Abstract
This paper focuses on barrier coverage problem in sensor networks which are deployed for uranium tailing border monitoring scenarios. Based on the novel Confident Information Coverage(CIC) model, we define and formulate the Barrier Confident Information Coverage (BCIC) problem and propose a novel Learning automata (LA) theory based strategy to construct barrier confident information coverage paths. Simulation results show the devised strategy can effectively construct barrier paths with minimum nodes and optimize barrier coverage performance.
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