CN109640283A - A kind of low-consumption wireless sensing network design method based on self energizing technology - Google Patents
A kind of low-consumption wireless sensing network design method based on self energizing technology Download PDFInfo
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- CN109640283A CN109640283A CN201811619352.XA CN201811619352A CN109640283A CN 109640283 A CN109640283 A CN 109640283A CN 201811619352 A CN201811619352 A CN 201811619352A CN 109640283 A CN109640283 A CN 109640283A
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- 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
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L45/00—Routing or path finding of packets in data switching networks
- H04L45/12—Shortest path evaluation
- H04L45/124—Shortest path evaluation using a combination of metrics
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L45/00—Routing or path finding of packets in data switching networks
- H04L45/46—Cluster building
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W24/00—Supervisory, monitoring or testing arrangements
- H04W24/04—Arrangements for maintaining operational condition
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W40/00—Communication routing or communication path finding
- H04W40/02—Communication route or path selection, e.g. power-based or shortest path routing
- H04W40/04—Communication route or path selection, e.g. power-based or shortest path routing based on wireless node resources
- H04W40/10—Communication route or path selection, e.g. power-based or shortest path routing based on wireless node resources based on available power or energy
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W40/00—Communication routing or communication path finding
- H04W40/02—Communication route or path selection, e.g. power-based or shortest path routing
- H04W40/20—Communication route or path selection, e.g. power-based or shortest path routing based on geographic position or location
-
- 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
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- 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 present invention provides a kind of low-consumption wireless sensing network design method based on self energizing technology, detailed process are as follows: radio node is divided into multiple subnets, the reciprocity mesh network that plane formula is formed between each subnet interior nodes is directed to each subnet, after forming stable clustering architecture according to the routing rule of LEACH agreement, cluster node collects the information table of each member node, constructs neural network；It collects in sample database and is trained with the matched sample of cluster information about firms, obtain the neural network parameter of cluster member and cluster node；According to constructed neural network, the information after fusion treatment is sent to cluster node by each bunch member node；Received information is carried out fusion treatment by cluster node, and a small amount of characteristic value of reaction information is then transferred to other subnets and does further Data Fusion；The interface of the self energizing device of multiple kinds of energy acquisition is integrated on node.
Description
Technical field
The invention belongs to radio network technique field, in particular to a kind of low-consumption wireless sensing based on self energizing technology
Network design method.
Background technique
When wireless network is disposed in unattended environment, the replacement energy is almost impossible, in order to energy saving, answers
Network power consumption is reduced as far as possible.LEACH agreement is one of the algorithm of the Wireless sensor network clustering routing algorithm proposed earliest.
It has great influence to later many Routing Protocols based on hierarchical structure.Agreement periodically in whole network with
Machine elects cluster head, and member node then sends the data to leader cluster node, convergence is then forwarded to after being merged by cluster head to data
Node.After leader cluster node receives the addition solicited message that other nodes are sent, slot table is created, is each member point in cluster
With a time slot, subsequently into stable data transfer phase.Node can just send number only in one's own time slot
According to, and in other time slots, node is in a dormant state, to reduce the loss of energy.By the way of election cluster head at random
The energy loss of network is significantly reduced, extends Network morals, and use data fusion, the real-time of system
Very well, but frequently election cluster head expends energy, and node is required to have biggish power communication capability, and scalability is poor.
In the wireless network, the effect highly significant of data fusion is mainly reflected in three aspects: saving whole network
The accuracy of data collected by energy, enhancing and three aspects of efficiency for improving collection data.Data fusion is by node
What upper processor was completed, and the power consumption of processor only accounts for very small part in the power consumption of entire node.Due to current processor
It is successfully entered low-power consumption field, therefore the power consumption on data processing module is much smaller, the data of 1K bit are wirelessly
The energy of consumption required for 100 meters of transmission can allow the processor of 100MIPS to handle 3,000,000 instructions.Therefore in wireless network
Data fusion is carried out in node, the communication overhead that high energy consumption is reduced using the processor resource of low-power consumption is that have very much practical meaning
Justice.
In addition, the energy source of active wireless network node mainly using being battery, is difficult to obtain permanent battery use
Service life.If making Radio Transmission Node excavate energy from environment using energy acquisition or energy scavenging technology, to make wireless
Node avoids ability from unidirectionally successively decreasing, and handling capacity management and energy transfer technique solve the problems, such as the energy supply of node, will be big
It is big to improve the wireless network service life.
