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Wireless sensor network isomerism information fusion decision-making system

A wireless sensor and fusion decision-making technology, which is applied in the field of wireless sensor network heterogeneous information fusion decision-making system, can solve the problems of lack of scalability and flexibility and fault tolerance, and achieve the goal of increasing scalability and flexibility and improving fault tolerance Effect

Inactive Publication Date: 2013-05-08
CHANGSHU RES INSTITUE OF NANJING UNIV OF SCI & TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, these solutions lack sufficient scalability and flexibility and sufficient fault tolerance

Method used

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  • Wireless sensor network isomerism information fusion decision-making system
  • Wireless sensor network isomerism information fusion decision-making system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0018] Such as figure 1 As shown, the system consists of four layers: physical layer, interface layer, service layer and application layer.

[0019] The sensor data dictionary in the figure consists of several database tables, including:

[0020] (1) Sensor model association table: establish a mapping relationship between the sensor network address and the sensor model, which is the entry point for data packet analysis, and the fields include sensor network address and sensor model;

[0021] (2) Sensor data fusion function table: establish a mapping relationship between the sensor model and its fusion algorithm and interface function, which is used for sensor data packet analysis and data fusion. It is the core of data packet analysis and data fusion. The fields include sensor Model, interface function name, fusion algorithm, etc.;

[0022] (3) Sensor attribute table: record the characteristic attributes of various types of sensors, and provide necessary attribute informati...

Embodiment 2

[0034] The following is an example of detecting abnormal temperature changes. Assume that the data packets received within a period of time (2012-03-26 8:19:29 to 2012-03-26 8:41:07) are as shown in Table 1:

[0035] receiving time receive packets 2012-03-26 8:19:29 0001?1111 2012-03-26 8:20:30 0010?1110 2012-03-26 8:20:36 0110?1001 2012-03-26 8:21:41 0001?1111 … … 2012-03-26 8:41:07 0101?0011

[0036] The required calculation factors are: temperature difference, coordinates, and time difference. Therefore, select the corresponding attributes in the database table to form the primary fusion data information table after data preprocessing, as shown in Table 2, and save it in the database.

[0037] sensor network address sensor type coordinate Data sending time data 0x0008 temperature 127，321 2012-03-26 8:19:29 17.2 0x001D temperature 165，325 2012-03-26 8:20:10 18.4 0x0021 temperature 2...

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Abstract

The invention discloses a wireless sensor network isomerism information fusion decision-making system which is divided into a physical layer, an interface layer, a service layer and an application layer. A sensor data dictionary is built through a data package structure and a data pattern of the sensor, the sensor data package is analyzed, and a decision-making level data fusion mode is adopted to be used as the data fusion mechanism of the system to achieve the information fusion decision of the sensor network. The wireless sensor network isomerism information fusion decision-making system adopts laminated design, not only shields isomerism of the physical equipment at the bottom layer and data, but also greatly increases expansibility and flexibility of the system, in addition, the adoption of decision level fusion improves fault tolerance of the system.

Description

technical field [0001] The invention belongs to the field of wireless sensor networks, in particular to a wireless sensor network heterogeneous information fusion decision system. Background technique [0002] In recent years, sensor networks have been applied on a large scale, including environmental monitoring, military fields, medical care, etc. One of the research hotspots is information fusion. Due to the complexity of the application environment, many types of sensors usually coexist in the sensor network. The first problem to achieve the goal of information fusion is to solve the heterogeneity of sensors in the network. At present, the common methods to solve this problem are: using middleware technology (such as jini technology, COEBA technology, DCOM technology, etc.) . However, these solutions above lack sufficient scalability and flexibility as well as sufficient fault tolerance. Contents of the invention [0003] 1. Purpose of the present invention. [0004...

Claims

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Application Information

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IPC IPC(8): H04L29/08H04L29/12H04W84/18
Inventor 李千目茅海雁戚湧侯君
Owner CHANGSHU RES INSTITUE OF NANJING UNIV OF SCI & TECH
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