Node deployment in wireless sensor network(WSN)is easy to appear uneven distribution and low coverage,a WSN node coverage optimization algorithm based on multi-strategy hybrid improved Harris hawk algorithm was proposed.The optimi-zation performance of the standard Harris hawk optimization algorithm was improved using Fuch infinite folding chaos initia-lization,adaptive elite individual opposition learning,sine cosine optimization and Gauss Laplace optimal solution mutation stra-tegy.The improved Harris hawk algorithm was applied to solve WSN node coverage optimization problem.Regarding the net-work coverage maximization in monitoring area as a goal,the improved Harris hawk algorithm was used to search iteratively optimal solutions of node deployment location.The results show that the improved algorithm can obtain higher network cove-rage,also reduce redundant sensor nodes and prolong network survival time.
维普
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