Summary of the invention
The low-consumption wireless sensing network design method based on self energizing technology that the invention proposes a kind of.This method is directed to
The wireless communication and data processing method of wireless sensor network interior joint carry out Low Power Optimization, support around by collecting
Environmental energy realizes node energy supply.
Realize that technical scheme is as follows:
A kind of low-consumption wireless sensing network design method based on self energizing technology, detailed process are as follows:
Radio node is divided into multiple subnets, the reciprocity mesh network of plane formula is formed between each subnet interior nodes；
For each subnet, after forming stable clustering architecture according to the routing rule of LEACH agreement, cluster node collect it is each at
The information table of member's node, constructs neural network；It collects in sample database and is trained with the matched sample of cluster information about firms,
Obtain the neural network parameter of cluster member and cluster node；According to constructed neural network, each bunch member node know its with
Information after fusion treatment is sent to cluster node by the shortest path that information is transmitted between cluster node, each bunch member node；
Received information is carried out fusion treatment by cluster node, and a small amount of characteristic value of reaction information is then transferred to other sons
Net does further Data Fusion；
The interface of the self energizing device of multiple kinds of energy acquisition is integrated on the node.
Further, during the routing rule of the present invention according to LEACH agreement forms stable clustering architecture, cluster
Node degree, node location, dump energy are comprehensively considered in the selection of node than factor, the selection principle of cluster node: are selected first
The conduct node to be selected that remaining node can be connected, then select the maximum node of weight for cluster node from node to be selected and
Select secondary big node alternately cluster node；
Wherein, TiIndicate node degree, PiIndicate node location, EiIndicate dump energy ratio,Expression is set
Fixed weight,
Further, the interstitial content that subnet number of the present invention and each subnet are accommodated can dynamic change.
Further, each subnet of the present invention realizes communication in net using orthogonal frequency pattern, uses same jump between net
Frequency pattern realizes internetwork communication.
Further, Data Fusion of the present invention is that distributed data base and memory technology are realized.
Further, the identity of subnet interior nodes of the present invention includes cluster node, alternative cluster node, gateway node, alternative net
Artis and bunch member node.
Further, the identity of subnet interior nodes of the present invention can be pre-configured with and on-line tuning.
Beneficial effect
Data fusion technique neural network based is applied to network by the present invention, reduces network power consumption, and it is comprehensive to improve network
Performance is closed, communication overhead can be reduced to the maximum extent.
Research will be unfolded in the present invention on LEACH protocol basis, optimize cluster head election algorithm, reduce network power consumption, support
The economic use network energy in most occasions.
The interface that the self energizing device of multiple kinds of energy acquisition is integrated on node of the present invention can be realized realization to multiple kinds of energy
The self energizing of node is realized in acquisition with excavating.
Detailed description of the invention
Fig. 1 is layered distribution type wireless ad hoc network configuration diagram of the present invention；
Fig. 2 is a kind of low-consumption wireless sensing network node composition schematic diagram based on self energizing technology of the present invention.
Specific embodiment
Invention is further described in detail with specific embodiment with reference to the accompanying drawing:
A kind of low-consumption wireless sensing network design method based on self energizing technology of the embodiment of the present invention, specifically:
Planned network framework: in conjunction with the characteristics of planar topologies and hierarchical topology structure, the net of layered distribution type is proposed
Network framework, as shown in Figure 1, radio node is divided into multiple subnets by the network architecture, what subnet number and each subnet were accommodated
Interstitial content can dynamic change, the network architecture have dynamic scalability, be a kind of layering of supporting node degree adaptive
The network architecture.The reciprocity mesh network of plane formula is formed between each subnet interior nodes, each node can act as routing in network
Node uses.Network settings have the node and backup node of different identity (Various Functions), specifically include cluster node, alternative cluster knot
Point, gateway node, candidate gateway node and bunch member node (ordinary node)；In order to which network whole volume, safety is effectively ensured
Property and reliability, each subnet communication in net is realized using orthogonal frequency pattern, meanwhile, in order to ensure the mutual of whole network
Join intercommunication characteristic, uses same frequency pattern to realize internetwork communication between net.Under this architecture by distributed information collection with
It is shared, realize the distributed resource management of identity-based, subnet interior nodes identity can be pre-configured with and on-line tuning.
