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- W3115641230 abstract "This paper considers an energy-constrained sensor power allocation problem for remote estimation under Denial-of-Service attack. Due to power constraints, the sensor needs to make a decision on how much power it should employ to optimise the state estimation performance under Denial-of-Servic attacks without using real-time acknowledgment information. Different from the existing works concerning non-zero power value with discrete values or one power value, the authors consider the multilevel continuous-valued energy allocation policy containing zero power value in this work. By analysing the effects on performance index under different energy allocation policies, an optimal off-line power scheduling policy with non-decreasing structure is derived. To obtain the optimal power scheduling sequences, the authors formulate the problem as non-linear programming after analysing the probability distribution of the estimation error covariance matrix. Moreover, the two power values energy allocation policy is investigated as a special case. At last, simulation examples are presented to verify the effectiveness of their theoretical results." @default.
- W3115641230 created "2021-01-05" @default.
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- W3115641230 date "2020-12-23" @default.
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- W3115641230 title "Optimal energy allocation for remote state estimate under Denial‐of‐Service attack" @default.
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- W3115641230 doi "https://doi.org/10.1049/cth2.12078" @default.
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