CN108153215A - Orchard remote real time monitoring system - Google Patents
Orchard remote real time monitoring system Download PDFInfo
- Publication number
- CN108153215A CN108153215A CN201711451532.7A CN201711451532A CN108153215A CN 108153215 A CN108153215 A CN 108153215A CN 201711451532 A CN201711451532 A CN 201711451532A CN 108153215 A CN108153215 A CN 108153215A
- Authority
- CN
- China
- Prior art keywords
- orchard
- data
- node
- routed path
- environment data
- 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.)
- Pending
Links
Classifications
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/04—Programme control other than numerical control, i.e. in sequence controllers or logic controllers
- G05B19/048—Monitoring; Safety
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Automation & Control Theory (AREA)
- Arrangements For Transmission Of Measured Signals (AREA)
Abstract
The present invention provides orchard remote real time monitoring systems, and including grating sensing monitoring device, long-range monitoring platform and user terminal, the grating sensing monitoring device, user terminal communicate to connect respectively with long-range monitoring platform；The grating sensing monitoring device is used to acquire orchard environment data, and orchard environment data are sent to long-range monitoring platform；The long-range monitoring platform is used to analyze and process orchard environment data for storing orchard environment data and other orchard information data.The present invention realizes the remote real time monitoring to orchard environment.
Description
Technical field
The present invention relates to orchard monitoring technical fields, and in particular to orchard remote real time monitoring system.
Background technology
During fruit tree growth, orchard environment information is to growth and development of fruit tree, decision-making of production management and disease
Insect pest occurrence and development and prevention etc. have important influence.The acquisition of traditional orchard environment information, which relies primarily on, manually to be come
It completes, it is not only time-consuming and laborious in this way but also efficiency is very low.
Invention content
In view of the above-mentioned problems, the present invention provides orchard remote real time monitoring system.
The purpose of the present invention is realized using following technical scheme：
Orchard remote real time monitoring system is provided, including grating sensing monitoring device, long-range monitoring platform and user terminal, institute
Grating sensing monitoring device, the user terminal stated communicate to connect respectively with long-range monitoring platform；The grating sensing monitoring device is used to adopt
Collect orchard environment data, and orchard environment data are sent to long-range monitoring platform；The long-range monitoring platform
For storing orchard environment data and other orchard information data, and for being carried out at analysis to orchard environment data
Reason.
Beneficial effects of the present invention are：It allows users to obtain orchard environment information in real time, reduces traditional letter
It is limited in breath acquisition process by factors such as time and spaces, realizes the remote real time monitoring of orchard environment.
Description of the drawings
Using attached drawing, the invention will be further described, but the embodiment in attached drawing does not form any limit to the present invention
System, for those of ordinary skill in the art, without creative efforts, can also obtain according to the following drawings
Other attached drawings.
The structure diagram of the orchard remote real time monitoring system of Fig. 1 one embodiment of the invention；
Fig. 2 is the connection block diagram of the long-range monitoring platform of one embodiment of the invention.
Reference numeral：
Grating sensing monitoring device 1, long-range monitoring platform 2, user terminal 3, data memory module 10, Data Analysis Services module
20th, data transmit-receive module 30, alarm module 40.
Specific embodiment
The invention will be further described with the following Examples.
Referring to Fig. 1, orchard remote real time monitoring system provided in this embodiment, including grating sensing monitoring device 1, long-range monitoring
Platform 2 and user terminal 3, the grating sensing monitoring device 1, user terminal 3 communicate to connect respectively with long-range monitoring platform 2；Institute
The grating sensing monitoring device 1 stated is used to acquire orchard environment data, and orchard environment data are sent to long-range monitoring
Platform 2；The long-range monitoring platform 2 is used for pair for storing orchard environment data and other orchard information data
Orchard environment data are analyzed and processed.
Preferably, as shown in Fig. 2, the long-range monitoring platform 2 includes data memory module 10, Data Analysis Services mould
Block 20, data transmit-receive module 30.
