CN101841439A - Method for judging type of communication path in data acquisition and/or control terminal network - Google Patents
Method for judging type of communication path in data acquisition and/or control terminal network Download PDFInfo
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- CN101841439A CN101841439A CN 201010151506 CN201010151506A CN101841439A CN 101841439 A CN101841439 A CN 101841439A CN 201010151506 CN201010151506 CN 201010151506 CN 201010151506 A CN201010151506 A CN 201010151506A CN 101841439 A CN101841439 A CN 101841439A
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Abstract
The invention relates to method for judging the type of a communication path in a data acquisition and/or control terminal network. A network parameter measurement module is arranged in a data acquisition and/ or control device and a server; a fuzzy reasoning engine is arranged in the server; the network parameter measurement module senses as least one network parameter; after being sensed by the network parameter measurement module, the network parameter is fuzzified by the fuzzy reasoning engine to serve as the input of the fuzzy reasoning module of the fuzzy reasoning engine, and the output of the fuzzy reasoning engine is the confidence in judging type of the communication path in the data acquisition and/or control terminal network; after carrying out fuzzification on the network parameter, the fuzzy reasoning engine carries out fuzzy reasoning on the basis of a fuzzy rule set; and the type of the communication path among the data acquisition and/or control terminal and the server is judged by defuzzification. The technical scheme of the invention can realize judging whether wireless connection and a wireless multi-hop communication path exist between a node in the data acquisition and/or control terminal network and the data acquisition and/or control center.
Description
Technical field
The present invention relates to the method for type of communication path in a kind of judgment data collection and/or the control terminal network.
Background technology
Data acquisition and/or control terminal network are the elementary cells of Internet of Things, are used in environmental monitoring widely, make in the important system such as integrated, energy supply, and its network stabilization and safety are most important.Type of communication path can help to infer and whether phase-split network stablizes or whether communication path is changed or the like in judgment data collection and/or the control terminal network.
Existing technology concentrates on the perception communication path between points whether have wireless connections.Yet the low energy consumption Self-organized Topological structure that in the development of present stage of data acquisition and/or control terminal network, wire communication and wireless telecommunications combine, single-hop wireless communication paths and multihop path combine is its common network characterization.
Therefore, be necessary to study a kind of method of whether having wireless link and whether have the wireless multi-hop communication path between the node and data acquisition and/or control centre in judgment data collection and/or the control terminal network of realizing.
Summary of the invention
The objective of the invention is to overcome the deficiency that prior art exists, the method for type of communication path in a kind of judgment data collection and/or the control terminal network is provided.
Purpose of the present invention is achieved through the following technical solutions:
The method of type of communication path in judgment data collection and/or the control terminal network, characteristics are: in data acquisition and/or control terminal and server network parameter measurement module is installed, fuzzy inference engine is installed in server;
Network parameter of network parameter measurement module senses as least;
Network parameter by the network parameter measurement module perception after by the input of fuzzy inference engine obfuscation as the fuzzy reasoning module of fuzzy inference engine, the input of fuzzy reasoning module comprises at least one fuzzy language variable, input value is the result after the network parameter of perception passes through the obfuscation of obfuscation member function, and fuzzy inference engine is output as the confidence level for type of communication path in judgment data collection and/or the control terminal network;
Fuzzy inference engine carries out the fuzzy reasoning based on Fuzzy Rule Sets after with the network parameter obfuscation, Fuzzy Rule Sets comprises at least one fuzzy rule, the former piece of fuzzy rule is corresponding to the fuzzy language variable of input, and the consequent of fuzzy rule is corresponding to the fuzzy language variable of output confidence level; And then by the type of communication path between the collection of de-fuzzy judgment data and/or control terminal and the server.
Further, the method of type of communication path in above-mentioned judgment data collection and/or the control terminal network, wherein, the network parameter of described network parameter measurement module perception comprises packet between data acquisition and/or control terminal and the server a plurality of sample means and the variance of two-way time;
The input of fuzzy reasoning module comprises at least two fuzzy language variablees, corresponding to described sample mean and variance;
The obfuscation member function adopts singular point function or non critical point function;
The de-fuzzy function adopts maximum membership degree method or simple average method.
Further, the method of type of communication path in above-mentioned judgment data collection and/or the control terminal network, wherein, the form of described fuzzy rule is: if packet average two-way time little and two-way time of variance is little between control terminal for data acquisition and the server, the confidence level that exists of multi-hop communication is low so; If packet average two-way time medium and two-way time of variance is big between control terminal for data acquisition and the server, the confidence level height that exists of multi-hop communication so; If packet average two-way time big and two-way time of variance is big between control terminal for data acquisition and the server, the confidence level height that exists of multi-hop communication so.
