Research on wireless sensor network optimization based on genetic
algorithm

Shuai Wu; Xiaochen Wang; Jiayi He; Kang Fu

doi:10.1117/12.2634641

4 May 2022 Research on wireless sensor network optimization based on genetic algorithm

Shuai Wu, Xiaochen Wang, Jiayi He, Kang Fu

Proceedings Volume 12172, International Conference on Electronic Information Engineering and Computer Communication (EIECC 2021); 121721D (2022) https://doi.org/10.1117/12.2634641
Event: International Conference on Electronic Information Engineering and Computer Communication (EIECC 2021), 2021, Nanchang, China

Abstract

Aiming at the actual wireless sensor network (WSN), this paper studies the location of all sensor nodes in WSN. How to efficiently route multiple mobile chargers to minimize the energy consumption of all mobile chargers and minimize the battery capacity of all sensors. Firstly, according to the coordinates of all sensor nodes, the corresponding sensor network is determined, and the constraint conditions and objective function are determined according to the actual sensor network, and then the mathematical optimization model is established. This problem can be analogous to the VRPTW problem (VRP with Time Windows), namely a vehicle path planning problem with Time Windows. The shortest loop path of multiple mobile chargers can be obtained by multi-objective optimization and improved genetic algorithm. Then, the minimum capacitance of each sensor is determined according to the sensor nodes contained in the loop of each mobile charger. Finally, the improved algorithm has a good convergence degree and the model has good practicability through computer simulation. This study can provide a good theoretical reference for a wireless sensor network in the configuration and mobile route of mobile chargers.

Citation Download Citation

Shuai Wu, Xiaochen Wang, Jiayi He, and Kang Fu "Research on wireless sensor network optimization based on genetic algorithm", Proc. SPIE 12172, International Conference on Electronic Information Engineering and Computer Communication (EIECC 2021), 121721D (4 May 2022); https://doi.org/10.1117/12.2634641

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KEYWORDS

Sensors

Sensor networks

Genetic algorithms

Optimization (mathematics)

Mathematical modeling

Algorithms

Data centers

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