CN104883718A - Multilayer prediction control method for sensing network data transmission, and system thereof - Google Patents
Multilayer prediction control method for sensing network data transmission, and system thereof Download PDFInfo
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Abstract
The invention provides a multilayer prediction control method for sensing network data transmission, and a system thereof. The multilayer prediction control method comprises the steps of dividing the nodes to a plurality of clusters; determining a control node and a transmission node in each cluster; predicting data transmission flow of the transmission node in each cluster according to an established prediction control strategy, and broadcasting the transmission node which appears in the prediction result of the prediction by the control node. Because the control node only broadcasts the transmission node which appears in the prediction result of the prediction, electric power wastage in long-time waiting is prevented, thereby improving node energy control under a precondition that transmission time delay exists. Effective data flow prediction improves the accuracy of data transmission and furthermore improves service life of the whole sensing network.
Description
Technical field
The present invention relates to sensor network field, particularly a kind of multilayer forecast Control Algorithm of sensing network transfer of data and system.
Background technology
Radio sensing network by being placed in monitored area by having perception in a large number, the microsensor node of calculating and communication capacity forms, and is a kind of network of self-organization distribution.These sensing nodes have the features such as price is low, volume is little, Monitoring Data information gathers the relevant information of surrounding environment by the cooperation between network node, after carrying out simple data processing, use the communication mode of short distance multi-hop by information transmission for further analysis and process to base station.
Under normal circumstances, the energy of wireless sensor node is only provided by the battery of finite capacity, and energy is difficult to supplement.How to save node energy, the maximization network life-span is the most primary problem in wireless sensor network protocols research, and energy hole problem mainly conducts a research from two aspects: expansion battery power and reduce troublesome operation.But the former is subject to more physical factor restriction.
Such as: the Chinese invention patent " data transmission method of multilayer distributed wireless sensor network " of number of patent application CN201010248181.1 publication number CN101895956A provides the multi layer control method forming link structure by carrying out sub-clustering to radio sensing network, node energy is one of influencing factor formulating link, but the time delay in network transmission process is not considered.
Daniele Bernardini etc. use the Robust Model Predictive Control method of energy-conscious to carry out being with the transmission of the wireless senser of transmission noise to control, controller is utilized directly to carry out controlling to transducer and feed back, therefore the radio sensing network of complexity is had some limitations and (refer to Automatica.vol.48, no.1, pp:36-44,2012).
Due to the not just simple transmission lag of the network delay in transmitting procedure, but control problem is complicated, so the transmission delay between the idealized network node of most research.Therefore, be badly in need of a kind of valid wireless sensor network data transmission control method, solve the inefficacy of the Internet Transmission that transmission delay causes, and the energy dissipation problem of transmission node.
Summary of the invention
The object of this invention is to provide a kind of inefficacy of Internet Transmission contributing to solving transmission delay and cause, and the multilayer forecast Control Algorithm of the sensing network transfer of data of the energy dissipation problem of transmission node and system.
As a first aspect of the present invention, provide a kind of multilayer forecast Control Algorithm of sensing network transfer of data, comprising: node is divided into multiple bunches; Determine the Controlling vertex in each bunch and transmission node; The data transmission stream of predictive control strategy to the transmission node in each bunch according to building is predicted, Controlling vertex is only broadcasted to the transmission node of the middle appearance that predicts the outcome of prediction.
Further, predictive control strategy is built by following manner: each sampling instant, using the transmission quantity of each transmission node as system state variables, sensor sample data amount is inputted as system, to set up the state space description of transmission network; Under state space description, the predicted value that minimum target function obtains optimal transmission approach data transmission stream of each transmission node in following one section of time domain is solved by solving.
Further, method also comprises: according to the predicated error of data transmission stream, carries out error compensation to prediction.
Further, predicated error comes from Controlling vertex feedback; The target function used when predicting by predictive control strategy carries out iteration according to the predicated error of feedback and upgrades with compensation prediction error in flowing time domain.
Further, bunch the Controlling vertex in is the node that dump energy is maximum.
Further, if bunch in there is the identical node of two or more dump energies, so choose as the few node of Controlling vertex number of times as Controlling vertex.
Further, when node is divided into multiple bunches, according to positional information, ant group algorithm is adopted to carry out sub-clustering to all nodes.
As a second aspect of the present invention, provide a kind of multilayer Predictive Control System of sensing network transfer of data, comprising: multiple node, multiple node is divided into multiple bunches, and the node in each bunch is divided into Controlling vertex and transmission node; Controller, is connected with Controlling vertex communication, and controller is predicted according to the data transmission stream of predictive control strategy to the transmission node in each bunch built; Controlling vertex is only broadcasted to the transmission node of the middle appearance that predicts the outcome of prediction.
