Measurement and Adjustment Model of the Reception Ratio of “FAST” Reflector Panel

Li, Daiwei; Wang, Jieyi; Wu, Zheng; Liu, Hanyang; Ullah, Ako

doi:10.1007/978-3-031-05237-8_104

Cited by 1 publication

(1 citation statement)

References 10 publications

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“…According to the collected data, based on the Monte Carlo [10] optimization simulated annealing algorithm using Matlab to solve the model, Figure 4 to obtain the optimal path. It shows the optimization process.…”

Section: Monte Carlo Optimization Simulated Annealing Algorithm Solut...mentioning

confidence: 99%

Modeling and optimization methods for charging route planning and sensor battery capacity minimization for wireless rechargeable sensor networks

Zhao,

Xiang,

Shu

et al. 2023

International Conference on Automation Control, Algorithm, and Intelligent Bionics (ACAIB 2023)

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The wireless rechargeable sensor network mainly consists of a data processing unit, a sensor (data acquisition unit), and a mobile charger (energy supply unit). For the wireless rechargeable sensor network to work properly, the mobile charger needs to charge the sensors periodically through the route given by the data processing unit, but the mobile charger incurs unnecessary energy loss on the charging journey. This paper discusses the problem of route planning and the minimum capacity of sensor batteries for single versus multiple mobile chargers. First, the TSP and MTSP problems of minimum energy consumption of mobile chargers over the distance are solved by modeling them with Monte Carlo optimization simulated annealing algorithm, and improved genetic algorithm, respectively. Then, the problem is further transformed into a linear programming and multi-objective optimization model to solve for the minimum capacity of the battery. In addition, computational experiments using the LKH algorithm and CA learning methods are conducted in this paper to propose optimization scenarios for the route planning model.

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Section: Monte Carlo Optimization Simulated Annealing Algorithm Solut...mentioning

confidence: 99%

Modeling and optimization methods for charging route planning and sensor battery capacity minimization for wireless rechargeable sensor networks

Zhao,

Xiang,

Shu

et al. 2023

International Conference on Automation Control, Algorithm, and Intelligent Bionics (ACAIB 2023)

View full text Add to dashboard Cite

show abstract

Measurement and Adjustment Model of the Reception Ratio of “FAST” Reflector Panel

Cited by 1 publication

References 10 publications

Modeling and optimization methods for charging route planning and sensor battery capacity minimization for wireless rechargeable sensor networks

Modeling and optimization methods for charging route planning and sensor battery capacity minimization for wireless rechargeable sensor networks

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