CN108924786A - The collection method for wireless sensor network data of Environment Oriented emergency event - Google Patents
The collection method for wireless sensor network data of Environment Oriented emergency event Download PDFInfo
- Publication number
- CN108924786A CN108924786A CN201810913837.3A CN201810913837A CN108924786A CN 108924786 A CN108924786 A CN 108924786A CN 201810913837 A CN201810913837 A CN 201810913837A CN 108924786 A CN108924786 A CN 108924786A
- Authority
- CN
- China
- Prior art keywords
- node
- event
- data
- perception
- environment
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/30—Services specially adapted for particular environments, situations or purposes
- H04W4/38—Services specially adapted for particular environments, situations or purposes for collecting sensor information
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W16/00—Network planning, e.g. coverage or traffic planning tools; Network deployment, e.g. resource partitioning or cells structures
- H04W16/18—Network planning tools
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W52/00—Power management, e.g. TPC [Transmission Power Control], power saving or power classes
- H04W52/02—Power saving arrangements
- H04W52/0209—Power saving arrangements in terminal devices
- H04W52/0225—Power saving arrangements in terminal devices using monitoring of external events, e.g. the presence of a signal
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W84/00—Network topologies
- H04W84/18—Self-organising networks, e.g. ad-hoc networks or sensor networks
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D30/00—Reducing energy consumption in communication networks
- Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks
Abstract
The invention discloses a kind of collection method for wireless sensor network data of Environment Oriented emergency event, include the following steps：Node in wireless sensor network is classified according to event correlation, including event correlation node, Event Edge node and suspend mode node；When environmental burst accident occurs, selection any one occurrence associated nodes are starting point, complete initialization, and neighbor node is notified to carry out environment event perception；The node is stored in event correlation node set when incidence coefficient is more than given threshold by the judgement that fuzzy field is carried out after neighbor node is completed to perceive；For being newly selected in the set of event correlation node, neighbor node is notified to carry out environment event perception in the same way；It steps be repeated alternatively until that the node in the event correlation node set is not further added by；The data of acquisition are transferred to remote server.It improves through the invention and carries out data perception node and event correlation, improve the accuracy and the quality of data of perceptual strategy.
Description
Technical field
The invention belongs to the technical fields of environmental monitoring, are related to a kind of wireless sensor network of Environment Oriented emergency event
Collecting method.
Background technique
It is wireless networked, intelligent, micromation, it is integrated be environmental monitoring system development important trend, can be real
The automation of existing environmental monitoring, long-range.Then with subjects such as semiconductor, wireless communication technique, microelectromechanical systems
Rapid development and the wireless sensor network generated just becomes one of the hot spot of environmental monitoring field research.Wireless sensor network
The multinomial technology of integrated use, it is the aggregate of multiple technologies, mainly includes wireless communication technique, embedded computer skill
Art, sensor technology and distributed information processing.It can carry out real-time monitoring to monitored object, acquire monitoring area
Interior related data, and accurate full and accurate information is obtained after being pocessed, these information are finally issued into people in need.It is wireless to pass
Sensor network is made of in a manner of self-organizing and multi-hop a large amount of static or mobile node, collection sensing and drive control, calculating,
Communication capacity, collaboratively in real-time monitoring, perception, acquisition, processing and transmission network overlay area perceptive object prison
Measurement information is simultaneously reported to user.Since it is at low cost, using wireless communication, do not need fixed network assistance, thus its research at
Fruit is using very extensive.The features such as multiparameter wireless sensor network is at low cost by its, deployment is flexible, ad hoc network, it is extensive
Be applied to the fields such as environmental monitoring, the extensive concern of social every aspect is caused in outburst surroundings monitoring application in recent years, at
For current research hotspot.However current wireless sensor network seldom considers environment in collecting method design process
Emergency event；Meanwhile in recent years to improve the function of wireless sensor network node, reducing cost, with wireless monitor network
Development, common wireless aware node usually require to be equipped with a variety of different types of sensors, and different sensors mean perceiving
Method, time and there are biggish differences with the relevance of environment event.Therefore, in face of the environment event of burst, for list
Which sensor a wireless sensor node selects carry out data acquisition, is another pass that wireless sensor network needs to solve
One of the problem of keyness.Current wireless sensor network environment monitoring system should carry out key parameter number to unexpected environmental accident
When according to acquisition, that there are the wireless sensor network parameter acquisition qualities of data is low, with environment event relevance is poor, volume of transmitted data
Greatly, the deficiencies of network delay is high.
