“小世界”无线传感器网络的最佳近邻节点数

Optimal neighboring nodes of “small-world” wireless sensor networks

为了进一步降低“小世界”无线传感器网络的平均路径长度,以节省更多的能量,本文基于“小世界”传感器网络模型研究了传感器节点的最佳近邻节点数。研究表明,给定传感器网络节点数和重连概率后,当网络的近邻节点数取合适的值时,平均路径长度还将进一步降低。继续增大近邻节点数则网络平均路径长度变化不大。因此,出于节能考虑,提出了最佳的“小世界”传感器网络中的近邻节点数。利用复杂网络的小世界网络效应探讨了无线传感器网络的近邻节点数。研究表明,适当调整无线传感器网络的近邻节点数,不但仍然能够保持无线传感器网络的小世界效应,还可以使无线传感器网络的平均路径长度进一步降低。

To reduce the average path length of the wireless sensor networks so as to increase energy efficiency, the optimal neighboring nodes are investigated based on ＂small-world＂ WSNs model. It is shown that for a given number of sensor nodes and rewired probability, the average path length of a network can be further reduced dramatically at some reasonable neighboring nodes. However, keep on increasing of neighboring nodes can not make it change much. The optimal numbers of neighboring nodes in ＂small-world＂ WSNs are proposed for energy efficiency.