最大化最小能耗概率的移动Sink无线传感器网络数据收集方法

A Data Collection Method by Maximizing Minimum Probability of Energy Consumption for Mobile Sink Based WSNs

在基于移动sink传感器网络中,传感器节点能量受限,数据收集的能耗问题一直是研究的热点.通过建立最大化最小能耗概率模型,提出一种最大化最小能耗概率(Maximizing Minimum Probability of Energy Consumption,MMPEC)数据收集方法.MMPEC对网络中子节点与汇聚节点之间的路径长度进行分布式优化,使得整个网络的能耗达到最低的概率最大化.仿真结果表明,MMPEC在能耗方面优于同类基于移动sink的WSN分层数据收集方法.

In the mobile sink based sensor networks,the energy consumption issue becomes the key point because of energy constraint on sensor nodes.We established a maximizing minimum probability of energy consumption model,and gave a strong mathematical proof.We also proposed a maximizing minimum probability of energy consumption（MMPEC） data collection algorithm based on this model.MMPEC optimize the length of path distributed between child nodes and the aggregation nodes,and achieves low energy consumption of the whole network.The simulation results show that MMPEC is far superior to other hierarchical data collection methods based on a mobile sink in energy consumption.