Wherein, the data memory module 10 is used to store orchard environment data and other orchard information data；
The Data Analysis Services module 20 is defeated for orchard environment data and normal setting value to be compared
Go out abnormal orchard environment data；
The data transmit-receive module 30 is used to implement between long-range monitoring platform 2 and user terminal 3, grating sensing monitoring device 1
Data communication.
Further, the long-range monitoring platform 2 further includes alarm module 40, alarm module 40 and Data Analysis Services
Module 20, data transmit-receive module 30 connect, for sending alarm signal to user terminal in orchard environment data exception.
Preferably, the orchard environment data include aerial temperature and humidity, the soil moisture, soil moisture, the wind in orchard
Speed, gas concentration lwevel, intensity of illumination.
Preferably, other described orchard information data include orchard area, fruit tree number, fruit tree type, fruit tree growth
Condition information.
The orchard environment intelligent monitor system of the above embodiment of the present invention setting allows users to obtain fruit in real time
Garden pressures on ecology and environment reduces in conventional information acquisition process and is limited by factors such as time and spaces, realizes orchard life
The remote real time monitoring of state environment.
In one embodiment, the grating sensing monitoring device include sensor node, data processing node, communication node and
Aggregation node, sensor node is for being acquired orchard environment data, and by the orchard environment data of acquisition
A data processing node being sent in its communication range；Data processing node carries out at compression orchard environment data
A communication node being sent to compressed orchard environment data after reason in its communication range, communication node is for receiving
Collect the orchard environment data of multiple data processing nodes, and by the orchard environment data of collection along optimal routed path
Aggregation node is sent to, and then orchard environment data are converged by aggregation node and are sent to long-range monitoring platform 2.
Above-mentioned sensor node, data processing node, communication node and aggregation node together constituted with monitoring and
The wireless sensor network of data acquisition function.The present embodiment is realized using wireless sensor network technology to orchard ecology ring
The long-range real-time acquisition of border data.
Optionally, multiple sensor nodes, data processing node, communication node all random placements are monitored in the orchard of setting
In region.
In one embodiment, the orchard environment data of acquisition are sent in its communication range by sensor node
One data processing node, specifically includes：
(1) when initial, sensor node communicate in the range of each data processing node carry out information exchange, so as to
Obtain the information of each data processing node in its communication range；
(2) preferred value of each data processing node in its communication range is calculated according to the information of acquisition：
In formula, PijRepresent the preferred value for being located at data processing node j in sensor node i communication ranges, RiFor sensor
The communication radius of node i, d (i, j) be the distance between sensor node i and data processing node j, RijFor the data processing
The communication radius of node j, N (Rij/ 2) it is the R in data processing node jijThe communication node number having in/2 communication ranges,
RikFor the communication radius of k-th of data processing node in sensor node i communication ranges, N (Rik/ 2) it is in k-th of data
Handle the R of nodeikThe communication node number having in/2 communication ranges, miFor the number having in sensor node i communication ranges
According to processing node number,Weight coefficient for artificial settings；
(3) each data processing node is ranked up according to the descending sequence of preferred value, generation neighbor data processing
Node listing；
(4) data processing node that is preceding and meeting basic energy requirement is selected to make in neighbor data processing node listing
For the destination node that orchard environment data are sent, the orchard environment data of acquisition are sent directly to the purpose section
Point.
In the relevant technologies, sensor node is typically by the maximum or closest data processing section of current remaining
The destination node that point is sent as orchard environment data so as to balanced node energy consumption or reduces orchard environment data
The cost of transmission, however this mode can not be equalized node energy consumption and reduce the cost of orchard environment data transmission
Optimization.
Distance of the present embodiment between data processing node and sensor node, data processing node periphery communication node
Two angles of aggregation situation are set out, and have formulated the calculation formula of preferred value, since the shorter then orchard environment data of distance pass
Defeated communications cost is smaller, and it is successful more at most to compress orchard environment data forwarding for communication node near data processing node
Probability is bigger, and orchard environment data receiver and compression are being undertaken so as to which preferred value can weigh data processing node well
Position advantage in terms of task it is excellent.
