针对传统粒子群算法容易陷入早熟陷阱而导致无线传感网络(WSN)的覆盖优化效果欠佳的现象，提出一种引入种子杂交策略的粒子群优化(PSO)改进算法。通过将前期的PSO 算法寻优与后期的种子杂交策略相结合，从而完成覆盖性能的优化。综合理论分析与实验仿真可知，相比于其他算法，本文算法改善了覆盖率与RD 指标，在改善网络覆盖性能方面具有一定优势。

Traditional PSO(Particle Swarm Optimization) algorithm is liable to fall into the trap of premature, which will lead to poor optimization coverage results of WSN(Wireless Sensor Network). An improved PSO algorithm with the strategy of hybrid seeds is proposed. It completes the coverage performance optimization through combining the early post-PSO algorithm and hybrid seeds strategy. In contrast to other algorithms, this proposed algorithm can improve the coverage and RD index according to theoretical analysis and simulation results.