Sensor network fault active sensing method and system

Abstract

The invention discloses a sensor network fault active sensing method and system. The method comprises the steps that a multi-way tree of a topological structure in a cluster area is constructed according to a topological graph generated by clustered nodes; each leaf node sequentially judges whether the currently communicating leaf node is a fault node or not according to a consensus mechanism; afault node is marked, and a sub-tree which does not contain the fault node is regenerated; and a multi-way tree is formed in the clustering area through the consensus mechanism, so that the stabilityof the quality of the data acquired by each partition in the wireless sensor network is improved. The fault area is determined to be limited in the sub-tree of each multi-way tree, so that the energyconsumption is greatly reduced. Compared with other full-area fault node elimination methods through fault sensing, the method has the advantages that the network survival time is prolonged, the areaswhere the fault nodes appear can be roughly known through a base station, and therefore the areas where the fault nodes exist can be rapidly positioned.

Description

Technical field [0001] The present disclosure relates to the field of sensor network and equipment fault diagnosis, and in particular to a method and system for actively sensing sensor network faults. Background technique [0002] In traditional wireless sensor networks or other hierarchical topology sensors, due to the clustering and routing characteristics of the network, the energy loss of the cluster head nodes is fast and cannot be supplemented, resulting in a shorter network life than sensors transmitted by normal wired networks. Moreover, because the locations of wireless sensor network nodes are random, it is generally difficult to know their fixed locations. Even due to the characteristics of clustered networks, it is difficult to detect and perceive a large number of node damage in some clustered areas. The vicious circle further shortens the service life of the entire network and reduces the reliability of network data monitoring. Therefore, it is necessary to provide ...

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Problems solved by technology

[0002] In traditional wireless sensor networks or other hierarchical topological sensors, due to its network cluster routing characteristics, the energy loss of cluster head nodes is fast and cannot be replenished, resulting in a shorter network life than normal wired network sensors. Moreover, because the positions of the wireless sensor network nodes are randomly arranged, it is generally difficult to know their fixed positions. Even due to the characteristics of the cluster network, it is difficult to detect and perceive a large number of damage to the nodes in some cluster areas, resulting in The vicious cycle further shortens the service life of the entire network and reduces the reliability of network data monitoring. Therefore, it is necessary to provide a method for quickly sensing node damage in this clustered wireless sensor network topology environment situation, so that maintenance personnel and users can roughly understand the failure rate of the current wireless sensor network, so as to respond to improve the quality of data monitoring and improve the service life of the network. When necessary, the damaged area can be roughly located to increase nodes, so as to achieve Indirect fix for network-aware communication effects

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