PREDICTING THE LIFETIME OF LORA BASED WIRELESS SENSOR NETWORKS USING A PROBABILISTIC MODEL OF MARKOV CHAINS
Ключевые слова:
Wireless sensor networks, LoRa technology, energy efficiency, Markov chains, error probability in the communication channel.Аннотация
Real-time monitoring systems and sensors are not complete without wireless data transmission
modules. Improving energy efficiency requires examining various system parameters that affect the power
consumption of transmitting and receiving devices. The most important parameter of any autonomous wireless
network is its uptime. In this work, we used LoRa wireless modules on the SX1278 chip manufactured by Semtech
to determine their power consumption in various operating modes. The obtained data were used to build a
consumption model of the device when connected to a receiver. Three operating modes are considered: transmit
mode, receive mode and sleep mode. In an ideal communication channel, all transmitted data reaches the receiver
with 100% probability. In a real situation, data reaches the receiver with a certain probability, depending on the
communication channel, transmission power, distance to the addressee, and network parameters. In this work, the
occurrence of an error is random. In this case, the occurrence of an error during reception entails a lack of
confirmation of receipt or a request for re-sending data. Sending data again increases the power consumption of the
device and, consequently, decreases the operating time of the wireless device. This paper shows the dependences of
the operating time on various initial monitored parameters of the device, such as: confirmation timeout, packet
length, time of one transmission cycle and the maximum number of retransmissions in one cycle. The developed
model for predicting the consumption of the device can be used in the design of autonomous wireless sensor
monitoring networks.
