CFMCRS: Calibration fuzzy- metaheuristic clustering routing scheme simultaneous in on-demand WRSNs for sustainable smart city
作者：
Highlights：
• Designing a multiobjective function based on cities performance evaluation criteria.
• A fuzzy heuristic approach to selecting and distributing CHs properly in Networks.
• Proposing CFMCRS scheme for adaptability with mobile charging in smart cities.
• Simulation results show, the proposed CFMCRS outperforms other schemes.
• CFMCRS calibrates the effect coefficients of input parameters through the WOA.
摘要
•Designing a multiobjective function based on cities performance evaluation criteria.•A fuzzy heuristic approach to selecting and distributing CHs properly in Networks.•Proposing CFMCRS scheme for adaptability with mobile charging in smart cities.•Simulation results show, the proposed CFMCRS outperforms other schemes.•CFMCRS calibrates the effect coefficients of input parameters through the WOA.
论文关键词：Sustainable smart cities,Wireless rechargeable sensor networks (WRSN),Whale optimization algorithm (WOA),Fuzzy inference system,Charging schedule
论文评审过程：Received 26 February 2022, Revised 7 July 2022, Accepted 16 August 2022, Available online 20 August 2022, Version of Record 6 September 2022.
论文官网地址：https://doi.org/10.1016/j.eswa.2022.118619