Further, controller is in each sampling instant, using the transmission quantity of each transmission node as system state variables, sensor sample data amount is inputted as system, to set up the state space description of transmission network, under obtaining optimal transmission approach by the target function of solving state spatial description, in following one section of time domain, the predicted value of the data transmission stream of each transmission node.
Further, the predicated error of data transmission stream is fed back to controller by Controlling vertex; Controller, according to predicated error, carries out iteration to target function and upgrades with compensation prediction error in flowing time domain.
Because Controlling vertex is only broadcasted to the transmission node of the middle appearance that predicts the outcome of prediction, thus, avoid the power consumption waited as long for, thus under the prerequisite of propagation delay time existence, strengthen the energy hole of node, its effective data flow prediction improves the accuracy rate of transfer of data, extends whole sensing network useful life.Accompanying drawing explanation
Fig. 1 is the sub-clustering exemplary plot of radio sensing network transmission node;
Fig. 2 is the hierarchical control Organization Chart of radio sensing network;
Fig. 3 is the Propagation Simulation figure of Controlling vertex A in 50s;
Fig. 4 is the Propagation Simulation figure of Controlling vertex B in 50s;
Fig. 5 is the Propagation Simulation figure of Controlling vertex C in 50s;
Fig. 6 is the Propagation Simulation figure of Controlling vertex D in 50s.
Embodiment
Be below the detailed description of the preferred embodiment of the present invention, should be appreciated that preferred embodiment only in order to the present invention is described, instead of in order to limit the scope of the invention.
As a first aspect of the present invention, please refer to Fig. 1, the invention provides the multilayer forecast Control Algorithm of a kind of sensing network (such as radio sensing network etc.) transfer of data, comprising: node is divided into multiple bunches; Determine the Controlling vertex in each bunch and transmission node; The data transmission stream of predictive control strategy to the transmission node in each bunch according to building is predicted, Controlling vertex only carries out broadcasting (namely carrying out transfer of data with transmission node) to the transmission node of the middle appearance that predicts the outcome of prediction.
Preferably, bunch quantity and the transmission frequency of node and/or the inversely proportional function of transmission range, such as, when the transmission frequency transmission range that is high or transmission node of transmission node is far away, the quantity to reduce bunch is to reduce the energy consumption of Controlling vertex.Especially, sub-clustering is carried out to all nodes in sensing network.Preferably, predictive control strategy is set up in rolling time horizon, and its data transmission stream for the sensing network to following one section of time domain is predicted.
Especially, only have those in predicting the outcome, the data that the transmission node that transfer of data may occur just can be collected send to controller.This can be understood as, the result that controller is predicted sends to relevant Controlling vertex, Controlling vertex predicting the outcome again according to controller, transmission node to the meeting generation transfer of data in predicting the outcome sends broadcast, after the transmission node during these are predicted receives broadcast, its data direct (not passing through Controlling vertex) are transferred to controller.
Please refer to Fig. 1, in the schematic embodiment of shown in Fig. 1, all nodes are divided into four bunches, and be provided with Controlling vertex A, B, C and a D in each bunch, these Controlling vertex are connected with controller communication respectively.Obviously, bunch number be not limited in the embodiment shown in Fig. 1 situation, but can to determine according to above-mentioned principle.
Because Controlling vertex is only broadcasted to the transmission node of the middle appearance that predicts the outcome of prediction, thus, the energy ezpenditure that the long-time monitored data transmission avoiding sensing node causes, thus under the prerequisite of propagation delay time existence, strengthen the energy hole of transmission node, the prediction of effective data flow avoids the Transmission brought because of node energy deficiency, shortens overall transmission path, and efficient node energy controls to extend whole sensing network useful life.
Preferably, predictive control strategy is built by following manner: each sampling instant, using the transmission quantity of each transmission node as system state variables, sensor sample data amount is inputted as system, to set up the state space description of transmission network; The predicted value of optimal transmission approach data transmission stream of each transmission node in following one section of time domain is obtained by solving minimum target function under state space description.Obviously, predictive control strategy also can by the other technologies means of this area, and such as ARMA (ARMA model) etc. build, and are not built in mode cited in the present invention, as long as can play the effect of prediction.
Preferably, please refer to Fig. 2, this method also comprises: according to the predicated error of data transmission stream, carries out error compensation to prediction.