The present embodiment determines that neighbor data handles node listing by the calculating of preferred value first, then from neighbor data
Processing node listing selects data processing node that is preceding and meeting basic energy requirement to be sent out as orchard environment data
The destination node sent so that sensor node can select to meet first at energy requirement and the best data of current location advantage
Node is managed to undertake orchard environment data receiver and compression duty, so as to make sensor node between data processing node
Orchard environment data transmission communications cost smaller, and node energy consumption balanced as much as possible.
In one embodiment, number that is preceding and meeting basic energy requirement is selected in neighbor data processing node listing
The destination node sent according to node is handled as orchard environment data, specially：Judge that neighbor data handles node listing
In first data processing node current remaining whether be more than setting minimum energy value, if more than the minimum energy of setting
Magnitude, the then destination node that the data processing node is sent as orchard environment data, if the minimum energy no more than setting
Magnitude, judges whether the current remaining of next data processing node in neighbor data processing node listing is more than setting
Minimum energy value, and so on, until determining the destination node that orchard environment data are sent.This gives in neighbour
It occupies data processing node list and selects data processing node that is preceding and meeting basic energy requirement as orchard environment
The concrete mode for the destination node that data are sent, which are simple and fast.
In one embodiment, the orchard environment data of acquisition are persistently sent to destination node by sensor node,
When the current remaining of the destination node is less than the minimum energy value of setting, sensor node is again in neighbor data processing
Data processing node that is preceding and meeting basic energy requirement is selected to be sent as orchard environment data in node listing
Destination node.The present embodiment considers the energy loss situation of current data processing node, can ensure orchard ecology ring
Border data are transferred to the stability of data processing node from sensor node.
In one embodiment, compressed orchard environment data are sent to its communication range by data processing node
An interior communication node, specifically includes：
(1) initialize when, data processing node communicate in the range of each communication node carry out information exchange, so as to
Obtain the information of each communication node in its communication range；
(2) the position weights of each communication node are calculated according to the information of acquisition：
In formula, QabRepresent the position weights of the communication node b in data processing node a communication ranges, d (a, b) is data
Processing node a communicate in the range of the distance between communication node b, d (b, sink) is the communication node b to convergence section
The distance of point, β1、β2For preset weight coefficient；
(3) each communication node is ranked up according to the descending sequence of position weights, it is logical according to λ before sequencing selection
Believe that node as communication node to be selected, generates communication node list to be selected；
(4) after orchard environment data are compressed, the communication node into communication node list to be selected is sent
The message of request data transfer meets the communication node of forwarding condition returning response message after receiving that message, is rung returning
The node as a purpose that current remaining value maximum is selected in multiple communication nodes of message is answered, data are established with destination node
Compressed orchard environment data are sent to the destination node by forwarding relationship；
Wherein, the forwarding condition is：Current remaining is more than the minimum energy value of setting, and establishes data forwarding
The data processing node number of relationship is less than the maximum number value of setting.
It is typically chosen communication node closer to the distance and larger current remaining in the prior art to forward data, it is this
Mode causes communication node closer to the distance and larger current remaining to undertake excessive data forwarding task, is easy to cause this
Communication node fails.
Relative to the prior art, the present embodiment sets data processing node to the Routing Protocol of communication node, wherein setting
The calculation formula of position weights and forwarding condition are determined, range data processing node and the nearer communication node of aggregation node have
The position weights of bigger, therefore the position weights can weigh communication node and carry out compression orchard environment data well
Position advantage in terms of forwarding it is excellent.
The present embodiment by several communication nodes for selecting position weights larger as communication node to be selected, and further with
Forwarding condition come limit undertaken excessive data forwarding task communication node no longer established with data processing node data turn
Hair relationship, can ensure communication node do not allow it is vulnerable under the premise of as far as possible save compression orchard environment data forwarding
Communications cost and energy balance are beneficial to improve the stability of wireless sensor network, extend the acquisition of orchard environment data
Work period.
