提出一种基于节点间空间相关性的数据传输策略SCDF,根据空间相关性,各个节点间感知自身到目的节点的距离,并依此来计算传输概率值。节点传输概率即感知节点把消息传递给目的节点的可能性,它是消息传递时选择下一跳的重要依据。仿真模拟实验表明,与现有的直接传递(DD)算法和Epidemic算法相比,SCDF能以较低的数据传输开销和传输延迟获得较高的数据传输率。
This paper proposed a novel data gathering and forwarding scheme named spatial correlation data forwarding(SCDF).SCDF introduced a small overhead to gain the relative distance from a node to a sink node and then to calculate the node forwarding probability,which gave a guidance to message transmission based on spatial correlation between nodes.Simulation results show that SCDF does not only achieve a relatively low data forwarding energy consumption,but also get the higher message forwarding ratio with lower transmission overhead and data forwarding delay than direct delivery(DD) and Epidemic algorithms.