Paper Info
Title
Adaptive Selection of Transmission Configuration for LoRa-based Wireless Underground Sensor Networks
Abstract
Sustainable operation with extended battery lifetime is always desirable for LoRa-based Wireless underground sensor networks (WUSNs) as the maintenance is generally costly. The link quality of LoRa-based WUSNs is strongly correlated with the LoRa physical layer (PHY) parameters and the characteristics of soils (e.g., the soil moisture). Thus, the strategy of optimum transmission of underground node needs to he carefully designed to establish and maintain reliable connectivity with a low power consumption under dynamic environmental conditions. By exploiting the local soil moisture to estimate the underground path loss based on the proposed channel model, an adaptive selection mechanism of the LoRa pm( parameters is implemented for underground nodes. In this paper, we use the real soil moisture data to numerically evaluate the performance of the proposed adaptive selection mechanism. Simulation results successfully verify that, compared with other solutions, the proposed scheme can achieve at least 60% reduction in the annual transmission power consumption while high link quality is maintained. Moreover, the proposed mechanism embodies the advantages of LoRa based WUSNs for ultra-low power and negligible delay.
Year
DOI
Venue
2021
10.1109/WCNC49053.2021.9417371
2021 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE (WCNC)
Keywords
DocType
ISSN
LoRa-based WUSNs, PHY parameters, adaptive mechanism, transmission power consumption
Conference
1525-3511
Citations 
PageRank 
References 
0
0.34
0
Authors
2
Name
Order
Citations
PageRank
Kaiqiang Lin111.38
Tong Hao213.07