HIGHLIGHTS
- who: August et al. from the Linku00f6ping University, Sweden Virginia Tech, United States have published the paper: Status update control based on reinforcement learning in energy harvesting sensor networks, in the Journal: (JOURNAL)
- what: The authors aim to minimize the weighted cost of both energy cost and information error by exploring the spatiotemporal correlation among sensors. The study was partially presented in IEEE WCSP (Han and Gong, 2021). Frontiers in Communications and Networks frontiersin.org 10.3389/frcmn.2022.933047 For an ideal channel model with a perfect and unlimited number of channels, the authors . . .
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