CN102137425A - Link-quality-evaluating method and device - Google Patents
Link-quality-evaluating method and device Download PDFInfo
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Abstract
The invention discloses a link-quality-evaluating method and a link-quality-evaluating device and belongs to the field of network test. The method comprises the following steps of: acquiring link quality indicators of all data packets in a preset sampling window on the link; acquiring a link quality deviation rate in the preset sampling window according to the link quality indicators of all data packets in the preset sampling window, wherein the link quality deviation rate is a change rate of the link quality indicator of the data packet; and evaluating the link quality according to the link quality deviation rate and a preset threshold value. The device comprises a link quality indicator acquiring module, a link quality deviation rate acquiring module and an evaluating module. By acquiring the link quality deviation rate in the preset sampling window and evaluating the link quality of a wireless sensor network according to the quality deviation rate, the invention, compared with the prior art, has the advantages that: the link quality deviation rate has better correlation with a packet reception ratio (PRR) and can represent the link quality more stably and precisely, the correlation between the link quality deviation rate and the PRR is greater than the correlation between an average value of the link quality indicators (LQI) and the PRR regardless of the size of the window, judgment on the link quality is more precise, quality condition of the wireless link of the sensor network can be evaluated rapidly and precisely, and evaluation is excellent in timeliness and effectiveness.
Description
Technical field
The present invention relates to the network test field, particularly a kind of link-quality appraisal procedure and device.
Background technology
Along with the development of WSN (Wireless Sensor Network, wireless sensor network), it is widely used in military or civil areas such as environmental monitoring, target following, intrusion detection, traffic control and Smart Home.Owing to the easy generation loss of data phenomenon affected by environment of network wireless link, cause the instability of link-quality.In actual applications, assess out accurately and effectively radio link quality reliability and the validity that improves whole cordless communication network is had a very important role, and the design of technology such as network topology control, Routing Protocol, power control and location is had material impact.The wireless sensor network link-quality is relevant greatly with data packet transmission conflict in the network, therefore, PRR (Packet Reception Ratio, the correct acceptance rate of packet) index can directly reflect the link-quality state of network, be widely used in the link-quality assessment, its concrete assessment mode comprises: in network, by sending a large amount of hello packet message, to obtain the PRR value.Yet because the time delay influence that a large amount of hello packet causes, the PRR value can not reflect the variation of link-quality fast in time.Simultaneously, send a large amount of hello packet message and also increased the weight of energy consumption and offered load, this has fatal influence to low-yield and WSN low bandwidth.
This deficiency based on the PRR index evaluating method, some other chain indexs (as link-quality sign LQI, received signal intensity sign RSSI) are used to assessing link quality to replace the PRR index, target is to use minimum assessment expense (as time, energy) that link-quality is assessed, and accuracy promptly has higher correlation with PRR near PRR.Wherein, correlation is weighed by coefficient correlation, and the span of coefficient correlation is (1, + 1), coefficient correlation approaches 1 more, shows that two stochastic variable degrees of correlation are high more, promptly this chain index approaches PRR more to the assessment of link-quality, and it is accurate more to assess.
Present stage, a large amount of sensing nodes uses LQI (Link Quality Indicator, link-quality sign) to reflect instantaneous link-quality.The physical layer of node can be extracted the LQI value in the packet that each success receives, it realizes simple.The problem as the link-quality evaluation index with LQI has been considered in existing a lot of research, and considers the stability of LQI under individual data bag transmission situation.Studies show that under a transmission hundreds of packet situation, LQI can provide more accurate estimation to link-quality, LQI has different correlations with PRR under different sample frequencys (window) simultaneously.
