Underground wireless sensor network node energy consumption optimization method based on LoRa

Abstract

The invention relates to an underground wireless sensor network node energy consumption optimization method based on LoRa, and the method comprises the following steps: 1) initializing transmission configuration, obtaining the transmission configuration with the lowest transmission power consumption corresponding to each total sensitivity, and forming selectable transmission configuration; 2) constructing a channel model, and estimating the current link quality by taking the soil volumetric water content detected in the local area as an input quantity; 3) according to the estimated current link quality, determining a transmission configuration capable of satisfying a high-quality link from selectable transmission configurations; and 4) if the selectable transmission configuration has the transmission configuration of the high-quality link, taking the configuration as the current transmission configuration and starting to transmit the sensing data. Compared with the prior art, the method has the advantages of reducing the transmitting power consumption, selecting the optimal transmitting configuration, improving the energy efficiency of the underground node, prolonging the overall working period and the like.

Description

technical field [0001] The invention relates to the technical field of underground wireless sensor networks and low-power wide area networks, in particular to a method for optimizing energy consumption of underground wireless sensor network nodes based on LoRa. Background technique [0002] The underground wireless sensor network is an extension of the wireless sensor network. It is mainly composed of sensor nodes deployed in the underground soil. The sensor network uses radio as the communication mode. The underground wireless sensor network has a broad prospect and is mainly used in precision agricultural monitoring. However, due to the particularity of the underground environment, the underground wireless sensor network mainly faces problems such as limited energy consumption of underground nodes and limited transmission distance. As a new low-power wide-area network technology, it has become a new communication solution for underground wireless sensor networks by virtue ...

AI Technical Summary

Problems solved by technology

After searching the literature of the existing technology, it was found that although LoRaWAN (a set of communication protocol and system architecture designed by LoRaWAN based on the LoRa long-distance communication network) provides an adaptive rate mechanism, the transmission configuration is adjusted by the received signal strength to achieve The effect of optimizing power consumption, but this is not applicable to LoRa-based underground wireless sensor networks; on the one hand, due to the adaptive rate mechanism, the best transmission configuration cannot be selected according to the underground soil environment, and its optional transmission configurations are limited; On the other hand, since underground nodes need to receive data packets for decision feedback, extra receiving power consumption is added. Therefore, it is necessary to propose an energy consumption optimization method for underground nodes of LoRa-based underground wireless sensor networks to reduce The transmission power consumption of small underground nodes effectively solves the energy problem of underground wireless sensor networks

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