CN101110713A - Information anastomosing system performance test bed based on wireless sensor network system - Google Patents
Information anastomosing system performance test bed based on wireless sensor network system Download PDFInfo
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Abstract
An information fusion system performance testing bed based on the wireless sensor network system, which can provide the high fidelity information fusion system performance testing under the condition of wireless sensor network environment. The present invention is comprised of a target emulation module, a wireless sensor network emulation module, an information fusion module, a performance assessment module, a man-machine interface module. The wireless sensor network emulation module provides the high fidelity wireless sensor network environment, and the information fusion module is hanged at the sensor node and the concourse node, to realize the testing of the information fusion system. After the on-line running of the information fusion system, the performance assessment module can assess the system according to the performance, quantitatively calculate each assessment index, each assessment index can be displayed through the man-machine interface module, and therefore the performance testing and assessment of the information fusion algorithm can be realized under the wireless sensor network environment.
Description
Technical field
The present invention relates to a kind of performance test of the information fusion system that is used for areas of information technology and the test envelope of evaluation, particularly a kind of based on the information fusion system performance test bed under the wireless sensor network system.
Background technology
Multi-source Information Fusion is a kind of multi-level, many-sided processing procedure, and it comprises multi-source data is detected, is correlated with, makes up and estimates, thus raising state and identity estimated accuracy.It is big that it has a system ovelay range, detection performance height, spatial resolution height, reliability height, the characteristics that survival ability is strong.Wireless sensor network (Wireless Sensor Network, WSN) the wired or wireless network of forming in Ad hoc mode by one group of transducer, the information of perceptive object in the geographic area that perception collaboratively, collection and processes sensor network are covered, and issue the observer.In many applications such as battle reconnaissance, environmental monitoring, traffic administration, health care and industrial production wide application prospect is arranged.Because network communication of wireless sensor resource and energy resource are limited, how to save energy in network development process, the life cycle of maximization network is the challenge that wireless sensor network faces.And the employing information fusion technology can merge the data of multi-sensor collection, can realize object of observation is better understood, and can reduce the interior volume of transmitted data of network, reduces the network energy resource consumption, prolongs network lifecycle.
Information fusion under the wireless sensor network environment is at one dynamically, carry out under the complex environment of antagonism, field test is often expensive very huge, system evaluation based on test envelope is the most feasible method at present, and the purpose of research test envelope is to make emerging system obtain assessment under true environment.In wireless sensor network, the information fusion raising of precision as a result will certainly be a cost with the traffic that increases between sensor node, thereby the consuming sensor energy shortens network lifecycle.Under wireless sensor network environment, it is conflicting improving the emerging system precision and saving energy, wireless sensor network must be situated between and trade off, and this has caused the information fusion algorithm under wireless sensor network environment is made difficulty and complexity objective, comprehensive evaluation.Domestic present test and assessment to the multi-sensor information fusion system has certain research, but all is at emerging system itself, and it all has following characteristics:
1. the emerging system test is not tested under the concrete network environment and emerging system is put into just at emerging system itself, especially tests under wireless sensor network environment.
2. the information fusion appraisement system can be estimated from accuracy of information, real-time performance with to sensitiveness three aspects of parameter usually, but can not make evaluation to the network energy expense of bringing owing to information fusion system, thereby can not satisfy the thoroughly evaluating of information fusion system under the wireless sensor network system.
Current objective examination and evaluation problem to the information fusion effect is not well solved always, find through retrieval existing technical literature, seldom relate to the report that information fusion system under the wireless sensor network system is tested and estimated in the literary composition, the shortcoming that therefore how to solve the prior art existence has become the technical task that those skilled in the art need to be resolved hurrily in fact.
Summary of the invention
The object of the present invention is to provide a kind of based on the information fusion system performance test bed under the wireless sensor network system, with realize from accuracy of information, real-time performance, to aspects such as the sensitiveness of parameter and energy charges to the information fusion system evaluation.
In order to achieve the above object, provided by the invention based on the information fusion system performance test bed under the wireless sensor network system, it comprises: the target simulator module that is used to produce the target simulation information source data that comprise target identities, attribute and movement locus; Be used for the wireless sensor network (WSN) emulation module according to the characteristics emulation wireless sensor network environment of described target simulation information source data and wireless sensor network, it comprises to the sensing Channel Elements of the sensing channel simulator of wireless sense network, to the sensor node unit of sensor node emulation, to the radio channel unit of wireless channel simulation, and to the aggregation node unit of aggregation node emulation; Dynamically carry is in described sensor node unit and aggregation node unit, is used for the data of each node of wireless sensor network of institute's emulation are carried out the information fusion module of information fusion; Be used for the result's employing after merging is comprised accuracy of information, real-time performance, the sensitiveness of parameter and a plurality of evaluation indexes of energy charge are calculated, and the performance estimation module of quantitative assessment blending algorithm; The human-machine interface module that is used for display system operating state and assessment result.
