Research On A Complex Event Detection For Shipboard Surveillance Sensor Networks

Shipboard surveillance sensor networks is the way to prevention and elimination the danger in ship. Sensor network is the direction of security monitoring development in future, which has succeeded in some areas.Radio Sensor network as an efficient data collection and automatic identification technology has broad application prospects in manufacturing, logistics, medical, transportation and retail etc. But with the rapid development of sensor technology and its expanding application scale, sensor systems will produce large amounts of data, the data volume exceeds the capacity of present information systems. Therefore, complex event detection technology has become one of key technologies in sensor network, and complex event detection mechanism is to be recognized asan effective method of sensor data processing. In addition, sensor network is very anti-interference and unaffected by the Environment, so sensor network is very suitable for application in the Shipboard surveillance network. The data processing is the important task of Shipboard surveillance sensor networks. At present, the data processing algorithm depends on the hardware platform highly, which undoubtedly affected the flexibility and availability of the system.Composite event detection technology is a new technology which is used to extract, analysis and deal with the information of the distributed system. The requirements of the application system based on the eventsis different in different fields. So event detection model based on the application is very necessary for a particular field.This thesis design and implement the event detection algorithm, which has nothing to do with hardware platform. The algorithm based on the event-tree is proposed. It has very strong universality. And the algorithmdoes not rely on hardware platform.If the real-time monitoring can get enough information of target state, it can be concluded that the potential danger of information. And the thesisdesign the detection rules for shipboard surveillance.At the same time, the thesis design the particular application type of composite event detection model for Shipboard surveillance sensor networks based on the characteristics of the system, events will be divided into spontaneous events and pseudo events by event-tree, and the thesisdefine the event tree detection model. And the thesis proved that the composite event tree event detection algorithm is effective and suitability.At last, this paper analyses theshortcoming of complex event detection for shipboardsurveillance sensor networks, and the future work were discussed.The algorithm is in need of improvement, and it can make the composite event detection technology better applied to shipboard surveillance sensor networks.