After prior art was analyzed, the inventor found that prior art has following shortcoming at least:
Using LQI to do evaluation index assesses link, its assessment effect is close with the sampling window magnitude relationship, select for use a period of time the LQI average in (sampling window) to describe link-quality, promptly all packets that receive are divided into some groups, the number of the packet in each group is m (being the sampling window size), the LQI average of calculated data bag in each group.In general, sampling window is big more, and the link-quality result of calculating is accurate more, but time delay is long more.In the prior art, when calculating the LQI average, the window size of use generally is 120.When sampling window less (less than 120), the correlation of LQI average and PRR is lower, can't make comparatively accurately link-quality and judging.Therefore, adopt LQI average index can only accurately assess the average case of the link-quality of long period, can not in time reflect the instantaneous state of link.
Summary of the invention
The embodiment of the invention provides a kind of link-quality appraisal procedure and device.Described technical scheme is as follows:
A kind of link-quality appraisal procedure comprises:
Obtain the link-quality sign of interior all packets of default sampling window on the link;
According to the link-quality sign of all packets in the described default sampling window, obtain the link-quality deviation ratio in the described default sampling window, the link-quality sign rate of change that described link-quality deviation ratio is a packet;
According to described link-quality deviation ratio and predetermined threshold value, described link-quality is assessed.
A kind of link-quality apparatus for evaluating comprises:
The link-quality identifier acquisition module, the link-quality that is used to obtain interior all packets of default sampling window on the link identifies;
Link-quality deviation ratio acquisition module, be used for link-quality sign according to all packets in the described default sampling window, obtain the link-quality deviation ratio in the described default sampling window, the link-quality sign rate of change that described link-quality deviation ratio is a packet;
Evaluation module is used for according to described link-quality deviation ratio and predetermined threshold value described link-quality being assessed.
A kind of wireless router, described wireless router comprise above-mentioned link-quality apparatus for evaluating.
The beneficial effect of the technical scheme that the embodiment of the invention provides is:
By obtaining the link-quality deviation ratio in the default sampling window, and the radio sensing network link-quality is assessed according to this mass shift rate, method compared to prior art, with PRR better correlation is arranged, also can more stablely characterize link-quality accurately, and window size no matter, the correlation of link-quality deviation ratio and PRR is all greater than the correlation of LQI average and PRR, judgement to link-quality is more accurate, the quality condition of estimated sensor network wireless link has good promptness and validity fast and accurately.
Description of drawings
In order to be illustrated more clearly in the embodiment of the invention or technical scheme of the prior art, to do to introduce simply to the accompanying drawing of required use in embodiment or the description of the Prior Art below, apparently, accompanying drawing in describing below only is some embodiments of the present invention, for those of ordinary skills, under the prerequisite of not paying creative work, can also obtain other accompanying drawing according to these accompanying drawings.
Fig. 1 is the flow chart of an embodiment of link-quality appraisal procedure of the present invention;
Fig. 2 is the flow chart of another embodiment of link-quality appraisal procedure of the present invention;
Fig. 3 is the flow chart of another embodiment of link-quality appraisal procedure of the present invention;
Fig. 4 is the flow chart of another embodiment of link-quality appraisal procedure of the present invention;
Fig. 5 is the structural representation of an embodiment of link-quality apparatus for evaluating of the present invention;
Fig. 6 is the structural representation of an embodiment of link-quality apparatus for evaluating of the present invention;
Fig. 7 is the structural representation of an embodiment of link-quality apparatus for evaluating of the present invention;
Fig. 8 is the structural representation of an embodiment of link-quality apparatus for evaluating of the present invention.
Embodiment
For making the purpose, technical solutions and advantages of the present invention clearer, embodiment of the present invention is described further in detail below in conjunction with accompanying drawing.
Fig. 1 is the flow chart of an embodiment of link-quality appraisal procedure of the present invention; As shown in Figure 1, the method for present embodiment comprises:
101: the link-quality sign of obtaining interior all packets of default sampling window on the link;
102: according to the link-quality sign of all packets in this default sampling window, obtain the link-quality deviation ratio in this default sampling window, the link-quality sign rate of change that this link-quality deviation ratio is a packet;
103:, this link-quality is assessed according to this link-quality deviation ratio and predetermined threshold value.
