Network Coverage Optimization Strategy Based on WSN Hybrid Virtual Force Algorithm
Aiming at the problems of low random deployment coverage of nodes and high node redun-dancy in wireless sensor networks(WSN),an improved hybrid virtual force algorithm(HVFA)is proposed.First,the step size iteration function in the virtual force algorithm(VFA)is optimized into an exponential decreasing function.Secondly,the foraging optimization method of the fruit fly optimization algorithm(FOA)is introduced,and Levy flight guidance strategy is adopted to improve the calculation mode for individual updates of fruit flies,so that the individual of fruit flies searches in a random manner with different iteration steps and directions,the optimization capabilities of the algorithm is optimized and avoiding the algorithm from falling into local extremes in the later stage is avoided.The simulation test results show that the proposed improved algorithm has better network coverage,fast convergence speed,and can effectively reduce node redundancy.
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