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- W4214907018 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." @default.
- W4214907018 created "2022-03-05" @default.
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- W4214907018 date "2021-10-31" @default.
- W4214907018 modified "2023-10-02" @default.
- W4214907018 title "Minimizing Power Consumption in Networks of Environmental Sensor Arrays using TDD LoRa and Delta Encoding" @default.
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- W4214907018 doi "https://doi.org/10.1109/ieeeconf53345.2021.9723227" @default.
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