Preferably, predicated error comes from Controlling vertex feedback; The target function used when predicting by predictive control strategy carries out iteration according to the predicated error of feedback and upgrades with compensation prediction error in flowing time domain.The existence of predicated error inspires carries out prediction behavior (such as, can be performed by controller), otherwise performs the predicting strategy of nearest moment to Internet Transmission stream.
Preferably, bunch the Controlling vertex in is the node that dump energy is maximum.Such as, transmission node that greedy algorithm, the link clustering algorithm based on node ID or the passive cluster algorithm prioritizing selection dump energy based on channel access are maximum can be used as Controlling vertex, and Controlling vertex is not re-used as the transmission node of this transfer of data.
Preferably, if bunch in there is the identical node of two or more dump energies, so choose as the few node of Controlling vertex number of times as Controlling vertex.Such as, Controlling vertex can be variation in time, and such as, the first moment may be some nodes, and another moment, may be again another node.Visible, in rolling time horizon, as the transmission node of non-controlling node at subsequent time whether as transmission node, relevant with dump energy with the position of this transmission node.Especially, when transmitting, all can predict accordingly at every turn, and determine that determined Controlling vertex is transmitted in this time.
Preferably, when node is divided into multiple bunches, according to positional information, ant group algorithm, genetic algorithm, neural network algorithm or particle cluster algorithm etc. is adopted to carry out sub-clustering to all nodes, obviously, the intelligent algorithm of other routine of this area also can be adopted to carry out sub-clustering to node.
Please refer to Fig. 3 to Fig. 6, which show the Propagation Simulation figure of sensing network transmission node A-D in 50s.As shown in Figure 3, when the transmission quantity of transmission node is zero, illustrate that this node does not participate in transmission work in transmitting procedure at the moment.The transmission quantity of each transmission node controls within the specific limits, and illustrative system has stronger robustness, and efficient transmission node energy hole.
As a second aspect of the present invention, please refer to Fig. 1 and Fig. 2, provide a kind of multilayer Predictive Control System of sensing network transfer of data, comprising: multiple node, multiple node is divided into multiple bunches, and the node in each bunch is divided into Controlling vertex and transmission node; Controller, is connected with Controlling vertex communication, and controller is predicted according to the data transmission stream of predictive control strategy to the transmission node in each bunch built; Controlling vertex is only broadcasted to the transmission node of the middle appearance that predicts the outcome of prediction.
Preferably, controller is in each sampling instant, using the transmission quantity of each transmission node as system state variables, sensor sample data amount is inputted as system, to set up the state space description of transmission network, under obtaining optimal transmission approach by the target function of solving state spatial description, in following one section of time domain, the predicted value of the data transmission stream of each transmission node.
Preferably, the predicated error of data transmission stream is fed back to controller by Controlling vertex; Controller, according to predicated error, carries out iteration to target function and upgrades with compensation prediction error in flowing time domain.The existence of predicated error inspires controller and carries out prediction behavior, otherwise performs the predicting strategy of nearest moment to Internet Transmission stream.
Please refer to Fig. 2, predicated error is fed back to controller by each Controlling vertex, to form closed feedback loop.By strengthening the constraint to system state variables predicated error in the target function of controller, the iteration of target function in rolling time horizon upgrades with compensation prediction error.
Please refer to Fig. 3 to Fig. 6, which show the Propagation Simulation figure of sensing network transmission node A-D in 50s.As shown in Figure 3, when the transmission quantity of transmission node is zero, illustrate that this node does not participate in transmission work in transmitting procedure at the moment.The transmission quantity of each transmission node controls within the specific limits, and illustrative system has stronger robustness, and efficient transmission node energy hole.
In sum, the angle that the present invention is transmitted from overall heat transfer agent, establishes multi layer control framework, and carries out sub-clustering to all nodes, and in every bunch, chooses a node as Controlling vertex, other as transmission node.On this basis, the present invention considers that transmission delay constructs predictive control strategy, and predicts according to the optimal transmission data flow of this predictive control strategy to the next moment of transmission network.When predicated error exists, also by Controlling vertex, this predicated error is fed back to controller, to carry out predicated error compensation and to upgrade the strategy predicted, thus there is good robustness, efficiently solve the ineffectiveness of the control method of time delay initiation, under the prerequisite that can exist in propagation delay time, strengthen the energy hole of radio node, so that prediction data stream effectively, improves the accuracy rate of transfer of data, extend the useful life of whole radio sensing network.