In existing environment monitoring data acquisition system, radio node sensor is single, acquires data and environment thing
Part correlation is poor；Often assume that environment event static state is constant, generation area immobilizes.It is existing based on foregoing description and analysis
Some technologies have the following disadvantages：The collecting method of current environment monitoring wireless sensor network first is that wireless network drives
All wireless sensor nodes carry out data acquisition in dynamic network, and individual node acquires the data of all the sensors, then perceives
By certain routed path, data are transmitted into remote server；Obvious current wireless sensor network data acquisition strategies
In the presence of the deficiencies of acquisition data volume is big, network transmission efficiency is low, energy consumption is high, data transmission delay is high.Secondly, Current data acquisition
Method is the data of each node all the sensors, there is the acquisition quality of data is low, acquisition data are low with the relevance of event etc.
Disadvantage.Finally, currently for the wireless sensor network of environmental burst accident when carrying out data acquisition, it is quiet with environment event
State is to assume, hence it is evident that there are greatest differences with practical engineering application for it, are not suitable for practical application；The environment prison assumed based on this
Measured data acquisition method does not obviously adapt to the environmental burst accident of dynamic change, and it is incomplete to there are monitoring data in practical applications
The disadvantages of.
Summary of the invention
The shortcomings that it is a primary object of the present invention to overcome the prior art and deficiency, provide a kind of Environment Oriented emergency event
Collection method for wireless sensor network data carry out data are improved using environmental burst accident interdependent node choosing method
Sensing node and event correlation, improve the accuracy and the quality of data of perceptual strategy.
In order to achieve the above object, the present invention uses following technical scheme：
A kind of collection method for wireless sensor network data of Environment Oriented emergency event of the present invention, includes the following steps：
S1, the radio node that will be configured with multiple and different species sensors are deployed in the region for needing to monitor；
S2, after the completion of radio node deployment, radio node passes through wireless module and built-in wireless communication protocol network
Network ad hoc network is completed, environmental monitoring wireless sensor network is formed；
S3, the node in wireless sensor network is classified according to event correlation, including event correlation node, thing
Part fringe node and suspend mode node, and the set of the composition of real-time update corresponding node, the associated nodes carry out data perception,
Event Edge node carries out perception preparation, and suspend mode node carries out suspend mode；
S4, under normal conditions, wireless sensor network in a dormant state, when environmental burst accident occurs, choose ring
Border emergency areas any one occurrence associated nodes are starting point, complete the initialization of node, into outburst surroundings monitoring pattern,
And neighbor node is notified to carry out environment event perception；
S5, after neighbor node is completed to the perception of unexpected environmental accident, data are carried out with the judgement of fuzzy field, when wireless
When the data of node perceived and the incidence coefficient of event are more than given threshold, which is stored in event correlation node set；
S6, the set for being newly selected in event correlation node, notify neighbor node to carry out environment event in the same way
Perception, to perception data carry out fuzzy field event correlation sex determination, and will data relevant to event there are event correlation sections
Point set；
S7, within the set time, steps be repeated alternatively until that the node in the event correlation node set is not further added by；
S8, all radio nodes of event correlation node set are acquired into periodic data, and by related perception data
By rapid data transmission routed path, it is transferred to remote server, and then providing for the Emergency decision of environmental burst accident must
The data basis wanted.
As a preferred technical solution, in step S2, radio node passes through wireless module and built-in wireless communication protocol
Network completes network ad hoc network, forms environmental monitoring wireless sensor network, specially：
A random network node is initiated component and is invited, and the network is added in the network node sequence of surrounding, is then transferred to not
Dormancy state waits emergency event triggering.
