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- W2894574404 abstract "This work presents the application of Hydrologic Cycle Optimization (HCO) for RFID network planning (RNP). An integrated model is presented in this paper to evaluate the RNP’s fitness which lays emphasis on coverage, load balance, interference and economic efficiency of the RFID system. The fitness function based on this integrated model uses the power of the tag received from every reader replacing the previous one–distance to calculate the coverage and interference. This substitute makes our model accurately reflects the real situation. HCO algorithm is used to find the optimal position and power of the readers with the minimum value of the fitness function based on the model above. The solution of RNP is optimized by searching for the best value of the parameters (position and power) which are mathematically denoted as a vector whose length is 3N (N is the readers’ count). The encoding of this vector consists of the coordinates of each reader and their radiated power. The first 2N length is the coordinates of each reader, and the rest is their power. In the proceeding of finding the optimal position and power, the four factors mentioned above are considered and the best individual will be tracked. To demonstrate the effectiveness and efficiency of HCO, we make a comparison among HCO, PSO, GA, SA-ES. As the result indicates, the HCO algorithms has the best performance of RNP among all the algorithms both the best and the worst situation." @default.
- W2894574404 created "2018-10-12" @default.
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- W2894574404 date "2018-01-01" @default.
- W2894574404 modified "2023-09-24" @default.
- W2894574404 title "HCO-Based RFID Network Planning" @default.
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- W2894574404 doi "https://doi.org/10.1007/978-981-13-2829-9_40" @default.
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