The foregoing is only the preferred embodiments of the present invention, be not limited to the present invention, obviously, those skilled in the art can carry out various change and modification to the present invention and not depart from the spirit and scope of the present invention.Like this, if these amendments of the present invention and modification belong within the scope of the claims in the present invention and equivalent technologies thereof, then the present invention is also intended to comprise these change and modification.
Claims (10)
1. a multilayer forecast Control Algorithm for sensing network transfer of data, is characterized in that, comprising:
Node is divided into multiple bunches;
Determine the Controlling vertex in each described bunch and transmission node;
Predict according to the data transmission stream of the predictive control strategy built to the described transmission node in each described bunch, described Controlling vertex is only broadcasted to the transmission node of the middle appearance that predicts the outcome of described prediction.
2. multilayer forecast Control Algorithm according to claim 1, is characterized in that, predictive control strategy is logical
Cross following manner build:
Each sampling instant, using the transmission quantity of each described transmission node as system state variables, inputs sensor sample data amount as system, to set up the state space description of transmission network;
Under described state space description, the predicted value that minimum target function obtains optimal transmission approach data transmission stream of each described transmission node in following one section of time domain is solved by solving.
3. multilayer forecast Control Algorithm according to claim 1 and 2, is characterized in that, described method also comprises:
According to the predicated error of described data transmission stream, error compensation is carried out to described prediction.
4. multilayer forecast Control Algorithm according to claim 3, is characterized in that, described predicated error comes from described Controlling vertex feedback;
The target function used when carrying out described prediction by predictive control strategy carries out iteration according to the described predicated error of feedback and upgrades with compensation prediction error in flowing time domain.
5. multilayer forecast Control Algorithm according to claim 1, is characterized in that, the Controlling vertex in described bunch is the node that dump energy is maximum.
6. multilayer forecast Control Algorithm according to claim 5, is characterized in that, if had in described bunch
The node that two or more dump energies are identical, so choose as the few node of Controlling vertex number of times as Controlling vertex.
7. multilayer forecast Control Algorithm according to claim 5, is characterized in that, when node is divided into multiple bunches, according to positional information, adopts ant group algorithm to carry out sub-clustering to all nodes.
8. a multilayer Predictive Control System for sensing network transfer of data, is characterized in that, comprising:
Multiple node, described multiple node is divided into multiple bunches, and the node in each described bunch is divided into Controlling vertex and transmission node;
Controller, is connected with described Controlling vertex communication, and described controller is predicted according to the data transmission stream of the predictive control strategy built to the described transmission node in each described bunch;
Described Controlling vertex is only broadcasted to the transmission node of the middle appearance that predicts the outcome of described prediction.
9. multilayer Predictive Control System according to claim 8, it is characterized in that, described controller is in each sampling instant, using the transmission quantity of each described transmission node as system state variables, sensor sample data amount is inputted as system, to set up the state space description of transmission network, under obtaining optimal transmission approach by the target function solving described state space description, in following one section of time domain, the predicted value of the data transmission stream of each described transmission node.
10. multilayer Predictive Control System according to claim 9, is characterized in that,
The predicated error of described data transmission stream is fed back to described controller by described Controlling vertex;
Described controller, according to described predicated error, carries out iteration to described target function and upgrades with compensation prediction error in flowing time domain.
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Cited By (3)
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| CN109963262A (en) * | 2019-01-28 | 2019-07-02 | 华南理工大学 | Wireless sensor method for optimizing scheduling in a kind of wireless sensor network |
| CN111935667A (en) * | 2020-08-18 | 2020-11-13 | 电子科技大学 | Power distribution method for packet predictive control system |
| CN115397043A (en) * | 2022-08-22 | 2022-11-25 | 山东华迪智能技术有限公司 | Intelligent wireless sensor networking control method and system |
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109963262A (en) * | 2019-01-28 | 2019-07-02 | 华南理工大学 | Wireless sensor method for optimizing scheduling in a kind of wireless sensor network |
| CN109963262B (en) * | 2019-01-28 | 2020-08-18 | 华南理工大学 | Wireless sensor scheduling optimization method in wireless sensor network |
| CN111935667A (en) * | 2020-08-18 | 2020-11-13 | 电子科技大学 | Power distribution method for packet predictive control system |
| CN111935667B (en) * | 2020-08-18 | 2022-04-12 | 电子科技大学 | Power distribution method for packet predictive control system |
| CN115397043A (en) * | 2022-08-22 | 2022-11-25 | 山东华迪智能技术有限公司 | Intelligent wireless sensor networking control method and system |
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