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MARS: MAximizing throughput for MPPT-based self-sustaining LoRa Systems
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DOI：10.1145/3649476.3658722.png)
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Due to the insufficient transient amount of energy supplied from ambient energy sources and constrained amount of energy storage in super-capacitors, energy harvesting (EH) nodes are limited with operations and vulnerable to frequent faults due to energy scarcity. Consequently, such faults will reduce reliability and energy utility due to data collisions, lost data, or idle listening. To address these challenges, this work implements a novelty task scheduling scheme to minimize energy waste and maximize throughput under these scenarios and constraints. To demonstrate the effectiveness, we use a green test bed using LoRa nodes for evaluation.
Keyword:
Self-sustaining
Energy Harvesting
Battery-less
Green IoT
LoRa
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