By obtaining the link-quality deviation ratio in the default sampling window, and the radio sensing network link-quality is assessed according to this mass shift rate, method compared to prior art, with PRR better correlation is arranged, also can more stablely characterize link-quality accurately, and window size no matter, the correlation of link-quality deviation ratio and PRR is all greater than the correlation of LQI average and PRR, judgement to link-quality is more accurate, the quality condition of estimated sensor network wireless link has good promptness and validity fast and accurately.
Fig. 2 is the flow chart of another embodiment of link-quality appraisal procedure of the present invention; As shown in Figure 2, on the basis of the foregoing description, the method for present embodiment comprises:
201: obtain default sampling window;
In embodiments of the present invention, this window size is meant the number of packet in this window, should can when developing, be provided with by the technical staff by default sampling window, also can judge according to its processing speed and busy extent, and in preset value, switch according to judged result by system.The size that should preset sampling window is N, and usually, the value of this window size is 120.
202: the LQI LQI that obtains all packets in this default sampling window
1... LQI
i, wherein, LQI
iBe the LQI value of i packet, i is for more than or equal to 2 and be less than or equal to the natural number of N; Those skilled in the art can know that the method for the multiple LQI of obtaining is arranged in the prior art, for example can directly extract LQI numerical value from receiving node after successfully receiving grouping at every turn.
203: the link-quality deviation ratio OR_LQI that obtains interior i packet of default sampling window and i-1 data parlor
i
In the present embodiment, use OR_LQI
i(Offset Rate of LQI, change in link quality rate) characterizes the variation of continuous LQI.
Particularly, acquisition methods in this step 203 comprises: the absolute value that obtains the LQI difference of i packet and i-1 data parlor, divided by the LQI value of i-1 packet, obtain the link-quality deviation ratio OR_LQI of interior i packet of this default sampling window and i-1 data parlor
i, its computing formula is as follows:
204: obtain the link-quality deviation ratio OR_LQI in the described default sampling window;
Wherein, the link-quality deviation ratio of adjacent data parlor has been reacted the LQI rate of change of two continuous data bags, link-quality deviation ratio in the default sampling window all the adjacent data parlor link-quality deviation ratios in the sampling window that then add up have been reacted the LQI rate of change of packet in the default sampling window.
Particularly, the acquisition methods in this step 204 comprises: with the link-quality deviation ratio OR_LQI of all adjacent data parlors in the described default sampling window
iAdd up, and divided by N-1, as the link-quality deviation ratio OR_LQI in the default sampling window, its computing formula is as follows with the merchant that obtains:
205:, link-quality is assessed according to link-quality deviation ratio OR_LQI and predetermined threshold value.
This step 205 is processes of link-quality being assessed according to the result that step 203,204 obtains, wherein, predetermined threshold value can be set by the technical staff, and it is foundation that this setting can the OR_LQI value be closed with corresponding PRR value, obtains according to the substantive test experimental result.
The method that present embodiment provides, by difference according to adjacent data packet link quality identification in the default sampling window, obtain the link-quality deviation ratio in the default sampling window, and the radio sensing network link-quality is assessed according to this mass shift rate, method compared to prior art, with PRR better correlation is arranged, also can more stablely characterize link-quality accurately, and window size no matter, the correlation of link-quality deviation ratio and PRR is all greater than the correlation of LQI average and PRR, judgement to link-quality is more accurate, and the quality condition of estimated sensor network wireless link has good promptness and validity fast and accurately.
Fig. 3 is the flow chart of another embodiment of link-quality appraisal procedure of the present invention; As shown in Figure 3, on basis embodiment illustrated in fig. 1, the method for present embodiment comprises:
301: obtain default sampling window;
302: the LQI LQI that obtains all packets in this default sampling window
1... LQI
i, wherein, LQI
iBe the LQI value of i packet, i is for more than or equal to 2 and be less than or equal to the natural number of N;
Need to prove that this step 301,302 identical with step 201,202 principle does not repeat them here.