As a preferred technical solution, in step S4, event correlation node composition set in, event correlation node into
While row data acquire, the Event Edge node of the set periodically perceives the related data of environmental burst accident, then
Determine whether environmental burst accident enters the sensing region of the Event Edge node, and the event side that will can perceive environment event
Edge node be stored in event correlation node set, and to repeat event correlation step, real-time update event correlation node set with
Corresponding Event Edge node set.
As a preferred technical solution, when event correlation node can not perceive environmental burst accident, according to neighbor node
Perceptual parameters, carry out dynamic corrections, i.e., when neighbor node remains to perception event, the neighbor node be stored in Event Edge node collection
It closes；When neighbor node can not perceive event, which is stored in suspend mode node set.
Determine whether environmental burst accident enters the sensing region of the Event Edge node as a preferred technical solution,
Specially：
Event Edge node periodically acquires and event associated sensor data, if the data of acquisition pass through fuzzy field
Determine, is more than threshold value, then illustrates that environment event comes into the sensing region of the fringe node.
As a preferred technical solution, in step S4, and neighbor node is notified to carry out environment event perception, specially：
Sensor node in event sends emergency event monitoring data packet with the forms of broadcasting, gives its corresponding neighbours' section
Point, neighbor node then enter data collection task state.
As a preferred technical solution, in step S5, the specific method for carrying out the judgement of fuzzy field to data is：
The all types of data of perception are subjected to Weight first, and then obtain a perception evaluation function value；Then
It is carried out carrying out vague marking to event degree according to the perception evaluation function, when vague marking is more than certain threshold value, then explanation should
Environment event comes into node monitoring region, then environment monitoring sensor node set is added.
As a preferred technical solution, in step S8, the rapid data transmission routed path is specially：
Node in event monitoring sensor node set, is randomly formed multiple sub-clusterings, then the cluster head node in sub-clustering
Increase transmission power to challenge transmission path by oneself with distal end aggregation node or base station foundation and carry out data transmission.
Compared with prior art, the present invention having the following advantages that and beneficial effect：
1) environmental burst accident interdependent node choosing method is used, using event correlation node selection principle, chooses and carries out
The wireless network sensing node set of data perception.I.e. by the judgement of event correlation, the selection of wireless sensor node is completed,
The number for reducing radio node environment sensing improves and carries out data perception node and event correlation, improves perceptual strategy
Accuracy and the quality of data.
2) invention is realized and is adjusted according to event dynamic by update event associated nodes set, Event Edge node set
The purpose of monitoring node.Specifically, whole network periodically perceives parameter relevant to event, in real time to association in time
The corresponding neighborhood of point set is updated, and completes the monitoring to environment event dynamic.
3) wireless aware node is based on the event degree of correlation in the present invention, completes to close event using the strategy of different priorities
Join the perception of parameter, and compression pretreatment is carried out to data using fuzzy classification, and then improve the node perceived quality of data, reduces
Transmitted data amount, the real-time for improving perception data.
Detailed description of the invention
Fig. 1 is environmental burst accident wireless sensor network data acquisition schematic diagram of the present invention；
Fig. 2 is environmental burst accident wireless sensor network data collecting flowchart figure of the present invention.
Specific embodiment
Present invention will now be described in further detail with reference to the embodiments and the accompanying drawings, but embodiments of the present invention are unlimited
In this.
Embodiment
As shown in Figure 1 and Figure 2, the collection method for wireless sensor network data of Environment Oriented emergency event of the present invention, including
Following step：
S2, equipped with multiple diverse sensors, (multiple type sensor nodes are for monitoring different rings first
Border emergency event) radio node be deployed in and need monitoring area.
S2, after the completion of radio node deployment, radio node passes through wireless module and built-in wireless communication protocol network
Complete network ad hoc network, formed environmental monitoring wireless sensor network (use communication protocol such as Zigbee, Wi-Fi, bluetooth etc.,
A random network node is initiated component and is invited, and the network is added in the node sequence of surrounding.Then it is transferred to dormant state, is waited prominent
Hair event triggering).
S3, wireless sensor network interior joint is divided into, event correlation node, Event Edge node and remaining node, and
The set of real-time update corresponding node.While event interdependent node set radio node carries out data acquisition, the set
Event Edge node periodically perceives the related data of environmental burst accident, then determines whether environmental burst accident enters and is somebody's turn to do
The sensing region of node, and the node that can perceive environment event is stored in event correlation node set, and close to repeated events
Connection property step, the corresponding Event Edge set of real-time update event correlation node set.
