自适应遗传算法在WSN移动代理路由策略应用研究

Research on Applying Adaptive Genetic Algorism in Mobile Agent Routing Strategy in WSN

研究了改进的自适应的遗传算法对无线传感器网络中的移动代理迁路由优化策略;针对传统遗传算法在解决优化问题时,容易导致算法早熟而陷入局部最优解,提出了一种新的对各遗传算子进行改进的方法,同时将融合数据处理时间加入到适应度函数中,定义了一种新的使用自适应遗传算法来设计WSN移动代理的迁移路径的算法;对300*300矩形监控区域进行仿真,结果证明文中方法具有较高的计算效率,且与标准遗传算法相比,文中方法在传输能耗以及处理时间都具有较大优越性。

Ant colony algorism is used to design the strategy for mobile agent rout strategy. Aiming at the prohlem of premature of traditional gene algorism in resolving the optimizing problem, a new method for improving the gene algorlsm is proposed, moreover, the data fusion factor is also added to the fitness function, a new improved adaptive gene algorlsm is defined to design the WSN mobile agent route. The simulation experiment is in a 300 ＊ 300 rectangle monitoring area, and the result shows our method has the high efficiency, and compared with the SGA, our method has the superiority in transport energy and fusion data operating time.