Optimal Transmit Power Allocation for an Energy-Harvesting Sensor in Wireless Cyber-Physical Systems.

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ID: 51673
2019
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Abstract
In this article, we investigate optimal transmission power allocation at a sensor equipped with the energy-harvesting technology for remote state estimation in wireless cyber-physical systems. The sensor has access to an energy harvester, which can collect energy from the external environment and is an everlasting but unreliable energy source compared with conventional batteries. For the wireless dropping communication channel, the packet dropout rates depend on both the signal-to-noise ratio and the transmission power used by the sensor. We formulate the problem of the optimal transmission power allocation to minimize the remote estimation error covariances as a Markov decision processes (MDPs) subject to energy constraint of the sensor. By analyzing the MDP algorithm, we show that an optimal deterministic and stationary transmission power policy exists. Moreover, we show that the optimal policy has a threshold-type structure. A numerical simulation is provided to illustrate the performance of the transmission power allocation algorithm.
Reference Key
peng2019optimalieee Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Peng, Lianghong;Cao, Xianghui;Sun, Changyin;
Journal ieee transactions on cybernetics
Year 2019
DOI
10.1109/TCYB.2019.2939420
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Keywords
computational fluid dynamics particle image velocimetry flow structure inhalation toxicology monkey upper airway

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