Determine whether environmental burst accident enters the sensing region of the Event Edge node, specially：
Event Edge node periodically acquires and event associated sensor data, if the data of acquisition pass through fuzzy field
Determine, is more than threshold value, then illustrates that environment event comes into the sensing region of the fringe node.
S4, under normal conditions, network is in a dormant state.When environmental burst accident occurs, selection environment emergency event
Region arbitrary network node is starting point, completes the initialization of node, into outburst surroundings monitoring pattern；And notify neighbor node
Environment event perception is carried out, specific advice method is：Sensor node in event sends emergency event monitoring with the forms of broadcasting
Data packet, gives its corresponding neighbor node, and neighbor node then enters data collection task state.
S5, perception completion is carried out to unexpected environmental accident when neighbor node, data is carried out with the judgement of fuzzy field.When wireless
When the data of node perceived and the incidence coefficient of event are more than certain threshold value, which is stored in event correlation node set.
The specific method of judgement for carrying out fuzzy field to data is：
The all types of data of perception are subjected to Weight first, and then obtain a perception evaluation function value；Then
It is carried out carrying out vague marking to event degree according to the function, (such as functional value 100~120, corresponding score are 3 points, 120
~150 corresponding scores be 4 points, and so on) when vague marking be more than certain threshold value, illustrate the environment event if (such as 5 points)
Node monitoring region is come into, then environment monitoring sensor node set is added.
The set of S6, new selected event key node, notify neighbor node to carry out environment event perception in the same way,
To perception data carry out fuzzy field event correlation judgement, and will data relevant to event there are event correlation node collection
It closes.
S7, whithin a period of time, steps be repeated alternatively until that set (event correlation node set) element is not increasing.
S8, then all radio nodes of event correlation node set are acquired into periodic data, and correlation is perceived
Data are transferred to remote server by rapid data transmission routed path, and then mention for the Emergency decision of environmental burst accident
For necessary data basis.
The rapid data transmission routed path is specially：
Node in event monitoring sensor node set, being randomly formed multiple sub-clusterings, (membership in cluster meets one
Provisioning request, such as 10), then the cluster head node in sub-clustering increases transmission power and distal end aggregation node or list is established in base station
Transmission path is chosen to carry out data transmission.(aggregation node or base station can be considered as remote server).
In the present invention, when event correlation node can not perceive environmental burst accident, according to the perceptual parameters of neighbor node,
Carry out dynamic corrections.When i.e. neighbor node remains to perception event, which is stored in Event Edge node set；When neighbor node without
When method perceives event, which is stored in remaining node.As can be seen that radio node in network is divided according to event correlation
Class, associated nodes carry out data perception, Event Edge node carries out perception preparation, remaining node carries out suspend mode.Above-mentioned strategy, can
The quality of perception data is greatly improved, reduces volume of transmitted data.And by being updated periodically three kinds of class node set
The dynamic monitoring to environmental burst accident may be implemented.
Concurrently, event correlation section radio node, can be according to sensor and environment event when carrying out data perception
The degree of correlation and event drive relevant sensor to carry out data perception.That is the sensor high with the event degree of correlation, node into
The acquisition of row major data；Data acquisition is carried out after the low sensor of the degree of correlation；And close or sensor of the suspend mode without the degree of correlation.Together
When associated nodes environment event is classified by fuzzy algorithmic approach, it is only necessary to transmit event to subtract the amount of small data transmission
Classification mark promotes the efficiency of data transmission to reduce the data volume that data are transmitted.Finally after environment event monitoring, section
The initial dormant state of point, and then extend the service life of whole network.
The above embodiment is a preferred embodiment of the present invention, but embodiments of the present invention are not by above-described embodiment
Limitation, other any changes, modifications, substitutions, combinations, simplifications made without departing from the spirit and principles of the present invention,
It should be equivalent substitute mode, be included within the scope of the present invention.
