在无线传感器网络中,综合考虑网络层、MAC层、物理层的网络生命周期最大化问题是一个非凸优化问题。文章基于同步小规模网络,采用没有链路干扰的时分复用(TDMA)调度技术和可变调制星座体积的传输方案,将非凸优化问题转换为一个凸优化问题[3]。毫无疑问,物理层参数的适应性可以提高网络生命周期,但是当物理层不存在适应性的情况下,文章提出一种迭代算法,能够使网络生命周期接近物理层参数变化时所获得的最大网络生命周期。 In wireless sensor networks, considering the network layer, MAC layer and physical layer, the problem of maximizing the network lifetime is a non-convex optimization problem. Based on the synchronous small-scale network, the non-convex optimization problem is transformed into a convex optimization problem [3] by adopting TDMA scheduling technique without link interference and variable modulation constellation volume transmission scheme. There is no doubt that the adaptability of the physical layer parameters can improve the life cycle of the network. However, when there is no adaptability in the physical layer, the article proposes an iterative algorithm that can make the network life cycle approach to the maximum obtained when the physical layer parameters change Network life cycle.