【摘要】 为了提高传统无线传感网络路由的性能，提出基于改进蚁群算法的无线传感网络路由优化方法，包括路由控制层、SDN信息收集层和数据转发层。借助参考节点和锚节点确定未知节点位置，并根据节点位置设计优化目标函数。通过改进蚁群算法中的转移概率和信息素浓度，求解目标函数，获得最佳的路由方案。实验结果表明，该方法在能量消耗、传输时延、死亡节点数量和网络吞吐量等方面均有明显改善，有效提高了无线传感网络路由的性能。更多还原

【Abstract】 In order to improve the performance of traditional wireless sensor network routing, a wireless sensor network routing optimization method based on improved ant colony algorithm is proposed, including routing control layer, SDN information collection layer, and data forwarding layer. The unknown node position is determined using reference nodes and anchor nodes, and an optimized objective function is designed based on the node position. By improving the transition probability and the pheromone concentration in ant colony algorithm, the objective function is solved to obtain the optimal routing solution. The experimental results show that the situations of energy consumption, transmission delay, the number of dead nodes, and network throughput are improved by the method, effectively enhancing the performance of wireless sensor network routing.更多还原