In one embodiment, the optimal routed path of communication node is determined by aggregation node, specially：
(1) aggregation node obtains communication node Φ to a plurality of routed path and relevant information of aggregation node, wherein related
Information includes the communication node information and link-state information that routed path passes through；
(2) according to a plurality of routed path and relevant information of acquisition, routed path is carried out with modified particle swarm optiziation
Optimization, finally obtains optimal routed path；
(3) routed path return information is sent to communication node Φ, and more new communications nodes Φ along optimal routed path
Routing table, wherein routed path return information includes the information of optimal routed path, so as to which communication node Φ is according to routing road
The optimal routed path that diameter return information obtains sends orchard environment data.
Wherein, the modified particle swarm optiziation includes：
(1) a routed path is regarded as particle that a dimension is n, wherein n is the communication section that the routed path passes through
Point total number, by the use of a plurality of routed path got as primary group；
(2) adaptive value of each particle is calculated according to following fitness function, according to particle adaptive value more new individual extreme value
And global extremum：
In formula, LμRepresent the 7th article of routed path in primary group, Q (Lμ) represent routed path LμAdaptive value, E (Lμ)
For routed path LμThe current remaining of the communication node of middle energy minimum, E (Lv) it is routed path LvMiddle energy is minimum to be led to
Believe node current remaining, ξ be primary group in routed path total number, 3os6 (Lμ) represent routed path Lμ's
Link overhead, γ1、γ2For preset weight coefficient, the weight that energy, link overhead influence is represented respectively；
(3) the corresponding routed path of setting global extremum is global optimum path, finds current routed path and the overall situation most
The communication node that shortest path intersects is represented with set J, if J is sky, in random two communication separately of current routed path
The communication node for belonging to global optimum path is found in the common neighbours of node, replaces current random two communication nodes
Intermediate communication node, if more preferably communication node is not found, without replacement operation；
(4) when J is not empty, current routed path and global optimum path are divided into several by the communication node in J
Route segment compares current routed path with global optimum path, when in current routed path there are a route segment with
During the corresponding route segment difference in global optimum path, the correspondence of current routed path is replaced with the route segment in global optimum path
Route segment；
(5) more new individual extreme value and global extremum, until iteration update times are more than the update times threshold value of setting.
Particle cluster algorithm of the prior art have be easy to describe, be easy to implement, parameter is few, population size is small, convergence needs
The advantages that wanting few number of valuation functions, fast convergence rate.However, particle cluster algorithm of the prior art cannot be used directly to really
Fixed optimal routed path first, because each particle in the present embodiment has different dimensions, is not applied in particle cluster algorithm
The identical condition of particle dimension, second is that because existing particle cluster algorithm is according to movement side to the update of particle rapidity and position
What the signed magnitude arithmetic(al) in journey was realized, the routed path being made of in the present embodiment communication section point set can not realize the fortune of addition and subtraction
It calculates, based on this, the present embodiment is improved existing particle cluster algorithm, it is proposed that a kind of modified particle swarm optiziation, and profit
Solve the problems, such as that the present embodiment finds optimal routed path with modified particle swarm optiziation.In addition, the present embodiment is based on energy
The calculation formula of adaptive value has been formulated with two factors of link overhead, can ensure energy consumption balance, this reality is passed through by aggregation node
The mode of example is applied to determine optimal routed path, the energy that the burden of communication node and link-state information obtain can be efficiently reduced
Cost is measured, so as on the whole so that orchard remote real time monitoring system is more energy saving.
Finally it should be noted that the above embodiments are merely illustrative of the technical solutions of the present invention rather than the present invention is protected
The limitation of range is protected, although being explained in detail with reference to preferred embodiment to the present invention, those of ordinary skill in the art should
Work as understanding, technical scheme of the present invention can be modified or replaced equivalently, without departing from the reality of technical solution of the present invention
Matter and range.