Substantive distinguishing features and obvious improvement that technical solution of the present invention is outstanding are mainly reflected in:
1. this scheme can realize whether there is wireless link and whether has the wireless multi-hop communication path between the node and data acquisition and/or control centre in judgment data collection and/or the control terminal network;
2. by the module of adjustment fuzzy inference engine and the setting of parameter, this programme can be applied to different data acquisitions and/or control terminal network topology structure situation;
3. this programme has characteristics such as the low computation complexity of fuzzy logic and strong anti-data noise function, is suitable for the application of data acquisition and/or control terminal network.
Description of drawings
Below in conjunction with accompanying drawing technical solution of the present invention is described further:
Fig. 1: schematic flow sheet of the present invention.
Embodiment
As shown in Figure 1, the method for type of communication path is installed network parameter measurement module in judgment data collection/control terminal network in data acquisition control terminal and server, and fuzzy inference engine is installed in server;
Network parameter of network parameter measurement module senses as least;
Network parameter by the network parameter measurement module perception after by the input of fuzzy inference engine obfuscation as the fuzzy reasoning module of fuzzy inference engine, the input of fuzzy reasoning module comprises at least one fuzzy language variable, input value is the result after the network parameter of perception passes through the obfuscation of obfuscation member function, and fuzzy inference engine is output as the confidence level for type of communication path in judgment data collection and/or the control terminal network;
Fuzzy inference engine carries out the fuzzy reasoning based on Fuzzy Rule Sets after with the network parameter obfuscation, Fuzzy Rule Sets comprises at least one fuzzy rule, the former piece of fuzzy rule is corresponding to the fuzzy language variable of input, and the consequent of fuzzy rule is corresponding to the fuzzy language variable of output confidence level; And then by whether having wireless link or multi-hop communication between de-fuzzy judgment data control terminal for data acquisition and the server.
Wherein, the network parameter of network parameter measurement module perception comprises packet between data acquisition control terminal and the server a plurality of sample means and the variance of two-way time;
The input of fuzzy inference engine comprises at least two fuzzy language variablees, corresponding to described sample mean and variance;
The obfuscation member function adopts singular point function or non critical point function;
The de-fuzzy function adopts maximum membership degree method, simple average method or additive method.
The form of fuzzy rule is: if packet average two-way time little and two-way time of variance is little between control terminal for data acquisition and the server, the confidence level that exists of wireless telecommunications is low so; If packet average two-way time medium and two-way time of variance is medium between control terminal for data acquisition and the server, the confidence level height that exists of single-hop wireless telecommunications so; If packet average two-way time big and two-way time of variance is big between control terminal for data acquisition and the server, the confidence level height that exists of wireless multi-hop communication so.
Embodiment 1:
In a data acquisition by wired link/control terminal line style network, each node all is equipped with wireless communication module to be continued to get in touch in order to enabling automatically by self-organizing and neighbor node when wire communication lost efficacy.Under normal circumstances, packet average two-way time little and two-way time of variance is little between control terminal for data acquisition and the server, and this programme judges that the confidence level that wireless telecommunications exist is low.In case yet a certain section wire communication link in the line style network is out of joint and alternative by wireless telecommunications, packet average two-way time medium and two-way time of variance is medium between control terminal for data acquisition and the server so, thereby this programme will be judged the confidence level height that the single-hop wireless telecommunications exist.If the link of multistage wire communication is out of joint and alternative by wireless telecommunications in this line style network, packet average two-way time big and two-way time of variance is big between control terminal for data acquisition and the server so, thereby this programme will be judged the confidence level height of wireless multi-hop communication existence.Therefore this programme can help to detect the wired linkage fault in the network.
Embodiment 2:
In the data acquisition/control terminal network of a single-hop topological structure, server sends instruction by the single-hop wireless telecommunications to data collection/control terminal.Under normal circumstances, packet average two-way time medium and two-way time of variance is medium between control terminal for data acquisition and the server.If have stealthy node successfully to add behind the wireless network intercepting instruction and modify instruction is issued data acquisition/control terminal, packet average two-way time big and two-way time of variance is big between control terminal for data acquisition and the server so, thereby this programme will be judged the confidence level height that the wireless multi-hop communication exists, and help to detect the stealthy node in the network.
