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- W3203285216 abstract "The on-demand charging strategy in dense sensor networks is studied under the condition that the velocity of wireless charging equipment (WCE) is variable and the WCE can charge sensor nodes wirelessly while moving. Based on the existing charging path, the charging path is divided into multiple segments from the perspective of sensor node, and the velocity of WCE on each segment is controlled. In order to minimize the charging time, the WCE path optimization model is established, and an improved firefly algorithm with WCE moving velocity control (IFAVC) is proposed to optimize the WCE charging path. Simulation results show that for the scenarios with random and uniform distributions of sensor nodes, the death rates of sensor nodes after implementing the IFAVC algorithm are reduced by 17% and 20% respectively, and the total charging time is reduced by 5% and 6.4% respectively. Finally, the influence of the number of fireflies on the algorithm is analyzed taking the random distribution of 100 sensor nodes as an example." @default.
- W3203285216 created "2021-10-11" @default.
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- W3203285216 date "2021-08-01" @default.
- W3203285216 modified "2023-10-02" @default.
- W3203285216 title "The Charging Path Optimization Algorithm with the Moving Velocity Control of Wireless Charing Equipment in WRSNs" @default.
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- W3203285216 doi "https://doi.org/10.1109/bigcom53800.2021.00036" @default.
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