In sum, of the present invention based on the analysis of the information fusion system performance test bed under the wireless sensor network system by sensor node and aggregation node are merged information, can realize from accuracy of information, real-time performance, to aspects such as the sensitiveness of parameter and energy charges to the information fusion system evaluation.
Description of drawings
Fig. 1 is the basic framework schematic diagram based on the information fusion system performance test bed under the wireless sensor network system of the present invention.
Fig. 2 is the target simulator module basic framework schematic diagram based on the information fusion system performance test bed under the wireless sensor network system of the present invention.
Fig. 3 is the sensor node unit basic framework schematic diagram based on the information fusion system performance test bed under the wireless sensor network system of the present invention.
Fig. 4 is the aggregation node unit basic framework schematic diagram based on the information fusion system performance test bed under the wireless sensor network system of the present invention.
Fig. 5 is the sensor node information fusion algorithm test flow chart based on the information fusion system performance test bed under the wireless sensor network system of the present invention.
Fig. 6 is the convergent node information blending algorithm test flow chart based on the information fusion system performance test bed under the wireless sensor network system of the present invention.
Embodiment
See also Fig. 1, of the present invention based on the information fusion system performance test bed under the wireless sensor network system according to OO development idea, and analyzing on the basis of determining input and output, software architecture based on com component, the employing C Plus Plus is realized, provide a platform independent, can expand, reusable test environment, and divide each assembly of WSN information fusion system test envelope according to the single-minded principle of function, it comprises at least thus: the target simulator module, target truth database, the wireless sensor network (WSN) emulation module, the information fusion module, merge information data, performance estimation module, the Performance Evaluation database, and human-machine interface module, by each module is carried out independent design, realize and test, and then each module combinations got up, promptly constitute WSN information fusion system test envelope.Because each module can communicate by port transceive data and other modules, when data arrive the port of a module, this module is immediately a deal with data under the running environment independently, simultaneously, described WSN test envelope provides script interface, allow different scripts (such as Perl, Tcl, Python) integrated use.
Described target simulator module is used to produce the target simulation information source data that comprise target identities, attribute and movement locus, sees also Fig. 2, and it comprises: the target entity class that is used to provide position, speed and the target movement model of target; The target movement model class that is used to provide the basic function of target and produces pumping signal periodically; And first sensor physical layer class, be used to receive the information that described target entity class provides, and the information that provides according to described target movement model class produces the target current information, and described target current information and the pumping signal that received is sent to the sensing channel class (please be detailed later) of described wireless sensor network (WSN) emulation module.
Described target truth database is connected with described target simulator module, is used to store the target truth with the access destination truth, so can be convenient to follow-up consult etc.
Described wireless sensor network (WSN) emulation module is used for the characteristics emulation wireless sensor network environment according to described target simulation information source data and wireless sensor network, and it comprises to the sensing Channel Elements of the sensing channel simulator of wireless sense network, to the sensor node unit of sensor node emulation, to the radio channel unit of wireless channel simulation, and to the aggregation node unit of aggregation node emulation.
Described sensing Channel Elements also comprises: be used to provide the sensor node position class of the positional information of all nodes in the wireless sense network, the node location that is used for providing to obtain sensor node in sensing range according to sensor node position class, and the pumping signal that described transducer physical layer class is sent to sent to the sensing channel class of corresponding each sensor node and be used to provide each sensor node in speed of sound, the wireless sense network and target distance from the acoustic channel class of functional relation.
See also Fig. 3, described sensor node unit comprises: be used for the pumping signal that is sent to according to the described sensing channel class that receives, the target current information, the described functional relation that reaching described acoustic channel class provides is calculated the second transducer physical layer class of the pumping signal energy that receives, be used to receive pumping signal and the target information that transmits from the described second transducer physical layer class, and after therefrom extracting the signal to noise ratio information of target, again with the sensor entity class of each message transmission, receive described sensor entity class information transmitted and provide to the sensor application layer class of described information fusion module to test, be used to provide the first radio protocol stack class of network layer and data link layer (MAC layer) function, be used to realize the first wireless entity class of the transport layer functionality between the sensor application layer class and the first radio protocol stack class, each information package that is used for according to the described first radio protocol stack class described sensor application layer class being received is to send to the sensor data packet class of described radio channel unit, usually, the MAC layer adopts the IEEE802.11MAC agreement, and network layer adopts the AODV agreement based on distance vector algorithm of WSN network.
