Abstract: An integrated algorithm based on RSSI is designed and applied to wireless sensor networks with small-world effects. Incremental position spreads from the center with super nodes to the cluster boundary，and for the same reason，algorithm reverses to relocate anchor nodes，and moves unknown nodes with a certain value according to received signal strength.Through simulation，the proposed algorithm has a better positioning performance.

摘要： 在具有小世界现象的无线传感器网络上集合RSSI算法、测距技术和遗传算法设计了一种新的节点定位综合算法。以超级节点为中心逐步向簇边缘递增式定位，再反向求解锚节点坐标，根据未知节点收到的信号强度以一定的权值进行未知节点校正。通过仿真实验验证，该算法具有较好的定位性能。