The Optimization of Genetic Algorithm in Wireless Sensor Network Coverage

Provided by: Science & Engineering Research Support soCiety (SERSC)
Topic: Mobility
Format: PDF
According to the maximum coverage problem in wireless sensor networks, Genetic Algorithm (GA) algorithm combined with the standard processing method can improve the network coverage based on, but there is a risk of falling into local optimum and costs more computation time. On the condition of analysis and proof of the effectiveness by the employment of normalization processing to resolve coding redundancy of MCSDP, further details of the evaluate conditions are proposed and new parent selection mechanism is introduced, which both are verified by compared experiments.

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