This paper aims to enhance indoor light energy harvesting for Internet of Things (IoT) sensors in the context of simultaneous light and information power transfer (SLIPT). We use the time-delayed optical transmission from multiple sources to construct a near-constant waveform, which we term the waveform shaping method. Thanks to its perfect match with the response of the photovoltaic panel, the energy-converting efficiency can be boosted. We built a complete simulation procedure and real-world testbed to showcase the feasibility of the proposed approach. Simulation and experimental results demonstrate the ability to improve light energy harvesting by up to 24% compared to synchronized optical transmission. These insights pave the way for investigating the trade-offs between data and energy transfer within SLIPT systems.
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Hammoud et al. (2024) studied this question.
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