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• W2069373403 abstract "We consider a node in a multihop wireless network that is responsible for transmitting messages in a timely manner while being prudent about energy consumption. The node uses energy harvesting in the sense that it is powered by batteries that are charged by renewable energy sources such as wind or solar. To strike a balance between latency and availability, we develop a multi-timescale model. At a faster timescale, the node makes decisions based on local information such as queue lengths of packets in input buffers and available energy levels. The decisions include scheduling packets on the output buffers that would be transmitted at the next opportunity, possibly using network coding. At the slower timescale, we model the energy levels in the battery using a stochastic fluid-flow model to determine the availability and time-averaged latency. Ultimately, we present a unified framework that iteratively sets model parameters to satisfy latency and availability targets. The methods are based upon Markov decision processes, Markov chains, and semi-Markov process analysis." @default.
• W2069373403 created "2016-06-24" @default.
• W2069373403 creator A5073945194 @default.
• W2069373403 creator A5076089022 @default.
• W2069373403 date "2015-01-01" @default.
• W2069373403 modified "2023-09-26" @default.
• W2069373403 title "Efficiently Operating Wireless Nodes Powered by Renewable Energy Sources" @default.
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• W2069373403 doi "https://doi.org/10.1109/jsac.2015.2391711" @default.
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