基于灰色预测与演化博弈铀尾矿库无线传感网络路由算法

针对现有的分簇路由无法平衡成簇合理性和信道质量，造成网络负载不均和部分簇成员射频能量浪费的问题，结合铀尾矿库监测环境，提出一种多簇头选择的路由算法（MHSR）。首先建立铀尾矿库监测模型，采用灰色预测法得出放射性核素迁移规律，确定sink节点位置；然后基于各节点之间的演化博弈理论确定成簇机制，均衡网络负载；并通过信道评级，减小部分信道射频功率，以延长网络寿命。仿真结果表明：MHSR与CCREG、CMIMO相比，在不同的网络大小及节点密度条件下，显著地延长了网络生存周期。

A Routing Algorithm Based on Grey Forecasting Method and Evolutionary Game for Monitoring in Uranium Tailings

The rationality of forming clusters and the channel quality has not been balanced in existing cluster routings, causing unbalanced load on network and waste on radio frequency(RF) power. A Multi-host Selecting Routing algorithm(MHSR) is proposed for monitoring in uranium tailings. Firstly, based on the uranium tailing model, the migrating regularity of radionuclide concluded by Grey Forecasting Method is used to set sink nodes. Secondly, based on evolutionary game, clusters can be rationally formed. Finally, due to the result of channel rating, the radio frequency is reduced, and network lifetime can be prolonged. The simulation result shows that compared with CCREG and CMIMO, the network lifetime of MHSR can be prolonged significantly in the different network scale and node density.