303: the average of obtaining LQI in the default sampling window
Particularly, the method for obtaining average is for LQI
1... LQI
iAdd up, and will obtain and divided by N, obtain the average in the default sampling window
Its computing formula is as follows:
304: according to described average
Obtain the second-order deviation value of LQI in the default sampling window, with described second-order deviation value S
2As the link-quality deviation ratio OR_LQI in the described default sampling window;
Those skilled in the art can know that its computing formula is as follows:
305:, link-quality is assessed according to link-quality deviation ratio OR_LQI and predetermined threshold value.
Need to prove that this step 305 is identical with the principle of step 205, does not repeat them here.
The method that present embodiment provides, by average according to packet link-quality sign in the default sampling window, obtain the second-order deviation value of LQI in the window, and with this second-order deviation value as the link-quality deviation ratio in the default sampling window, according to this mass shift rate the radio sensing network link-quality is assessed again, method compared to prior art, with PRR better correlation is arranged, also can more stablely characterize link-quality accurately, and window size no matter, the correlation of link-quality deviation ratio and PRR is all greater than the correlation of LQI average and PRR, judgement to link-quality is more accurate, the quality condition of estimated sensor network wireless link has good promptness and validity fast and accurately.
Fig. 4 is the flow chart of another embodiment of link-quality appraisal procedure of the present invention; As shown in Figure 3, on basis embodiment illustrated in fig. 1, the method for present embodiment comprises:
401: obtain default sampling window;
402: the LQI LQI that obtains all packets in this default sampling window
1... LQI
i, wherein, LQI
iBe the LQI value of i packet, i is for more than or equal to 2 and be less than or equal to the natural number of N;
Need to prove that this step 401,402 identical with step 201,202 principle does not repeat them here.
403: the difference LQI that obtains LQI between interior per two the adjacent data bags of default sampling window
2-LQI
1... LQI
i-LQI
I-1, wherein, LQI
i-LQI
I-1Be the difference of i packet and i-1 packet LQI, i is for more than or equal to 2 and be less than or equal to the natural number of N;
404: to the difference LQI of LQI between per two adjacent data bags
2-LQI
1... LQI
i-LQI
I-1Ask quadratic sum, and obtain the normalization numerical value Sum of quadratic sum value, with the normalization numerical value Sum of this quadratic sum value as the link-quality deviation ratio OR_LQI in the default sampling window.
Those skilled in the art can know that this computing formula is as follows:
405:, link-quality is assessed according to link-quality deviation ratio OR_LQI and predetermined threshold value.
Need to prove that this step 405 is identical with the principle of step 205, does not repeat them here.
Method provided by the invention not only can be applied to radio sensing network, can also be applied to other networks, as Wireless Mesh network, and ad hoc network, wireless network etc.;
The method that present embodiment provides, by difference according to adjacent data parlor LQI in the default sampling window, obtain the quadratic sum of difference in the window, and with the normalization numerical value of quadratic sum value as the link-quality deviation ratio in the default sampling window, according to this mass shift rate the radio sensing network link-quality is assessed again, method compared to prior art, with PRR better correlation is arranged, also can more stablely characterize link-quality accurately, and window size no matter, the correlation of link-quality deviation ratio and PRR is all greater than the correlation of LQI average and PRR, judgement to link-quality is more accurate, the quality condition of estimated sensor network wireless link has good promptness and validity fast and accurately.
In the method that the above-mentioned embodiment that provides provides, be with the basis of the LQI rate of change in the sampling window as assessment, in another embodiment provided by the invention, can also use received signal intensity sign (RSSI) and wait other similar chain indexs to replace LQI, thereby according to the rate of change of received signal intensity sign or other the similar chain indexs basis as assessment.
