Abstract
According to recent researches, the wireless sensor networks (WSN) which consume low levels of energy become more and more popular nowadays, so the research trend of optimizing energy for WSNs is rapidly increasing. LoRa technology is a modulation technique that provides long-range transfer of information and low power consumes. Besides, LoRaWAN is a network protocol that optimized for battery-powered end devices. The LoRa and LoRaWAN can be considered a suitable candidate for WSNs, which can reduce power consumption and extend the communication range. In this paper, we studied adaptive mechanisms in the transmission parameters of the LoRa network and proposed an energy-optimized solution for the adaptive algorithm. This research not only introduced the reference hardware of a sensor node in WSNs but also conducted experiments on typical LoRa network infrastructure
Highlights
Extended operation time is one of the crucial characteristics of the Internet of Things (IoT), which transmit information over wireless communication
The LoRaTM and LoRaWANTM can be considered a suitable candidate for wireless sensor networks, which can reduce power consumption and extend the communication range
From the link between radio signal strength indication (RSSI) and the quality of data transmission in the LoRaTM network, the study has proposed the optimal solution of energy consumption by reducing the transmission energy on the end devices based on the transmission quality
Summary
Extended operation time is one of the crucial characteristics of the Internet of Things (IoT), which transmit information over wireless communication. The transmission of LoRaTM characterized by five parameters: spreading factor, transmission power, code rate, frequency, and bandwidth These parameters jointly affect the communication range, data rate, and reliability of data exchange between end nodes and gateway. The ADR on the network server adapts two parameters are spreading factor, and transmission power to reduce energy consumes for end devices. We introduced a solution to improve ADR algorithm, which helps to extend the battery life of end devices by adjusting parameters with lower levels of transmission power. The experimental results on this LoRaTM network infrastructure have shown that the proposed solution can help to decrease the level of power consumption and extend the battery life of the sensor node up to four percent.
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