Claims (6)
1. orchard remote real time monitoring system, it is characterized in that, including grating sensing monitoring device, long-range monitoring platform and user terminal,
The grating sensing monitoring device, user terminal communicate to connect respectively with long-range monitoring platform；The grating sensing monitoring device is used for
Orchard environment data are acquired, and orchard environment data are sent to long-range monitoring platform；The long-range monitoring is flat
Platform is used to analyze orchard environment data for storing orchard environment data and other orchard information data
Processing.
2. orchard remote real time monitoring system according to claim 1, it is characterized in that, the long-range monitoring platform includes
Data memory module, Data Analysis Services module and data transmit-receive module；The data memory module is given birth to for storing orchard
State environmental data and other orchard information data；The Data Analysis Services module is for by orchard environment data and just
Standing definite value is compared, the orchard environment data of output abnormality；The data transmit-receive module is used to implement long-range monitoring
Data between platform and user terminal, grating sensing monitoring device communicate.
3. orchard remote real time monitoring system according to claim 2, it is characterized in that, the long-range monitoring platform also wraps
Alarm module is included, for sending alarm signal to user terminal in orchard environment data exception.
4. according to claim 1-3 any one of them orchard remote real time monitoring system, it is characterized in that, the sensor monitoring
Device includes sensor node, data processing node, communication node and aggregation node, and sensor node is used for orchard ecology ring
Border data are acquired, and the orchard environment data of acquisition are sent to a data processing section in its communication range
Point；Data processing node sends compressed orchard environment data after orchard environment data are carried out with compression processing
To a communication node in its communication range, communication node is used to collect the orchard environment number of multiple data processing nodes
According to, and the orchard environment data of collection are sent to aggregation node, and then converged by aggregation node along optimal routed path
Orchard environment data are simultaneously sent to long-range monitoring platform.
5. orchard remote real time monitoring system according to claim 4, it is characterized in that, at multiple sensor nodes, data
Node, communication node all random placements are managed in the monitoring region of the orchard of setting.
6. orchard remote real time monitoring system according to claim 4, it is characterized in that, communication node is determined by aggregation node
Optimal routed path, specially：
(1) aggregation node obtains communication node Φ to a plurality of routed path and relevant information of aggregation node, wherein relevant information
The communication node information and link-state information passed through including routed path；
(2) according to a plurality of routed path and relevant information of acquisition, routed path is optimized with modified particle swarm optiziation,
Finally obtain optimal routed path；
(3) routed path return information is sent to communication node Φ, and the more road of new communications nodes Φ along optimal routed path
By table, wherein routed path return information includes the information of optimal routed path, so as to which communication node Φ is returned according to routed path
The optimal routed path that complex information obtains sends orchard environment data.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711451532.7A CN108153215A (en) | 2017-12-27 | 2017-12-27 | Orchard remote real time monitoring system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711451532.7A CN108153215A (en) | 2017-12-27 | 2017-12-27 | Orchard remote real time monitoring system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN108153215A true CN108153215A (en) | 2018-06-12 |
Family
ID=62463540
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201711451532.7A Pending CN108153215A (en) | 2017-12-27 | 2017-12-27 | Orchard remote real time monitoring system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN108153215A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108981807A (en) * | 2018-07-09 | 2018-12-11 | 梧州市兴能农业科技有限公司 | A kind of civil engineering work intelligent monitor system |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103228023A (en) * | 2013-04-25 | 2013-07-31 | 青岛农业大学 | Wireless sensor network clustering routing method based on particle swarm optimization and ant colony optimization |