Claims (8)
1. the collection method for wireless sensor network data of Environment Oriented emergency event, which is characterized in that include the following steps：
S1, the radio node that will be configured with multiple and different species sensors are deployed in the region for needing to monitor；
S2, after the completion of radio node deployment, radio node is completed by wireless module and built-in wireless communication protocol network
Network ad hoc network forms environmental monitoring wireless sensor network；
S3, the node in wireless sensor network is classified according to event correlation, including event correlation node, event side
Edge node and suspend mode node, and the set of the composition of real-time update corresponding node, the associated nodes carry out data perception, event
Fringe node carries out perception preparation, and suspend mode node carries out suspend mode；
S4, under normal conditions, in a dormant state, when environmental burst accident occurs, selection environment is prominent for wireless sensor network
Hair event area any one occurrence associated nodes are starting point, complete the initialization of node, into outburst surroundings monitoring pattern, and lead to
Know that neighbor node carries out environment event perception；
S5, after neighbor node is completed to the perception of unexpected environmental accident, data are carried out with the judgement of fuzzy field, works as radio node
When the data of perception and the incidence coefficient of event are more than given threshold, which is stored in event correlation node set；
S6, the set for being newly selected in event correlation node, notify neighbor node to carry out environment event perception in the same way,
To perception data carry out fuzzy field event correlation sex determination, and will data relevant to event there are event correlation node collection
It closes；
S7, within the set time, steps be repeated alternatively until that the node in the event correlation node set is not further added by；
S8, all radio nodes of event correlation node set acquire into periodic data, and related perception data are passed through
Rapid data transmission routed path is transferred to remote server, and then provides for the Emergency decision of environmental burst accident necessary
Data basis.
2. the collection method for wireless sensor network data of Environment Oriented emergency event, feature exist according to claim 1
In in step S2, radio node completes network ad hoc network by wireless module and built-in wireless communication protocol network, forms ring
Border monitoring wireless sensor network, specially：
A random network node is initiated component and is invited, and the network is added in the network node sequence of surrounding, is then transferred to suspend mode shape
State waits emergency event triggering.
3. the collection method for wireless sensor network data of Environment Oriented emergency event, feature exist according to claim 1
In, in step S4, in the set of event correlation node composition, while event correlation node carries out data acquisition, the set
Event Edge node periodically perceive the related data of environmental burst accident, then determine whether environmental burst accident enters
The sensing region of the Event Edge node, and the Event Edge node that can perceive environment event is stored in event correlation node collection
It closes, and to repetition event correlation step, the corresponding Event Edge node set of real-time update event correlation node set.
4. the collection method for wireless sensor network data of Environment Oriented emergency event, feature exist according to claim 3
In, when event correlation node can not perceive environmental burst accident, according to the perceptual parameters of neighbor node, dynamic corrections are carried out,
When i.e. neighbor node remains to perception event, which is stored in Event Edge node set；When neighbor node can not perceive thing
When part, which is stored in suspend mode node set.
5. the collection method for wireless sensor network data of Environment Oriented emergency event, feature exist according to claim 3
In whether judgement environmental burst accident enters the sensing region of the Event Edge node, specially：
Event Edge node periodically acquires and event associated sensor data, if the data of acquisition are sentenced by fuzzy field
It is fixed, it is more than threshold value, then illustrates that environment event comes into the sensing region of the fringe node.
6. the collection method for wireless sensor network data of Environment Oriented emergency event, feature exist according to claim 1
In, in step S4, and notify neighbor node carry out environment event perception, specially：
Sensor node in event sends emergency event monitoring data packet with the forms of broadcasting, gives its corresponding neighbor node, adjacent
It occupies node and then enters data collection task state.
7. the collection method for wireless sensor network data of Environment Oriented emergency event, feature exist according to claim 1
In in step S5, the specific method for carrying out the judgement of fuzzy field to data is：
The all types of data of perception are subjected to Weight first, and then obtain a perception evaluation function value；Then basis
The perception evaluation function carry out to event degree carry out vague marking, when vague marking be more than certain threshold value, then illustrate the environment
Event comes into node monitoring region, then environment monitoring sensor node set is added.
