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本发明涉及一种基于树状簇结构的无线传感器网络移动数据收集方法,包括:基于权重的成树方案,每个节点选取一跳范围邻居节点中权重最大的节点为父节点,建成树之后,每棵树上权重最大的根节点将作为数据汇聚点Rendezvous Point(RP);基于距离根节点的跳数和流量负载对树进行分割并选取树内子汇聚点SubRendezvous Point(SRP)的方法;RP和SRP将作为移动数据收集器(MDC)的驻留收集点,且在一定周期后重选即重新成树。因此,本发明实现了均衡网络负载,降低节点能耗,有效缓解hotspot问题,延长网络生命的目的。
A method for collecting movement data of a wireless sensor network based on a tree-like cluster structure includes: a tree-based weight-based solution. Each node selects a node with a largest weight among the neighboring nodes in a jump range as a parent node, and after building a tree, The root node with the heaviest weight on each tree will be Rendezvous Point (RP); the method of segmenting the tree based on the hop count and traffic load of the distance root node and selecting the SubRendezvous Point (SRP) within the tree; RP and The SRP will serve as a collection point for the Mobile Data Collector (MDC) to reside and resend after a certain period of time. Therefore, the present invention achieves the purpose of balancing network load, reducing node energy consumption, effectively alleviating the hotspot problem, and prolonging network life.