Author(s)

Zhiguo Tao ¹, Kang Liu ¹, Zhaozhao Li ¹, Jianbing Hao ¹

Affiliation(s)

¹ School of Energy and Power Engineering, Lanzhou University of Technology, Lanzhou, Gansu, 730000

Corresponding Author

Zhiguo Tao

ABSTRACT

From the perspective of the optimal route and minimum capacitance, this paper establishes a mathematical model based on the simulated annealing algorithm, multivariate inhomogeneous linear equations and multi-objective optimization, which provides the optimal route for the mobile vehicle and establishes the minimum capacitance [1]. Solve the model to maximize the total charging efficiency, and use the optimization model to obtain the optimal path for 4 mobile vehicles. The optimal route of a single/multiple mobile vehicles is visualized through multiple models. On the basis of the optimal route, the minimum capacitance required by each sensor is solved by using multivariate inhomogeneous linear equations.

KEYWORDS

simulated annealing, optimal route, multi-objective optimization

CITE THIS PAPER

Zhiguo Tao, Kang Liu, Zhaozhao Li, Jianbing Hao. Research on WSN network planning based on multiple models. Computing, Performance and Communication Systems (2021) Vol. 5: 1-5. DOI: http://dx.doi.org/10.23977/cpcs.2021.52001.

REFERENCES

[1] Optimization of Multiple Traveling Salesman Problem Based on Genetic Algorithm, Shu Donglai, Anqing Normal University, 2018,6,15. 
[2] "Fundamentals of Geodesy", Kong Xiangyuan, Liu Zongquan, Wuhan University Press, 2008, 5.
[3] Liu Chuang, Wang Jun, Wu Han, et al. Research on mobile charging problems in wireless rechargeable sensor networks [A] \\Computer Technology and Development Volume 26, Issue 3.
[4] Research on Multiple Traveling Salesman Problem Based on Improved Genetic Algorithm, Hu Shijuan, Jiangnan University, 2019, 6, 1.

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