8. the collection method for wireless sensor network data of Environment Oriented emergency event, feature exist according to claim 1
In in step S8, the rapid data transmission routed path is specially：
Node in event monitoring sensor node set, is randomly formed multiple sub-clusterings, and then the cluster head node in sub-clustering increases
Transmission power is challenge transmission path by oneself and is carried out data transmission with distal end aggregation node or base station foundation.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810913837.3A CN108924786B (en) | 2018-08-13 | 2018-08-13 | Wireless sensor network data acquisition method facing environmental emergency |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810913837.3A CN108924786B (en) | 2018-08-13 | 2018-08-13 | Wireless sensor network data acquisition method facing environmental emergency |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN108924786A true CN108924786A (en) | 2018-11-30 |
| CN108924786B CN108924786B (en) | 2021-03-16 |
Family
ID=64404310
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810913837.3A Active CN108924786B (en) | 2018-08-13 | 2018-08-13 | Wireless sensor network data acquisition method facing environmental emergency |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN108924786B (en) |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109618301A (en) * | 2019-01-23 | 2019-04-12 | 南京邮电大学 | Data processing method, readable storage medium storing program for executing and the terminal of wireless sensor network |
| CN109640284A (en) * | 2019-01-23 | 2019-04-16 | 南京邮电大学 | Wireless sensor network system |
| CN113596730A (en) * | 2021-07-29 | 2021-11-02 | 广州工程技术职业学院 | Multi-event monitoring data acquisition method and system, unmanned aerial vehicle device and medium |
| CN114724337A (en) * | 2022-03-31 | 2022-07-08 | 旭宇光电（深圳）股份有限公司 | Remote intelligent monitoring and early warning system and method based on photovoltaic cell power supply |
| CN115150767A (en) * | 2022-09-06 | 2022-10-04 | 湖南智警公共安全技术研究院有限公司 | Wireless sensor network data transmission method based on edge calculation |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101115193A (en) * | 2006-07-25 | 2008-01-30 | 上海乐金广电电子有限公司 | Synchronous monitoring control method of digital camera |
| CN101316279A (en) * | 2008-07-09 | 2008-12-03 | 南京邮电大学 | Subjective interest driven wireless multimedia sensor network design method |
| CN102665171A (en) * | 2012-05-25 | 2012-09-12 | 重庆大学 | Routing control method based on big-scale WSN (wireless sensor network) emergency monitoring |
| CN103533571A (en) * | 2013-11-07 | 2014-01-22 | 东南大学 | FEDAV (fault-tolerant event detection algorithm based on voting) |
| CN104410992A (en) * | 2014-10-30 | 2015-03-11 | 重庆邮电大学 | Trust-based situation data fusion method of distributed sensor network |
| US9069730B2 (en) * | 2009-06-29 | 2015-06-30 | Hewlett-Packard Development Company, L. P. | Coordinated reliability management of virtual machines in a virtualized system |
| US20160292016A1 (en) * | 2015-04-02 | 2016-10-06 | Microsoft Technology Licensing, Llc | Complex event processor for historic/live/replayed data |
-
2018
- 2018-08-13 CN CN201810913837.3A patent/CN108924786B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101115193A (en) * | 2006-07-25 | 2008-01-30 | 上海乐金广电电子有限公司 | Synchronous monitoring control method of digital camera |
| CN101316279A (en) * | 2008-07-09 | 2008-12-03 | 南京邮电大学 | Subjective interest driven wireless multimedia sensor network design method |
| US9069730B2 (en) * | 2009-06-29 | 2015-06-30 | Hewlett-Packard Development Company, L. P. | Coordinated reliability management of virtual machines in a virtualized system |
| CN102665171A (en) * | 2012-05-25 | 2012-09-12 | 重庆大学 | Routing control method based on big-scale WSN (wireless sensor network) emergency monitoring |
| CN103533571A (en) * | 2013-11-07 | 2014-01-22 | 东南大学 | FEDAV (fault-tolerant event detection algorithm based on voting) |
| CN104410992A (en) * | 2014-10-30 | 2015-03-11 | 重庆邮电大学 | Trust-based situation data fusion method of distributed sensor network |
| US20160292016A1 (en) * | 2015-04-02 | 2016-10-06 | Microsoft Technology Licensing, Llc | Complex event processor for historic/live/replayed data |
Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109618301A (en) * | 2019-01-23 | 2019-04-12 | 南京邮电大学 | Data processing method, readable storage medium storing program for executing and the terminal of wireless sensor network |
| CN109640284A (en) * | 2019-01-23 | 2019-04-16 | 南京邮电大学 | Wireless sensor network system |
| CN109640284B (en) * | 2019-01-23 | 2021-08-03 | 南京邮电大学 | Wireless sensor network system |
| CN109618301B (en) * | 2019-01-23 | 2021-08-03 | 南京邮电大学 | Data processing method of wireless sensor network, readable storage medium and terminal |
| CN113596730A (en) * | 2021-07-29 | 2021-11-02 | 广州工程技术职业学院 | Multi-event monitoring data acquisition method and system, unmanned aerial vehicle device and medium |
| CN113596730B (en) * | 2021-07-29 | 2024-02-13 | 广州工程技术职业学院 | Data acquisition method and system for multi-event monitoring, unmanned aerial vehicle equipment and medium |
| CN114724337A (en) * | 2022-03-31 | 2022-07-08 | 旭宇光电（深圳）股份有限公司 | Remote intelligent monitoring and early warning system and method based on photovoltaic cell power supply |
| CN114724337B (en) * | 2022-03-31 | 2023-08-22 | 旭宇光电（深圳）股份有限公司 | Remote intelligent monitoring and early warning system and method based on photovoltaic cell power supply |
| CN115150767A (en) * | 2022-09-06 | 2022-10-04 | 湖南智警公共安全技术研究院有限公司 | Wireless sensor network data transmission method based on edge calculation |
Also Published As
| Publication number | Publication date |
|---|---|
| CN108924786B (en) | 2021-03-16 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108924786A (en) | The collection method for wireless sensor network data of Environment Oriented emergency event | |
| Wan et al. | An energy-efficient sleep scheduling mechanism with similarity measure for wireless sensor networks | |
| Chang et al. | CODA: A continuous object detection and tracking algorithm for wireless ad hoc sensor networks | |
| Zou et al. | Target localization based on energy considerations in distributed sensor networks | |
| KR100749177B1 (en) | Routing method in sensor network | |
| US9042828B2 (en) | Method, apparatus, and computer program product for optimized discovery between mobile devices | |
| Nasrin Banu et al. | Efficient energy management routing in WSN | |
| Singh et al. | An adaptive energy aware DTN-based communication layer for cyber-physical systems | |
| CN101252543B (en) | Rapid data anastomosing algorithm used for wireless sensor network | |
| Ammari et al. | Scheduling protocols for homogeneous and heterogeneous k-covered wireless sensor networks | |
| CN106792484B (en) | Tree-structure wireless sensor network networking method and system thereof | |
| Di Stefano et al. | It measures like me: An IoTs algorithm in WSNs based on heuristics behavior and clustering methods | |
| US7826412B2 (en) | Systems, methods and computer products for providing a gradient driven mesh-network establishment | |
| Garcia et al. | A global profile-based algorithm for energy minimization in object tracking sensor networks | |
| Sitanayah et al. | Heuristic algorithm for finding boundary cycles in location-free low density wireless sensor networks | |
| CN108650650B (en) | Wireless sensor network cluster head selection method for area coverage monitoring | |
| Brik et al. | Indoor thermal comfort collection of people with physical disabilities | |
| Abdellatief et al. | An energy-efficient coverage hole detection technique for randomly deployed wireless senor networks | |
| Olariu et al. | A simple and robust virtual infrastructure for massively deployed wireless sensor networks | |
| Deng et al. | Repair policies of coverage holes based dynamic node activation in wireless sensor networks | |
| Begum et al. | Election: Energy-efficient and low-latency scheduling technique for wireless sensor networks | |
| Dong et al. | Echo state neural network-assisted mobility-aware seamless handoff in mobile WSNs | |
| CN105472630B (en) | The wireless sensor network fringe node recognition methods differentiated based on triangle | |
| Anitha et al. | Network lifetime augmentation by EASR method in wireless sensor networks | |
| Wang et al. | Using event detection latency to evaluate the coverage of a wireless sensor network |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |