基于自适应蚁群的无线传感网络节点覆盖优化方法

Adaptive ant colony based node coverage optimization method for wireless sensor networks

针对常规网络覆盖优化方法效果不佳的问题,提出了一种基于自适应蚁群的无线传感网络节点覆盖优化方法。先构建无线传感网络节点覆盖优化模型,确定网络节点覆盖消耗的能量。然后基于自适应蚁群算法修订优化模型的隶属度函数,为中继节点覆盖提供适应性。最后优化无线传感网络节点覆盖的时间复杂度,找出隶属度函数矩阵中的最佳中继节点,进而实现无线传感网络节点的有效覆盖。结果表明,该方法的覆盖优化效果更佳,能够应用于实际生活中。

Aiming at the problem of poor performance of conventional network coverage optimization methods,a node coverage optimization method for wireless sensor networks based on adaptive ant colony is proposed.Firstly,the Wireless sensor network node coverage optimization model is constructed to determine the energy consumed by the network node coverage.Then the membership function of the optimization model is revised based on adaptive ant colony algorithm to provide adaptability for re-lay node coverage.Finally,optimize the time complexity of wireless sensor network node coverage,find the best relay node in the membership function matrix,and then realize the effective coverage of wireless sensor network nodes.The results show that the coverage optimization effect of this method is better and can be applied in real life.