Online detection method for time and space abnormal events by river network

An abnormal event and detection method technology, applied in electrical components, network topology, wireless communication, etc., can solve the problem of not being able to comprehensively consider the spatial and temporal correlation of network abnormal events, and achieve the goal of terminating pollution propagation, improving detection efficiency, and shortening response time. Effect

Active Publication Date: 2015-07-29
HOHAI UNIV
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Problems solved by technology

[0005] Purpose of the invention: a method for detecting spatio-temporal anomalies in online river networks, solving the problem that the prior art cannot comprehensively consider the spatio-temporal correlation of network anomalies

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  • Online detection method for time and space abnormal events by river network
  • Online detection method for time and space abnormal events by river network
  • Online detection method for time and space abnormal events by river network

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Embodiment Construction

[0039] Below in conjunction with specific embodiment, further illustrate the present invention, should be understood that these embodiments are only used to illustrate the present invention and are not intended to limit the scope of the present invention, after having read the present invention, those skilled in the art will understand various equivalent forms of the present invention All modifications fall within the scope defined by the appended claims of the present application.

[0040] The present invention provides an embodiment of an online river network spatiotemporal abnormal event detection algorithm, figure 1 It is the general frame diagram of spatio-temporal anomaly event detection in online river network. It can be seen that the main steps of the embodiment of the present invention are as follows:

[0041] (1) Use the connected dominance set algorithm to select the backbone nodes, and monitor the time and space status of the backbone nodes online instead of monit...

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Abstract

The invention discloses an online detection method for time and space abnormal events by a river network. The online detection method comprises the following steps of firstly, selecting backbone nodes by using a connected dominating set algorithm, and only detecting the states of the backbone nodes in each time stamp sensor network; secondly, detecting whether the time and space abnormal events occur in the backbone nodes or not; if the backbone nodes have time abnormality, adding child nodes of the backbone nodes in a detected candidate set; detecting whether the backbone nodes having the time abnormality are deviated from the spatial relation obtained by learning or not by comparing the expected state obtained by Bayesian network learning with the observation state; if the spatial abnormality occurs, adding one to a time and space abnormality counter; at next time stamp, widening the detection range including the backbone nodes and nodes in the candidate set, and continuously detecting whether the space abnormality or the time abnormality occurs or not; finally, when the number of the backbone nodes and the nodes of the candidate set of the backbone nodes with the time and space abnormalities reaches a threshold Q, considering that the time and space abnormal events occur.

Description

technical field [0001] The invention relates to the technical field of wireless sensor network detection, in particular to a method for detecting spatio-temporal abnormal events in a river network wireless sensor network using a decentralized method. Background technique [0002] With the rapid development of sensor technology and the increasing maturity of wireless communication technology, wireless sensor networks are widely used in ecological scientific observation, environmental monitoring, disaster early warning, and national defense and military fields. In these practical applications, automated anomaly event detection functions are essential. Generally speaking, in order to take corresponding remedial measures for network abnormalities as soon as possible, it is necessary to detect all sudden events that affect system applications in real time, including physical phenomena, pollutant monitoring, etc., and then give early warning prompts. Sensors are deployed in the r...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30H04W84/18
Inventor 毛莺池接青贾必聪平萍王龙宝许峰周晓峰
Owner HOHAI UNIV
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