See also Fig. 4 again, described aggregation node unit comprises: be used to merge the 3rd transducer physical layer class that described wireless channel class is sent to the information of each sensor node, be used to provide the second radio protocol stack class of network layer and data link layer functions message transmission so that described the 3rd transducer physical layer class is obtained, the interface that is used to provide described information fusion module is to be mounted to described information fusion module the application-layer types that converges that described interface tests, be used to realize the described second wireless entity class that converges the transport layer functionality between the application layer and second radio protocol stack.
Described information fusion module dynamically carry in described sensor node unit and aggregation node unit, be used for the data of each node of wireless sensor network of institute's emulation are carried out information fusion, it comprises and is used to receive information that described sensor application layer class transmit and the target detection class of described information being carried out target detection, be used for target identification class that detected target is discerned, be used to receive information that described aggregation node application-layer types is sent to and the multinode target identification that described information is carried out the multinode target identification is merged class, be used for the multinode target that identifies is carried out the target association class of target association, and be used to follow the tracks of target following class through each target of target association.See also Fig. 5, when described information fusion module success carry behind described sensor node unit, it receives the information that is sent by described sensor application layer class, at first described information is carried out target detection to determine whether there is target in the described information, if do not exist target then to finish, if exist target then to adopt Target Recognition Algorithms (for example to discern based on two classification fuzzy classification devices of power spectrum characteristic to detected target, it can be according to the definite target type of sensor node output, perhaps discern based on two classification fuzzy classification devices of wavelet packet character, the target type that it also can be determined according to sensor node output) carries out target identification, be sent to the wireless channel class after at last recognition result being formed report, simultaneously described report be stored to the fusion information database.Seeing also Fig. 6, when described information fusion module success carry behind described aggregation node unit, it receives by described and converges the information that application-layer types sends, at first adopt multinode identification blending algorithm (for example based on two classification fuzzy classification devices of wavelet packet character to the information that receives, after it can be transferred to aggregation node according to the confidence level that the sensor node export target belongs to every kind, after D-S evidence theory method merges, provide target type by aggregation node) discern, and then adopt target association algorithm and target tracking algorism that it is further handled, form report at last report is stored to the fusion information database.
Described fusion information data is connected with described information fusion module, is used to store the information after the fusion, is about to each report that the information fusion module forms and is stored.
Described performance estimation module is used for the result's employing after merging is comprised accuracy of information, real-time performance, the sensitiveness of parameter and a plurality of evaluation indexes of energy charge are calculated, and quantitative assessment blending algorithm, because accuracy of information, real-time performance and the assessment of three evaluation indexes of sensitiveness of parameter is familiar with by those skilled in the art are so be not described in detail in this.Because each sensor node all has data acquisition, data processing, data communication and energy supplying functional in wireless sensor network, wherein, relative data collection and data processing, the data communication consumed energy is maximum, there are some researches show, send 1 Bit data to 100 meter far away can carry out 3000 computings apart from institute's consumed energy, so, in test emerging system algorithm consumed energy, the data communication energy consumption that adopts the main energy consumption of conduct is as the energy evaluation index, and its quantitative definition is as follows:
The energy that i single-sensor node sends a bit consumption is:
E
ti＝α
11+α
2d
n (1)
Wherein, α
11Be the energy that transtation mission circuit consumes, α
2For sending the loss consumed energy, d is the distance between two nodes, and n is an attenuation coefficient.
I single-sensor node receives a bit consumption energy and is:
E
ri＝α
12 (2)
Wherein, α
12It is the energy that receiving circuit consumes.
Suppose that i single-sensor node sends r
1Bit data receives r
2Bit data, so single-sensor node communication energy consumption is:
E
i＝(α
11+α
2d
n)×r
1+α
12×r
2 (3)
Supposing the system has m node, and then the node communication total power consumption is:
Described according to the above description performance estimation module can effectively estimate the energy consumption of system.
Described human-machine interface module is connected with described performance evaluation module, is used for display system operating state and assessment result.
Described Performance Evaluation database is connected with described performance estimation module, is used for the result after storge quality is assessed.
