基于烟花算法的无线传感器网络节点定位

Node Localization in Wireless Sensor Networks Using Fireworks Algorithm

针对无线传感器网络(WSN)节点定位不稳定和不准确的问题,将烟花算法(FWA)应用于WSN定位,利用烟花产生的火花数量和爆炸幅度模拟节点定位过程中的锚节点数量和节点距离,实现无线传感器网络的节点定位。MATLAB仿真实验结果显示,随着锚节点数量的增加,FWA无线传感器网络定位误差减少,且当传感器节点62%以上为锚节点时,FWA定位误差最小。这说明FWA无线传感器网络定位精度较高,性能稳定,在无线传感器网络节点定位上具有较大的优势。

Aiming at the problem of unstable and inaccurate node localization in wireless sensor net- works（WSN）, a new swarm intelligence algorithm, called firework algorithm（FWA）, is proposed to be applied to WSN localization. Using the number of sparks produced by fireworks and the explosion amplitude, the number of anchor nodes and the distance between nodes are simulated to locate the nodes of wireless sensor networks. MATLAB simulation results show that FWA wireless sensor network localization errors decrease with the increase of the number of anchor nodes. When the sensor node is above 62 % of the anchor node, the FWA algorithm has the least localization error,. This shows that the FWA wireless sensor network has higher positioning accuracy and more stable performance. It has great advantages in wireless sensor network node localization.