Prediction of energy consumption for LoRa based wireless sensors network
- PDF / 2,260,995 Bytes
- 14 Pages / 595.276 x 790.866 pts Page_size
- 76 Downloads / 312 Views
(0123456789().,-volV)(0123456789(). ,- volV)
Prediction of energy consumption for LoRa based wireless sensors network Madiyar Nurgaliyev1 • Ahmet Saymbetov1 Didar Tukymbekov1
•
Yevhen Yashchyshyn2 • Nurzhigit Kuttybay1
•
Ó Springer Science+Business Media, LLC, part of Springer Nature 2020
Abstract This paper shows a method for predicting the lifetime of a wireless sensor network based on the LoRa Ra-01 wireless modules. To develop a prediction model of the energy consumption, wireless sensor modules were assembled and it was obtained experimental data using LabView development environment. There were performed experiments to get battery discharge curve. Experimental data of power consumption depending on the packet length were obtained in transmission mode. Using experimental data, we obtained dependencies of system lifetime on sleep mode duration and packet length. The paper also considered a probabilistic approach to predict the system lifetime depending on the probability of data transmission during the day. The lifetime prediction model is based on Markov’s chains. The results obtained in this work can be used to predict lifetime of sensor networks more accurately. Keywords Wireless sensor networks Lifetime LoRa technology Markov’s chains Energy efficiency of sensor networks
1 Introduction Today, wireless technologies are increasingly being used in a wide variety of industries and science. Among other things, sensor networks are used for monitoring various physical phenomena. For this purpose, various IEEE 802.15.4 wireless data transmission technologies are used. ZigBee technology occupies a special place among them. The general principles of building sensor networks as well as the characteristics of the physical and channel layer are shown in [1–3]. This technology is characterized by a large bandwidth. However, the coverage is limited up to several hundred meters in open areas. The high power consumption of this module does not allow using this device as a highly efficient data transfer device. The papers discuss ways to reduce the node energy consumption through & Ahmet Saymbetov [email protected] 1
Faculty of Physics and Technology, Al-Farabi Kazakh National University, 71 al-Farabi Ave, Almaty, Kazakhstan
2
Institute of Radioelectronics and Multimedia Technology, Warsaw University of Technology, Warsaw, Poland
efficient data routing. The authors in paper [4] showed the power consumption models of various wireless data transmission technologies. The results show that at low channel load, LoRa and SIGFOX technology devices give the longest operating time during asynchronous transmission. Today, in the market of wireless modules, more and more attention is paid to LoRa technology. This technology was developed for IoT to increase the effectiveness of existing wireless sensor network systems. Applicability of LoRa to distributed measurement systems with wireless sensors network is very high [5, 6]. Authors in [7] made a very detailed summary about modern protocols and technologies which c
Data Loading...
