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Hybrid Power Bank Deployment Model for Energy Supply Coverage optimization in Industrial Wireless Sensor Network

Intelligent Automation & Soft Computing 2023年第8期37卷 1531-1551页

作者： Hang Yang Xunbo Li Witold Pedrycz School of Mechanical and Electrical Engineering University of Electronic Science and Technology of ChinaChengduSichuan611731China Department of Electrical and Computer Engineering University of AlbertaEdmontonAB T6G 1H9Canada

Energy supply is one of the most critical challenges of wireless sensor networks(WSNs)and industrial wireless sensor networks(IWSNs).While research on coverage optimization problem(COP)centers on the network’s monitoring coverage,this research focuses on the power banks’energy supply *** study of 2-D and 3-D spaces is typical in IWSN,with the realistic environment being more complex with obstacles(i.e.,machines).A 3-D surface is the field of interest(FOI)in this work with the established hybrid power bank deployment model for the energy supply COP optimization of *** hybrid power bank deployment model is highly adaptive and flexible for new or existing plants already using the IWSN *** model improves the power supply to a more considerable extent with the least number of power bank *** main innovation in this work is the utilization of a more practical surface model with obstacles and training while improving the convergence speed and quality of the heuristic *** overall probabilistic coverage rate analysis of every point on the FOI is provided,not limiting the scope to target points or ***’s algorithm is extended from 2-D to 3-D surface to enhance the probabilistic covering model for coverage measurement.A dynamic search strategy(DSS)is proposed to modify the artificial bee colony(ABC)and balance the exploration and exploitation ability for better convergence toward eliminating NP-hard deployment ***,the cellular automata(CA)is utilized to enhance the convergence *** case study based on two typical FOI in the IWSN shows that the CA scheme effectively speeds up the optimization *** experiments are conducted on four benchmark functions to validate the effectiveness of the proposed *** experimental results show that the proposed algorithm outperforms the ABC and gbest-guided ABC(GABC)*** results show that the proposed energy coverage optimization method based on

关键词： Industrial wireless sensor network hybrid power bank deployment model:energy supply coverage optimization artificial bee colony algorithm radio frequency numerical function optimization

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