Sensor data acquisition method based on adaptive clustering network

Abstract

The invention discloses a sensor data acquisition method based on an adaptive clustering network. The method comprises the following steps that step 1, network nodes are interactively triggered by utilizing clustering control information to finish adaptive clustering; step 2, clustering information control is performed, including cluster head weight of each node, a clustering state, a destination node ID, a connected cluster head set and a neighbor list; step 3, in the multi-hop self-organizing network, after any node receives the clustering control information of the neighbor node, a self-learning function module extracts different states of the node for analysis; 4, in the multi-hop self-organizing network, network nodes transfer conditions according to clustering roles and clustering states of the nodes; step 5, after the cluster is established, the Sink propagates the Rup in the current round of virtual backbone network in a transmission range outside the cluster until all cluster heads have levels; the member nodes in the cluster send monitoring information to the cluster head in the TDMA time slot, and the member nodes detect the channel after sending the information. According to the method, the average routing overhead of the whole network can be quickly converged.

Description

technical field [0001] The invention relates to a sensor data collection method based on an adaptive clustering network, and belongs to the technical field of network protocol and topology control. Background technique [0002] Adaptive clustering network has very broad application prospects in military defense, environmental monitoring, etc. It is a sensor network that integrates the three major technologies of sensors, micro-electromechanical systems, and networks. . [0003] However, the uncertainty of the external environment often requires hundreds of sensors to work together, so the research on sensor networks composed of sensor nodes in large-scale wireless integrated networks is considered to be a challenging and hot research topic in this century. Compared with the traditional Adhoc network, the sensor network has the following characteristics: 1) the nodes are densely distributed; 2) the nodes are prone to failure; 3) the node resources (energy, storage and comput...

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Problems solved by technology

[0003] However, the uncertainty of the external environment often requires hundreds of sensors to work together, so the research on sensor networks composed of sensor nodes in large-scale wireless integrated networks is considered to be a challenging hot research topic in this century.

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