无线传感网络中神经网络路由算法

针对大规模传感网络的特点,提出了一种新的神经网络的路由优化算法。该算法在满足时延约束条件下能快速选择出最小能耗的优化路由。同时文中给出能量函数各参数之间的关系,并证明了通过适当选取参数,可保证网络的可行解将是渐进稳定的。计算实例表明了该算法的可行性。最后通过不同规模的网络仿真,显示该算法可有效地用于大规模无线传感网络。

New Neural Network Based Routing Optimal Algorithm in Wireless Sensor Networks

The power consumption is an important problem in wireless sensor networks.The minimum total power consumption routing algorithm based on multi-hop with short distance can increase network delay.A new neural network based routing optimal algorithm is presented on the characters of large-scale wireless sensor networks.The minimum power consumption route is selected under delay constraint.The energy function coefficients are given and the feasible solution to the problem is proved to be asymptotically stable if network coefficients can be appropriately selected.An example demonstrates that the algorithm is effective.Finally,simulation results of different network sizes confirm that the algorithm can be used well in large-scale wireless sensor networks.