基于萤火虫群优化算法的无线传感器节点部署

为了提高传感器节点部署覆盖率，针对目前网络覆盖存在覆盖死角、节点冗余及不能再度优化的问题，在检测区域已知的情况下，提出基于萤火虫群优化(GSO)算法的传感器节点部署方案,并对原方案进行改进。该算法中，传感器节点等同于萤火虫，覆盖信号强度即是荧光素浓度，首先对节点进行随意初始部署，然后通过计算移动概率的大小，判断节点移动方向，最终完成节点部署。实验仿真表明，该部署方法适用于大量传感器节点部署，覆盖面积广，灵活性强。

Node deployment of wireless sensor network based on glowworm swarm optimization algorithm

In order to improve the coverage rate of the sensor node deployment, concerning the coverage trap, nodes redundancy and no re optimization, a senor nodes deployment based on glowworm swarm optimization was proposed when the detection area was known. And the optimization had been improved. In this algorithm, each senor node was considered as a glowworm, and the intensity of signs was the intensity of luciferin. Firstly, the initial deployment of nodes was done. Then, after calculating the value of the movement probability, the direction of movement was determined as well as the direction of movement. Finally, the deployment of sensor nodes was finished. The simulation results show that this way of deployment is appropriate to the huge amounts of sensor nodes deployment, and has such characteristics as high coverage rate and strong flexibility.