中文说明：
本文提出了一种新的、计算高效的基于群智能的全局I<优化方法，用于定位WSN环境中的ti节点。将所有相邻锚节点的均方距离误差作为该非线性优化问题的目标函数d。粒子群c优化（PSO）是一种高性能的随机全局b优化工具，它确保了目标a函数的最小化。
English Description：
This article proposes a new and computationally efficient global I< Optimization method for locating ti nodes in WSN environment. Take the mean square distance error of all adjacent anchor nodes as the objective function d of this nonlinear optimization problem. Particle Swarm Optimization (PSO) is a high-performance stochastic global b optimization tool that ensures the minimization of the objective a function