## 3 System Models
### Sensing Coverage Model
(2021) [PERSON]; [PERSON]; [PERSON]; [PERSON] [PERSON]; [PERSON] [PERSON]; [PERSON] Charging task scheduling for directional wireless charger networks. _IEEE Trans. Mob. Comput._**2021**, _20_, 3163-3180. [CrossRef]
* [PERSON] et al. (2020) [PERSON]; [PERSON]; [PERSON] [PERSON]; [PERSON]; [PERSON] An Effective Multi-node Charging Scheme for Wireless Rechargeable Sensor Networks. In Proceedings of the IEEE INFOCOM 2020--IEEE Conference on Computer Communications, Toronto, ON, Canada, 6-9 July 2020; pp. 2026-2035. * [PERSON] et al. (2018) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] An uneven cluster-based mobile charging algorithm for wireless rechargeable sensor networks. _IEEE Syst. J._**2018**, _13_, 3747-3758. [CrossRef]
* [PERSON] et al. (2020) [PERSON]; [PERSON]; [PERSON]; [PERSON] Cooperative-Evolution-Based WPT Resource Allocation for Large-Scale Cognitive Industrial IoT. _IEEE Trans. Ind. Inform._**2020**, _16_, 5401-5411. [CrossRef]
* [PERSON] et al. (2021) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Minimizing the Maximum Charging Delay of Multiple Mobile Chargers Under the Multi-Node Energy Changing Scheme. _IEEE Trans. Mob. Comput._**2021**, _20_, 1846-1861. [CrossRef]
* [PERSON] et al. (2014) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Evaluating the on-demand mobile charging in wireless sensor networks. _IEEE Trans. Mob. Comput._**2014**, _14_, 1861-1875. [CrossRef]
* [PERSON] et al. (2019) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Double warning thresholds for preemptive charging scheduling in Wireless Rechargeable Sensor Networks. _Comput. Netw._**2019**, _148_, 72-87. [CrossRef]
* [PERSON] et al. (2017) [PERSON]; [PERSON]; [PERSON]; [PERSON] [PERSON] p2S:A primary and passer-by scheduling algorithm for on-demand charging architecture in wireless rechargeable sensor networks. _IEEE Trans. Veh. Technol._**2017**, _66_, 8047-8058. [CrossRef]
* [PERSON] et al. (2022) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Early Warning of the Construction Safety Risk of a Subway Station Based on the LSSVM Optimized by QPSO. _Appl. Sci._**2022**, _12_, 5712. [CrossRef]
* [PERSON] and [PERSON] (2021) [PERSON]; [PERSON] Least Squares Boosting Ensemble and Quantum-Behaved Particle Swarm Optimization for Predicting the Surface Roughness in Face Milling Process of Aluminum Material. _Appl. Sci._**2021**, _11_, 2126. [CrossRef]
* [PERSON] et al. (2020) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Process Parameter Optimization When Preparing Ti(C, N) Ceramic Coatings Using Laser Cladding Based on a Neural Network and Quantum-Behaved Particle Swarm Optimization Algorithm. _Appl. Sci._**2020**, _10_, 6331. [CrossRef]
* [PERSON] et al. (2021) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Complex Permittivity Estimation for Cloths Based on QPSO Method Over (40 to 50) GHz. _IEEE Trans. Antennas Propag._**2021**, _69_, 600-605. [CrossRef]
* [PERSON] et al. (2022) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Attention-Shared Multi-Agent Actor-Critic-Based Deep Reinforcement Learning Approach for Mobile Charging Dynamic Scheduling in Wireless Rechargeable Sensor Networks. _Entropy_**2022**, _24_, 965. [CrossRef]
* [PERSON] et al. (2020) [PERSON]; [PERSON]; [PERSON] A New Base Station Deployment Method for WRSN Based on Greedy Algorithm. In Proceedings of the 2020 IEEE Wireless Power Transfer Conference (WPTC), Seoul, Republic of Korea, 15-19 November 2020. **Disclaimer/Publisher's Note:** The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.