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为了在移动传感器网络中进行有效的数据传输,首先用布朗运动和多维正态分布,给出了一个节点做随机运动和数据成功传输率之间的关系,即,一个传感器节点达到接收器节点的概率仅取决于它的运动活性。然后,设计了一个基于节点运动活性的移动传感器网络传输算法,传感器节点之间通过比较运动活性来决定传输的对象。因为该方法不要求节点同构,所以普遍适用于任何移动传感器网络。模拟实验结果显示,该方法有非常高的数据传输率,非常低的延迟,以及可接受的额外开销。
In order to carry on the effective data transmission in the mobile sensor network, the relationship between random motion and data successful transmission rate is given by using Brownian motion and multidimensional normal distribution first. That is, one sensor node reaches the receiver node The probability depends only on its motor activity. Then, a mobile sensor network transmission algorithm based on node activity is designed. Sensor nodes determine the object to be transmitted by comparing their activity. Because this method does not require nodes to be isomorphic, it is universally applicable to any mobile sensor network. Simulation results show that the method has a very high data transfer rate, very low latency, and acceptable overhead.