When described be activated based on the information fusion system performance test bed under the wireless sensor network system after, at first produce the target True Data and be deposited into target truth database by the target simulator module, target truth data send to the sensor node unit through the sensing Channel Elements with data, after the sensor node unit receives data, information fusion module through sensor application layer class carry detects, identification, after the information processings such as energy calculating, fused data is deposited into the fusion information database, and data are sent to the aggregation node unit by the wireless channel class, the aggregation node unit carries out the fusion and the target following of a plurality of sensor node recognition results to this locality fusion information that the sensor node unit sends, fusion results by the output of aggregation node unit is deposited into the fusion information database, after simulation run finishes, the order performance estimation module is according to the performance evaluation index, the data that merge in information database and the target True Data storehouse are calculated, provide evaluation result, and show through human-machine interface module, realize the test of information fusion system under the WSN system.
Three kinds of target classification algorithms under the wireless sensor network system are tested based on the information fusion system performance test bed under the wireless sensor network system when employing is of the present invention, wherein, three kinds of target classification algorithms are respectively: (1) sorting algorithm 1: based on two classification fuzzy classification devices of power spectrum characteristic, the target type that sensor node output is determined; (2) sorting algorithm 2: based on two classification fuzzy classification devices of wavelet packet character, the target type that sensor node output is determined; (3) sorting algorithm 3: based on two classification fuzzy classification devices of wavelet packet character, the sensor node export target belongs to the confidence level of every kind, transfers to aggregation node, provides target type by aggregation node after D-S evidence theory method merges.
When the test condition that adopts is: transducer adopts shock sensor, be laid with 10 sensor nodes altogether, 1 aggregation node, sensor node is laid successively along two parallel lines, horizontal spacing 10m, longitudinal pitch 5m, aggregation node is positioned at the center, target adopts heavy wheeled vehicle model, advances between two line sensors.Above-mentioned three kinds of sorting techniques are tested under different noise variance environment, and test result is as shown in table 1.T wherein
RecognizeFor be detected the time of identification from target.
Described test result such as following table 1 based on the information fusion system performance test bed under the wireless sensor network system:
Table 1 target classification test of heuristics result
| The information fusion sorting algorithm | Evaluation index | |||||
| Sensitiveness to parameter | Accuracy of information | Real-time | Energy charge | |||
| Noise variance | Recognition correct rate | The identification error rate | The fuzzy rate of identification | t recognize | Consumed energy | |
| Sorting algorithm 1 | σ＝5 | 98％ | 1％ | 1％ | 1000ms | 7.25mJ |
| σ＝15 | 90％ | 4％ | 6％ | 1000ms | 7.25mJ | |
| σ＝30 | 82.3％ | 8.5％ | 9.2％ | 1000ms | 7.25mJ | |
| Sorting algorithm 2 | σ＝5 | 98％ | 1％ | 1％ | 1000ms | 7.25mJ |
| σ＝15 | 92％ | 2.8％ | 5.2％ | 1000ms | 7.25mJ | |
| σ＝30 | 86.5％ | 4.5％ | 9％ | 1000ms | 7.25mJ | |
| Sorting algorithm 3 | σ＝5 | 99％ | 0％ | 1％ | 1200ms | 13.06mJ |
| σ＝15 | 95.2％ | 2％ | 2.8％ | 1200ms | 13.06mJ | |
| σ＝30 | 89.4％ | 3.6％ | 7％ | 1200ms | 13.06mJ | |
As shown in Table 1, provide Hi-Fi test environment based on the information fusion system performance test bed under the wireless sensor network system for the information fusion algorithm under the WSN environment, and from accuracy of information, energy charge, real-time, and comprehensively, estimate objectively, and reflect in quantitative mode to the sensitiveness of parameter.
In sum, of the present invention based on the software architecture of the information fusion system performance test bed under the wireless sensor network system based on com component, the employing C Plus Plus is realized, it can carry out information fusion system test and evaluation under the wireless sensor network system more comprehensively, objectively, include evaluation result in choosing of fusion rule and choosing of parameter, realization is to the feasibility study of the improvement of existing blending algorithm and new blending algorithm, thereby abundant and improve information fusion system framework under the wireless sensor network system.
Claims (7)
1. one kind based on the information fusion system performance test bed under the wireless sensor network system, it is characterized in that:
The target simulator module is used to produce the target simulation information source data that comprise target identities, attribute and movement locus;
The wireless sensor network (WSN) emulation module, be used for characteristics emulation wireless sensor network environment, comprise sensing Channel Elements, to the sensor node unit of sensor node emulation, to the radio channel unit of wireless channel simulation, and to the aggregation node unit of aggregation node emulation to the sensing channel simulator of wireless sense network according to described target simulation information source data and wireless sensor network;
The information fusion module, dynamically carry is in described sensor node unit and aggregation node unit, is used for the data of each node of wireless sensor network of institute's emulation are carried out information fusion;
Performance estimation module is used for the result's employing after merging is comprised accuracy of information, real-time performance, the sensitiveness of parameter and a plurality of evaluation indexes of energy charge are calculated, and the quantitative assessment blending algorithm;
Human-machine interface module is used for display system operating state and assessment result.