In sum, technical solution of the present invention can realize whether there is wireless link and whether has the wireless multi-hop communication path between the node and data acquisition and/or control centre in judgment data collection and/or the control terminal network; By the module of adjustment fuzzy inference engine and the setting of parameter, this programme can be applied to different data acquisitions and/or control terminal network topology structure situation; This programme has characteristics such as the low computation complexity of fuzzy logic and strong anti-data noise function, is suitable for the application of data acquisition and/or control terminal network.
What need understand is: the above only is a preferred implementation of the present invention; for those skilled in the art; under the prerequisite that does not break away from the principle of the invention, can also make some improvements and modifications, these improvements and modifications also should be considered as protection scope of the present invention.
Claims (3)
1. the method for type of communication path in judgment data collection and/or the control terminal network is characterized in that: in data acquisition and/or control terminal and server network parameter measurement module is installed, fuzzy inference engine is installed in server;
Network parameter of network parameter measurement module senses as least;
Network parameter by the network parameter measurement module perception after by the input of fuzzy inference engine obfuscation as the fuzzy reasoning module of fuzzy inference engine, the input of fuzzy reasoning module comprises at least one fuzzy language variable, input value is the result after the network parameter of perception passes through the obfuscation of obfuscation member function, and fuzzy inference engine is output as the confidence level for type of communication path in judgment data collection and/or the control terminal network;
Fuzzy inference engine carries out the fuzzy reasoning based on Fuzzy Rule Sets after with the network parameter obfuscation, Fuzzy Rule Sets comprises at least one fuzzy rule, the former piece of fuzzy rule is corresponding to the fuzzy language variable of input, and the consequent of fuzzy rule is corresponding to the fuzzy language variable of output confidence level; And then by the type of communication path between the collection of de-fuzzy judgment data and/or control terminal and the server.
2. the method for type of communication path in judgment data collection according to claim 1 and/or the control terminal network is characterized in that: the network parameter of described network parameter measurement module perception comprises packet between data acquisition and/or control terminal and the server a plurality of sample means and the variance of two-way time;
The input of fuzzy reasoning module comprises at least two fuzzy language variablees, corresponding to described sample mean and variance;
The obfuscation member function adopts singular point function or non critical point function;
The de-fuzzy function adopts maximum membership degree method or simple average method.
3. the method for type of communication path in judgment data collection according to claim 1 and/or the control terminal network, it is characterized in that: the form of described fuzzy rule is: if packet average two-way time little and two-way time of variance is little between control terminal for data acquisition and the server, the confidence level that exists of multi-hop communication is low so; If packet average two-way time medium and two-way time of variance is big between control terminal for data acquisition and the server, the confidence level height that exists of multi-hop communication so; If packet average two-way time big and two-way time of variance is big between control terminal for data acquisition and the server, the confidence level height that exists of multi-hop communication so.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN103308199A (en) * | 2013-06-03 | 2013-09-18 | 合肥天海电气技术有限公司 | Wireless temperature detecting monitoring system for grid operation equipment based on fuzzy processing |
| CN106375313A (en) * | 2016-08-31 | 2017-02-01 | 成都秦川科技发展有限公司 | Information transmission method, apparatus and system based on private information channel of Internet of things and public network fuzziness |
| CN111257592A (en) * | 2020-03-05 | 2020-06-09 | 广东零偏科技有限公司 | Static discrimination method for detection device |
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| CN101346928A (en) * | 2006-01-19 | 2009-01-14 | 三星电子株式会社 | Method and apparatus for transmitting content to device which does not join domain |
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| CN1702987A (en) * | 2004-05-28 | 2005-11-30 | 朗迅科技公司 | Method and apparatus for determining a distance between a base station and a mobile unit |
| CN101346928A (en) * | 2006-01-19 | 2009-01-14 | 三星电子株式会社 | Method and apparatus for transmitting content to device which does not join domain |
| CN101374085A (en) * | 2007-08-21 | 2009-02-25 | 三星电子株式会社 | Method and apparatus for checking round trip time based on challenge response |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN103308199A (en) * | 2013-06-03 | 2013-09-18 | 合肥天海电气技术有限公司 | Wireless temperature detecting monitoring system for grid operation equipment based on fuzzy processing |
| CN106375313A (en) * | 2016-08-31 | 2017-02-01 | 成都秦川科技发展有限公司 | Information transmission method, apparatus and system based on private information channel of Internet of things and public network fuzziness |
| CN111257592A (en) * | 2020-03-05 | 2020-06-09 | 广东零偏科技有限公司 | Static discrimination method for detection device |
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Application publication date: 20100922 |