چكيده به لاتين
Nowadays, we are facing increase of IoT-based solutions that include various applications with different purposes such as monitoring and controlling objects. In many of these solutions, depending on the type of application, there are different challenges that energy consumption and coverage range are two of the most important challenges. Bluetooth low energy is one of the communication technologies that is very popular and widely used due to the support of most mobile phones from this technology and low energy consumption. In addition, in recent years, with the introduction of Bluetooth 5, this technology has been used in a wider range of applications because of increasing coverage range and data transfer rates and reducing energy consumption. So far, various researches have been done in the field of evaluating the capabilities and improving the performance of Bluetooth low energy in terms of latency, output and reliability, but the discussion of energy consumption management using the capabilities of Bluetooth 5 has not been discussed. Therefore, in this study, a comparative method for managing energy consumption in Bluetooth 5 is presented, with the help this method, nodes will have the ability to adjust the transmitted power and the mode of the physical layer simultaneously in accordance with the quality characteristics of communication. In order to present this method, a system with two Bluetooth nodes was designed and implemented. By the help of this system, it was possible to track changes in the quality characteristics of communication in two scenarios. In the first scenario by changing the distance of nodes from each other in the football stadium environment without the presence of interfering signals and in another scenario without mobility and with presence of sources of interference in common channels with Bluetooth low energy. The results of these experiments identified the characteristics and thresholds required to implement the adaptive method, which were the connection events and the received signal strength. In addition, in another experiment, the energy consumption of the connection events was measured in a combination of different output power modes and the physical layer modes. Finally, by applying the adaptive method in the mobility scenario in the football stadium, despite the global coverage, a 13.4% reduction in energy consumption and a 1% reduction in lost communication event compared to the standard state without adaptive method with an average lost event of 5% and a reduction of 18.7 % Of energy consumption and 1% increase of the lost communication event compared to the standard state without adaptive method with an average of 3% lost event was observed.