In the environment of wireless sensor networks, wireless channel loss model parameters is unknown, can not be directly based on RSSI ranging positioning. Application environments, such as research and the mobile anchor node-based particle swarm optimization positioning algorithm, the use of mobile anchor node instead of the traditional algorithms in static anchor nodes, and node positioning abstract for nonlinear constrained optimization problems using particle swarm optimization technique to solve positioning. Simulation results show that high positioning accuracy of the algorithm has a strong ability to adapt to changes in ambient noise.%在无线传感器网络的一些应用环境中,无线信道损耗模型参数未知,无法直接基于RSSI测距定位.本文针对这类应用环境,研究并提出基于移动锚节点的粒子群优化定位算法,利用移动锚节点代替传统典型算法中的静态锚节点,并将节点定位问题抽象为非线性约束优化问题,利用粒子群优化技术求解定位.仿真、分析结果证明,该算法定位精度较高,对环境噪声变化具有较强的适应能力.
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