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Scheduling Data Transmissions of Underwater Sensor Nodes for Maximizing Value of Information
L. Bölöni, D. Turgut, S. Basagni, and C. Petrioli]]>
L. Bölöni, D. Turgut, S. Basagni, and C. Petrioli. Scheduling Data Transmissions of Underwater Sensor Nodes for Maximizing Value of Information. In Proc. of IEEE Globecom 2013, pp. 460–465, 2013.]]>
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value of information reaching the terrestrial station is maximized. These strategies are compared via simulations on realistic scenarios. Our results show that scheduling algorithms that are able to locally estimate the value of information of a data digest provide the delivery of data with a significantly higher value of information. In contrast, uninformed algorithms, i.e., strategies that do not consider the value of information at the node level, provide only a marginal increase over the benchmark case of using only the AUV for data collection. ]]>
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Patrick Riley, Lotzi Boloni
http://www.cs.cmu.edu/~pfr
2021-01-29T20:15:21