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• W2807087240 startingPage "5300" @default.
• W2807087240 abstract "Remote estimation with an energy harvesting sensor with a limited data and energy buffer is considered. The sensor node observes an unknown temporally correlated field and communicates its observations to a remote fusion center using the energy it harvested. The fusion center employs linear minimum mean-square error estimation to reconstruct the unknown field. We provide performance guarantees for the estimation error under a block transmission scheme, where at each transmission block, data and energy buffers are completely emptied. Our bounds provide insights into how statistical properties of the energy harvesting process and buffer sizes may affect the estimation error. In particular, these bounds suggest insensitivity of the performance to buffer sizes for signals with low degree of freedom and suggest performance improvements with increasing buffer sizes for signals with relatively higher degree of freedom. Depending only on the mean, variance, and finite support of the energy arrival process, these results provide insights for the energy and data buffer sizes for deployment in future energy harvesting wireless sensing systems." @default.
• W2807087240 created "2018-06-13" @default.
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• W2807087240 date "2018-08-01" @default.
• W2807087240 modified "2023-09-24" @default.
• W2807087240 title "Remote Estimation of Correlated Sources Under Energy Harvesting Constraints" @default.
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• W2807087240 doi "https://doi.org/10.1109/twc.2018.2841390" @default.
• W2807087240 hasPublicationYear "2018" @default.
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