2. as claimed in claim 1 based on the information fusion system performance test bed under the wireless sensor network system, it is characterized in that described target simulator module comprises:
The target entity class is used to provide the basic function of target and produces pumping signal periodically;
The target movement model class is used to provide position, speed and the target movement model of target;
First sensor physical layer class, be used to receive the information that described target entity class provides, and the information that provides according to described target movement model class produces the target current information, and described target current information and the pumping signal that received are sent to described wireless sensor network (WSN) emulation module.
3. as claimed in claim 2 based on the information fusion system performance test bed under the wireless sensor network system, it is characterized in that described sensing Channel Elements also comprises: the sensor node position class that is used to provide the positional information of all nodes in the wireless sense network, the node location that is used for providing according to sensor node position class obtains the sensor node in sensing range, and the pumping signal that described first sensor physical layer class is sent to is sent to the sensing channel class of corresponding each sensor node, and be used to provide speed of sound, each sensor node in the wireless sense network and target distance from the acoustic channel class of functional relation.
4. as claimed in claim 3 based on the information fusion system performance test bed under the wireless sensor network system, it is characterized in that described sensor node unit comprises: be used for the pumping signal that is sent to according to the described sensing channel class that receives, the target current information, the described functional relation that reaching described acoustic channel class provides is calculated the second transducer physical layer class of the pumping signal energy that receives, be used to receive pumping signal and the target information that transmits from the described second transducer physical layer class, and after therefrom extracting the signal to noise ratio information of target, again with the sensor entity class of each message transmission, receive described sensor entity class information transmitted and provide to the sensor application layer class of described information fusion module to test, be used to provide the first radio protocol stack class of network layer and data link layer functions, be used to realize the first wireless entity class of the transport layer functionality between the sensor application layer class and the first radio protocol stack class, each information package that is used for according to the described first radio protocol stack class described sensor application layer class being received is to send to the sensor data packet class of described radio channel unit.
5. as claimed in claim 4 based on the information fusion system performance test bed under the wireless sensor network system, it is characterized in that described aggregation node unit comprises: be used to merge the second transducer physical layer class that described wireless channel class is sent to the information of each sensor node, be used to provide the second radio protocol stack class of network layer and data link layer functions message transmission so that the described second transducer physical layer class is obtained, the interface that is used to provide described information fusion module is to be mounted to described information fusion module the application-layer types that converges that described interface tests, be used to realize the described second wireless entity class that converges the transport layer functionality between the application layer and second radio protocol stack.
6. as claimed in claim 5 based on the information fusion system performance test bed under the wireless sensor network system, it is characterized in that described information fusion module comprises: the target detection class that is used to receive the information of described sensor application layer class transmission and described information is carried out target detection, be used for target identification class that detected target is discerned, be used to receive information that described aggregation node application-layer types is sent to and the multinode target identification that described information is carried out the multinode target identification is merged class, be used for the multinode target that identifies is carried out the target association class of target association, and be used to follow the tracks of target following class through each target of target association.
7. as claimed in claim 1 based on the information fusion system performance test bed under the wireless sensor network system, it is characterized in that also comprising: be connected with described target simulator module be used to store be connected with the target truth database of access destination truth, with described information fusion module be used to store the fusion information data of the information after the fusion, being connected with described performance estimation module is used for the Performance Evaluation database of the result after the storge quality assessment.
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| CN104348684A (en) * | 2014-11-19 | 2015-02-11 | 成都理工大学 | Method for reducing data transmission flow based on wireless sensor network nodes |
| CN108683547A (en) * | 2018-05-29 | 2018-10-19 | 中科边缘智慧信息科技（苏州）有限公司 | A kind of wireless sensor network configuration method of software definition |
| CN112132145A (en) * | 2020-08-03 | 2020-12-25 | 深圳大学 | Image classification method and system based on model extended convolutional neural network |
| CN112132145B (en) * | 2020-08-03 | 2023-08-01 | 深圳大学 | Image classification method and system based on model extended convolutional neural network |
| CN112347113A (en) * | 2020-09-16 | 2021-02-09 | 北京中兵数字科技集团有限公司 | Aviation data fusion method, aviation data fusion device and storage medium |
| CN112347113B (en) * | 2020-09-16 | 2021-12-14 | 北京中兵数字科技集团有限公司 | Aviation data fusion method, aviation data fusion device and storage medium |
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