energy efficiency techniques for WSNs that enable IoT. After identifying the sources of energy waste, this paper reviews the literature discussing the most suitable approaches to reduce the energy consumption of IoT and WSNs. It also points out the drawbacks of known methods in terms of energy saving measures that can be explored and, if successful, implemented. Routing and scheduling algorithms play a very important role with respect to the energy efficiency of wireless sensor networks (WSNs) that enable IoT. Appropriate techniques can reduce energy consumption and extend the network lifetime. In the second section of the paper, an improved routing algorithm is proposed that forwards the data to the next node with the shortest transmission distance and the least number of forwarding nodes. An improved scheduling algorithm is also presented that gives high priority to packets that consume more energy, so that they are served first by the cluster head nodes to reduce the energy consumed by the forwarding process. The third section presents the energy consumption results obtained from the simulations of the proposed routing and message scheduling algorithms and compares them with the results obtained from the state-of-the-art algorithms. All simulations were repeated 20 times using Matlab for different network topologies with random distribution of sensor nodes at the beginning of each simulation. The performance of the SPFL protocol in terms of energy consumption and network lifetime was found to be more efficient compared to known protocols. In particular, the proposed protocol achieves 30% and 5% improvement in energy savings compared to the E-HEED and EAMR protocols, respectively. During testing, it is found that the SPFL-LH algorithm achieves 29% and 8% energy saving improvement compared to the TBMS and EDF algorithms, and reduces the average energy consumption in each round by 50% and 26% compared to the TBMS and EDF protocols. The fourth section develops the IoT platform and its potential to be used for predicting abnormal temperature values. An analysis of the feasibility of using edge computing compared to a system without their use is performed. The result is a more optimal use of cloud computing by using a peripheral that takes over part of the computation and data analysis. The results of the study on the use of such devices are very satisfactory. They will bring the greatest benefit to medium and large enterprises where there are many sensors and metrics to be collected and transmitted to the cloud. Thus, the solution will not only provide cost savings for using cloud technologies, but will also have a significant component in terms of reducing energy consumption by providing fewer transmissions. In the fifth section, a comparative economic analysis of the proposed energy-efficient architecture with known solutions is carried out. The object of research is the process of IoT data transmission. Subject of research - algorithms for reducing the energy consumption of IoT systems during data transmission.The purpose of the work is to reduce the energy consumption of IoT systems by improving data transmission algorithms.