首页> 外国专利> HETEROGENEOUS SENSING DATA COLLECTION METHOD BASED ON MULTIPLE REPRESENTATIVE NODES AND MULTILEVEL FUSION

HETEROGENEOUS SENSING DATA COLLECTION METHOD BASED ON MULTIPLE REPRESENTATIVE NODES AND MULTILEVEL FUSION

机译:基于多代表点和多层次融合的异构数据收集方法

摘要

Disclosed is a heterogeneous sensing data collection method based on multiple representative nodes and multilevel fusion. The method of the present invention is divided into two parts. 1. For each type of sensing data, multiple data coverage sets are formed in an entire wireless sensor network, and a difference between data in the same data coverage set is less than a specified threshold. In this way, for each data coverage set, sensing values of the entire set can be represented by one representative node. This reduces, at the first level, the volume of data transmitted by the network. 2. During a process of routing data of representative nodes to a base station, representative nodes of a same type of data may be converged onto one path as far as possible according to a routing algorithm provided in the present invention, such that the same type of data is fused again to reduce again the volume of data needing to be transmitted to the base station. Therefore, the method of the present invention can prominently improve the service life of a network.
机译:公开了一种基于多个代表节点和多级融合的异构传感数据收集方法。本发明的方法分为两部分。 1.对于每种类型的传感数据,在整个无线传感器网络中形成多个数据覆盖范围集合,并且同一数据覆盖范围集合中的数据之间的差异小于指定的阈值。这样,对于每个数据覆盖范围集合,整个集合的感测值可以由一个代表性节点表示。在第一级,这减少了网络传输的数据量。 2.在将代表节点的数据路由到基站的过程中,根据本发明提供的路由算法,可以将相同类型数据的代表节点尽可能收敛到一条路径上。数据再次融合,以再次减少需要传输到基站的数据量。因此,本发明的方法可以显着提高网络的使用寿命。

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