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Minimizing Power Consumption in Networks of Environmental Sensor Arrays using TDD LoRa and Delta Encoding | IEEE Conference Publication | IEEE Xplore

Minimizing Power Consumption in Networks of Environmental Sensor Arrays using TDD LoRa and Delta Encoding


Abstract:

Densely distributed sensor networks can revolutionize environmental observations by providing real-time data with an unprecedented spatiotemporal resolution. However, fie...Show More

Abstract:

Densely distributed sensor networks can revolutionize environmental observations by providing real-time data with an unprecedented spatiotemporal resolution. However, field deployments often pose unique challenges in terms of power provisions and wireless connectivity. We present a framework for wirelessly connected distributed sensor arrays for near-surface temperature monitoring. Our research focuses on a novel time division duplex implementation of the LoRa protocol, enabling collision-free communications and battery powered base stations. In order to minimize transmissions and improve battery life throughout the network, we propose a dedicated delta encoding algorithm that utilizes the spatial and temporal similarity in the acquired data sets. We implemented the developed technologies in a AA battery powered hardware platform that can be used as a wireless data logger or base station and we conducted an assessment of the power consumption. Without data compression, the projected battery life for a data logger is 1,734 days, and wireless base stations can last several weeks or months depending on the amount of network traffic. The delta encoding algorithm can further improve this battery life with a factor of up to 3.50. The results of this research demonstrate the viability of the proposed methods for low-power environmental wireless sensor networks.
Date of Conference: 31 October 2021 - 03 November 2021
Date Added to IEEE Xplore: 04 March 2022
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Conference Location: Pacific Grove, CA, USA

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