Paper
4 August 2022 Study of the problem of energy-efficient patches under wireless sensors
TianQing He, ShiKun Wang, YuShan Jiao, ZiHan Wang, ShuQi Fan
Author Affiliations +
Proceedings Volume 12306, Second International Conference on Digital Signal and Computer Communications (DSCC 2022); 123060M (2022) https://doi.org/10.1117/12.2641368
Event: Second International Conference on Digital Signal and Computer Communications (DSCC 2022), 2022, Changchun, China
Abstract
This paper is devoted to the study of the EEP problem, and the main contributions are summarised as follows: A WSN-based hybrid virus-patch propagation model is constructed using node-level propagation modelling techniques to quantify the energy efficiency of patching strategies. Based on this, we reduce the EEP problem to an optimal control problem, called the EEP model, where each control represents a patching strategy and the target generalisation to be optimised represents the energy efficiency of a patching strategy. It is theoretically proven that there is optimal control in the EEP model, i.e. the EEP problem is solvable. We then present an optimality system for the EEP model, from which we obtain that the optimal patching strategy is a bang-bang type of control, indicating that the patching strategy is easy to implement. A numerical solution algorithm is given based on the optimality system, and several numerical examples show that an optimal patching strategy can be obtained by solving the optimality system. The influence of the model parameters on the optimal patching strategy is revealed through extensive computer experiments.
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
TianQing He, ShiKun Wang, YuShan Jiao, ZiHan Wang, and ShuQi Fan "Study of the problem of energy-efficient patches under wireless sensors", Proc. SPIE 12306, Second International Conference on Digital Signal and Computer Communications (DSCC 2022), 123060M (4 August 2022); https://doi.org/10.1117/12.2641368
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KEYWORDS
Energy efficiency

Sensor networks

Control systems

Sensors

Viruses

Modeling

Numerical analysis

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