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WRSN network planning model based on simulated annealing algorithm

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Published:13 August 2021Publication History

ABSTRACT

As an indispensable part of the modern information society, Wireless Sensor Network (WSN) is constrained by energy problems. Fortunately, wireless transmission technology---a newly emerged area of study---offers the solution to this problem. Therefore, the Wireless Rechargeable Sensor Network (WRSN), which uses mobile chargers with high battery energy to enter the sensor network and supplies energy to the sensors of each node through wireless transmission, has become a research hot spot nowadays. Based on the latitude and longitude data of the established node, this paper formulates the corresponding mobile charging strategy of the mobile charger by achieving the optimization of a certain performance to meet the energy supplement of each node sensor, and analyzes and calculates the minimum capacity of each node sensor battery. Constructing the optimal movement path can not only guarantee the best performance of the entire network, but also help maximize the use of energy resources, so as to be suitable for actual network scenarios.

References

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  1. WRSN network planning model based on simulated annealing algorithm

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          cover image ACM Other conferences
          ICCIR '21: Proceedings of the 2021 1st International Conference on Control and Intelligent Robotics
          June 2021
          807 pages
          ISBN:9781450390231
          DOI:10.1145/3473714

          Copyright © 2021 ACM

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          Association for Computing Machinery

          New York, NY, United States

          Publication History

          • Published: 13 August 2021

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          ICCIR '21 Paper Acceptance Rate131of239submissions,55%Overall Acceptance Rate131of239submissions,55%
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