Fig. 5 is the structural representation of an embodiment of link-quality apparatus for evaluating of the present invention; As shown in Figure 5, the device of present embodiment comprises:
Link-quality identifier acquisition module 501, the link-quality that is used to obtain interior all packets of default sampling window on the link identifies;
Link-quality deviation ratio acquisition module 502, be used for link-quality sign according to all packets in the described default sampling window, obtain the link-quality deviation ratio in the described default sampling window, the link-quality sign rate of change that described link-quality deviation ratio is a packet;
Evaluation module 503 is used for according to described link-quality deviation ratio and predetermined threshold value described link-quality being assessed.
Referring to Fig. 6, described link-quality deviation ratio acquisition module 502 comprises:
The first acquiring unit 502a is used for the link-quality sign according to all packets in the described default sampling window, obtains the link-quality deviation ratio OR_LQI of interior i packet of described default sampling window and i-1 data parlor
i,
Wherein, the size of described default sampling window is N, and i is for more than or equal to 2 and be less than or equal to the natural number of N, LQI
iIt is the link-quality sign of i packet;
Second acquisition unit 502b is used for according to described OR_LQI
i, obtain the link-quality deviation ratio OR_LQI in the described default sampling window.
The described first acquiring unit 502a specifically is used to obtain the absolute value of the LQI difference of i packet and i-1 data parlor, divided by the LQI value of i-1 packet, obtain the link-quality deviation ratio OR_LQI of interior i packet of described default sampling window and i-1 data parlor
i
Correspondingly, described second acquisition unit 502b specifically is used for the link-quality deviation ratio OR_LQI with all adjacent data parlors in the described default sampling window
iAdd up, and divided by N-1, with the merchant that obtains as the link-quality deviation ratio OR_LQI in the described default sampling window.
Referring to Fig. 7, in another embodiment, described link-quality deviation ratio acquisition module 502 comprises:
The 3rd acquiring unit 502c is used to obtain the average of LQI in the described default sampling window;
The 4th acquiring unit 502d is used for according to described average, obtains the second-order deviation value of LQI in the default sampling window, with described second-order deviation value as the link-quality deviation ratio in the described default sampling window.
Referring to Fig. 8, in another embodiment, described link-quality deviation ratio acquisition module 502 comprises:
The 5th acquiring unit 502e is used to obtain in the described default sampling window difference of LQI between per two adjacent data bags;
The 6th acquiring unit 502f is used for the difference of LQI between described per two adjacent data bags is asked quadratic sum, and obtains the normalization numerical value of quadratic sum value, with the normalization numerical value of described quadratic sum value as the link-quality deviation ratio in the described default sampling window.
The device that present embodiment provides belongs to same design with method embodiment, and its specific implementation process sees method embodiment for details, repeats no more here.
The embodiment of the invention also provides a kind of wireless router, and described wireless router comprises above-mentioned link-quality apparatus for evaluating.
The wireless router that present embodiment provides belongs to same design with method embodiment, and its specific implementation process sees method embodiment for details, repeats no more here.
The all or part of of the technique scheme that the embodiment of the invention provides can be finished by the relevant hardware of program command, described program can be stored in the storage medium that can read, and this storage medium comprises: various media that can be program code stored such as ROM, RAM, magnetic disc or CD.
The above only is preferred embodiment of the present invention, and is in order to restriction the present invention, within the spirit and principles in the present invention not all, any modification of being done, is equal to replacement, improvement etc., all should be included within protection scope of the present invention.
Claims (11)
1. a link-quality appraisal procedure is characterized in that, comprising:
Obtain the link-quality sign of interior all packets of default sampling window on the link;
According to the link-quality sign of all packets in the described default sampling window, obtain the link-quality deviation ratio in the described default sampling window, the link-quality sign rate of change that described link-quality deviation ratio is a packet;
According to described link-quality deviation ratio and predetermined threshold value, described link-quality is assessed.