| CN106911574A (en) * | 2017-02-26 | 2017-06-30 | 中南民族大学 | Name data network multiple constraint routing algorithm based on population |
| CN107257367A (en) * | 2017-06-07 | 2017-10-17 | 梧州市兴能农业科技有限公司 | Orchard environment wireless sensor network monitoring system |
| CN107317859A (en) * | 2017-06-26 | 2017-11-03 | 梧州市兴能农业科技有限公司 | A kind of orchard environment intelligent monitor system |
| CN107483632A (en) * | 2017-09-20 | 2017-12-15 | 程丹秋 | A kind of aquaculture ambient intelligence monitoring system |
-
2017
- 2017-12-27 CN CN201711451532.7A patent/CN108153215A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103228023A (en) * | 2013-04-25 | 2013-07-31 | 青岛农业大学 | Wireless sensor network clustering routing method based on particle swarm optimization and ant colony optimization |
| CN106911574A (en) * | 2017-02-26 | 2017-06-30 | 中南民族大学 | Name data network multiple constraint routing algorithm based on population |
| CN107257367A (en) * | 2017-06-07 | 2017-10-17 | 梧州市兴能农业科技有限公司 | Orchard environment wireless sensor network monitoring system |
| CN107317859A (en) * | 2017-06-26 | 2017-11-03 | 梧州市兴能农业科技有限公司 | A kind of orchard environment intelligent monitor system |
| CN107483632A (en) * | 2017-09-20 | 2017-12-15 | 程丹秋 | A kind of aquaculture ambient intelligence monitoring system |
Non-Patent Citations (1)
| Title |
|---|
| 朱永红: "PSO优化的能耗均衡WSNs路由算法", 《仪器仪表学报》 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108981807A (en) * | 2018-07-09 | 2018-12-11 | 梧州市兴能农业科技有限公司 | A kind of civil engineering work intelligent monitor system |
| CN108981807B (en) * | 2018-07-09 | 2020-02-18 | 内蒙古万和工程项目管理有限责任公司 | Civil engineering building intelligent monitoring system |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN103906164B (en) | Maritime search and rescue wireless sensor network topology and topology control method | |
| CN108418623A (en) | A kind of satellite QoS routing algorithms based on improvement ant group algorithm | |
| Shanmugam et al. | An energy‐efficient clustering and cross‐layer‐based opportunistic routing protocol (CORP) for wireless sensor network | |
| Kashyap et al. | Genetic-fuzzy based load balanced protocol for WSNs | |
| CN110049526A (en) | Based on the method for data capture and system for improving cluster algorithm in WSN | |
| Pavai et al. | Study of routing protocols in wireless sensor networks | |
| Cao et al. | A mobility-supported routing mechanism in industrial IoT networks | |
| CN108020644A (en) | Aquaculture water quality monitors system | |
| CN108154669A (en) | Intelligent monitoring system for bridge | |
| Menaria et al. | A fault tolerance based route optimisation and data aggregation using artificial intelligence to enhance performance in wireless sensor networks | |
| CN113411766A (en) | Intelligent Internet of things comprehensive sensing system and method | |
| Pandiyaraju et al. | An optimal energy utilization model for precision agriculture in WSNs using multi-objective clustering and deep learning | |
| CN108174428A (en) | Landslide wireless monitor early warning system | |
| CN108419304A (en) | A kind of wireless sensor network (WSN) water quality monitoring system | |
| Yadawad et al. | Energy-efficient data aggregation and cluster-based routing in wireless sensor networks using tasmanian fully recurrent deep learning network with pelican variable marine predators algorithm | |
| CN108153215A (en) | Orchard remote real time monitoring system | |
| CN108200148A (en) | The orchard monitoring system of employing wireless sensor network | |
| Mittal et al. | An Energy Efficient Stable Clustering Approach Using Fuzzy Type-2 Neural Network Optimization Algorithm For Wireless Sensor Networks. | |
| Rajan et al. | Investigation on novel based naturally-inspired swarm intelligence algorithms for optimization problems in mobile ad hoc networks | |
| Khan et al. | QPRD: QoS‐Aware Peering Routing Protocol for Delay‐Sensitive Data in Hospital Body Area Network | |
| Dey et al. | Fruit Fly algorithm based clustering protocol in wireless sensor networks | |
| CN114867078A (en) | Wireless ad hoc network routing link selection method | |
| Rabelo et al. | An approach based on fuzzy inference system and ant colony optimization for improving the performance of routing protocols in Wireless Sensor Networks | |
| Wu et al. | Energy-aware routing for wireless sensor networks by AHP | |
| CN109389516B (en) | Real-time intelligent soil pollution monitoring system |
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 | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20180612 |