2. method according to claim 1 is characterized in that, according to the link-quality sign of all packets in the described default sampling window, obtains the link-quality deviation ratio in the described default sampling window, specifically comprises:
According to the link-quality sign of all packets in the described default sampling window, obtain the link-quality deviation ratio OR_LQI of interior i packet of described default sampling window and i-1 data parlor
i,
Wherein, the size of described default sampling window is N, and i is for more than or equal to 2 and be less than or equal to the natural number of N, LQI
iIt is the link-quality sign of i packet;
According to described OR_LQI
i, obtain the link-quality deviation ratio OR_LQI in the described default sampling window.
3. method according to claim 2 is characterized in that, obtains the link-quality deviation ratio OR_LQI of interior i packet of described default sampling window and i-1 data parlor
i, specifically comprise:
Obtain the absolute value of the LQI difference of i packet and i-1 data parlor,, obtain the link-quality deviation ratio OR_LQI of interior i packet of described default sampling window and i-1 data parlor divided by the LQI value of i-1 packet
i
Correspondingly, according to described OR_LQI
i, obtain the link-quality deviation ratio OR_LQI in the described default sampling window, specifically comprise:
Link-quality deviation ratio OR_LQI with all adjacent data parlors in the described default sampling window
iAdd up, and divided by N-1, with the merchant that obtains as the link-quality deviation ratio OR_LQI in the described default sampling window.
4. method according to claim 1 is characterized in that, according to the link-quality sign of all packets in the described default sampling window, obtains the link-quality deviation ratio in the described default sampling window, specifically comprises:
Obtain the average of LQI in the described default sampling window;
According to described average, obtain the second-order deviation value of LQI in the default sampling window, with described second-order deviation value as the link-quality deviation ratio in the described default sampling window.
5. method according to claim 1 is characterized in that, according to the link-quality sign of all packets in the described default sampling window, obtains the link-quality deviation ratio in the described default sampling window, specifically comprises:
Obtain the difference of LQI between interior per two the adjacent data bags of described default sampling window;
Difference to LQI between described per two adjacent data bags is asked quadratic sum, and obtains the normalization numerical value of quadratic sum value, with the normalization numerical value of described quadratic sum value as the link-quality deviation ratio in the described default sampling window.
6. a link-quality apparatus for evaluating is characterized in that, comprising:
The link-quality identifier acquisition module, the link-quality that is used to obtain interior all packets of default sampling window on the link identifies;
Link-quality deviation ratio acquisition module, be used for link-quality sign according to all packets in the described default sampling window, obtain the link-quality deviation ratio in the described default sampling window, the link-quality sign rate of change that described link-quality deviation ratio is a packet;
Evaluation module is used for according to described link-quality deviation ratio and predetermined threshold value described link-quality being assessed.
7. device according to claim 6 is characterized in that, described link-quality deviation ratio acquisition module comprises:
First acquiring unit is used for the link-quality sign according to all packets in the described default sampling window, obtains the link-quality deviation ratio OR_LQI of interior i packet of described default sampling window and i-1 data parlor
i,
Wherein, the size of described default sampling window is N, and i is for more than or equal to 2 and be less than or equal to the natural number of N, LQI
iIt is the link-quality sign of i packet;
Second acquisition unit is used for according to described OR_LQI
i, obtain the link-quality deviation ratio OR_LQI in the described default sampling window.
8. device according to claim 7, it is characterized in that, described first acquiring unit specifically is used to obtain the absolute value of the LQI difference of i packet and i-1 data parlor, divided by the LQI value of i-1 packet, obtain the link-quality deviation ratio OR_LQI of interior i packet of described default sampling window and i-1 data parlor
i
Correspondingly, described second acquisition unit specifically is used for the link-quality deviation ratio OR_LQI with all adjacent data parlors in the described default sampling window
iAdd up, and divided by N-1, with the merchant that obtains as the link-quality deviation ratio OR_LQI in the described default sampling window.
9. device according to claim 6 is characterized in that, described link-quality deviation ratio acquisition module comprises:
The 3rd acquiring unit is used to obtain the average of LQI in the described default sampling window;
The 4th acquiring unit is used for according to described average, obtains the second-order deviation value of LQI in the default sampling window, with described second-order deviation value as the link-quality deviation ratio in the described default sampling window.
10. device according to claim 6 is characterized in that, described link-quality deviation ratio acquisition module comprises:
The 5th acquiring unit is used to obtain in the described default sampling window difference of LQI between per two adjacent data bags;
The 6th acquiring unit is used for the difference of LQI between described per two adjacent data bags is asked quadratic sum, and obtains the normalization numerical value of quadratic sum value, with the normalization numerical value of described quadratic sum value as the link-quality deviation ratio in the described default sampling window.
11. a wireless router is characterized in that, described wireless router comprises each described link-quality apparatus for evaluating of claim 6～10.
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Cited By (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102571292A (en) * | 2012-02-29 | 2012-07-11 | 浙江中控研究院有限公司 | Communication maintenance scheme matching method, link monitor and wireless sensor network |
| CN102904778A (en) * | 2012-10-26 | 2013-01-30 | 华为技术有限公司 | Reliability improving method for stack system, monitor and stack system |
| CN104135510A (en) * | 2014-07-16 | 2014-11-05 | 上海交通大学 | Distributed computing environment performance prediction method and system based on mode matching |
| CN104363139A (en) * | 2014-11-21 | 2015-02-18 | 西北工业大学 | Method for calculating link quality estimation value of sensing network by using local characteristics |
| CN104753719A (en) * | 2015-03-20 | 2015-07-01 | 沈阳化工大学 | Method for improving network instantaneity and sensitivity by using accumulated link quality |
| CN105101369A (en) * | 2015-07-28 | 2015-11-25 | 沈阳化工大学 | Low-duty-ratio wireless sensor network node sleep method based on link quality |
| CN106953784A (en) * | 2017-03-17 | 2017-07-14 | 智科达（厦门）科技有限公司 | Indoor environment intrusion detection method and system in a kind of smart home |
| CN107949021A (en) * | 2017-11-15 | 2018-04-20 | 维沃移动通信有限公司 | Switch the method and terminal device of receives link in terminal device |
| WO2018171177A1 (en) * | 2017-03-20 | 2018-09-27 | 上海中兴软件有限责任公司 | Index weight verification method and device of network quality assessment tool |
| CN109348497A (en) * | 2018-09-30 | 2019-02-15 | 南昌航空大学 | Wireless sensor network link quality prediction method |
| CN110191481A (en) * | 2019-06-06 | 2019-08-30 | 南昌航空大学 | A kind of method and system using the high-speed decision tree assessing link quality that transfinites |
| CN111245538A (en) * | 2018-11-29 | 2020-06-05 | 华为技术有限公司 | Link quality detection method and related equipment |
| CN113139146A (en) * | 2020-01-17 | 2021-07-20 | 中国移动通信集团浙江有限公司 | Website quality evaluation method and device and computing equipment |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20100130264A1 (en) * | 2008-11-21 | 2010-05-27 | Yong Su-Khiong | Method and system for communication of different modulation formats from a wireless station in a wireless system |
| CN101867960A (en) * | 2010-06-08 | 2010-10-20 | 江苏大学 | Comprehensive evaluation method for wireless sensor network performance |
-
2011
- 2011-02-24 CN CN2011100452490A patent/CN102137425A/en active Pending
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20100130264A1 (en) * | 2008-11-21 | 2010-05-27 | Yong Su-Khiong | Method and system for communication of different modulation formats from a wireless station in a wireless system |
| CN101867960A (en) * | 2010-06-08 | 2010-10-20 | 江苏大学 | Comprehensive evaluation method for wireless sensor network performance |
Non-Patent Citations (2)
| Title |
|---|
| 《Proceedings of IPSN'09》 20091231 Boano C.A. Exploiting the LQI variance for rapid channel quality assessment , * |
| BOANO C.A.: "Exploiting the LQI variance for rapid channel quality assessment", 《PROCEEDINGS OF IPSN’09》, 31 December 2009 (2009-12-31) * |
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