Radio node integrated data acquisition unit, processor unit, wireless transmit/receive units and energy supply unit, such as Fig. 2
It is shown.Data acquisition unit is responsible for monitoring the acquisition and data conversion of information in region, integrates a variety of data-interfaces, can acquire number
Word/analog signal；Processor unit is responsible for controlling the operation of entire node, stores and processs data and its that this node acquires
The data that his node is sent；Wireless transmit/receive units are responsible for carrying out wireless communication with other nodes, and exchange of control information and transmitting-receiving are adopted
Collect data；Energy needed for energy supply unit provides operation for node, it is interior to be equipped with the interface for supporting self energizing device, it props up simultaneously
It holds integrated multiple kinds of energy acquisition and realizes node self energizing with excavation mode, energy coupling mode includes: piezoelectric effect, electrostatic effect
It answers, photoelectric effect, triboelectricity effect, magnetostrictive effect, pyroelectric effect etc., energy source includes: vibration mechanical energy, magnetic
Field energy, friction energy, thermal gradient energy, wind energy and solar energy etc..
Data fusion: data fusion is realized in application layer and network layer respectively.In application layer, each node utilizes distribution
Database and memory technology carry out fusion treatment to the redundant node information in network；In network layer, according to the road of LEACH agreement
After forming stable clustering architecture by rule, each cluster node collects each member node information about firms table, constructs neural network, then exists
It collects in sample database and is trained with the matched sample of cluster information about firms, the neural network for obtaining cluster member and cluster node is joined
Number, according to constructed neural network, every cluster member know its between cluster node information transmit shortest path, each cluster at
Information after fusion treatment is sent to cluster node according to the shortest path by member's node.
The data anastomosing algorithm is applied to each cluster, cluster node carries out the information that received each member node is sent
Then a small amount of characteristic value of reaction information is transferred to other subnets and carries out next step data fusion by further fusion treatment.Cause
This, using the volume of transmitted data for reducing subnet intermediate node, reduces the energy consumption of node, prolongs in wireless sensor network
Network life cycle is grown.
During forming stable clustering architecture according to the routing rule of LEACH agreement, since cluster node is general compared in cluster
Logical member node is responsible for more data processings and transformation task, and energy consumption rate is very fast, need to be using reasonable mechanism come the period
The selection cluster head of property, to allow energy consumption balance between node as much as possible, to extend the Web vector graphic service life.It is comprehensive in the embodiment of the present invention
It closes and considers that the dump energy of node, node location, Node distribution density, the factors optimizations cluster node such as communication cost chooses machine in cluster
System.Once there is node to be selected as cluster head, elected message need to be broadcasted within the scope of whole network or self communication.
Weight is calculated by than 3 kinds factors of the node degree, node location, dump energy from calculate node during selection,
Wherein parameter declaration is shown in Table 1, and is ranked up to node weight, and 3 kinds of factors use T respectivelyi、Pi、EiIt indicates, node calculates
Weight computing it is public as follows:
Wherein,
Table 1
The selection principle of cluster node: select can to connect first remaining node as node to be selected, then to be selected
It selects the maximum node of weight to select secondary big node alternately cluster node for cluster node in node, is weighed if there is calculating
It is worth identical, then the big node of node degree is selected as cluster node.
Node fusion of the present invention and data aggregate reduce wireless sensor network power consumption
It, can benefit using the method for node fusion and data aggregate since the node of dispersion deployment can generate a large amount of data
More valid data acquisitions are realized with the less traffic, can reduce the dynamic power consumption in wireless sensor network use process.
The present invention saves Internet resources using the routing of energy correlation and clustering method
Clustering network hierarchical structure of the present invention optimizes cluster head election algorithm, drop based on the expansion research of LEACH agreement
Low network power consumption supports use network energy economic in most occasions.
In conclusion the above is merely preferred embodiments of the present invention, being not intended to limit the scope of the present invention.
All within the spirits and principles of the present invention, any modification, equivalent replacement, improvement and so on should be included in of the invention
Within protection scope.
Claims (7)
1. a kind of low-consumption wireless sensing network design method based on self energizing technology, which is characterized in that detailed process are as follows:
Radio node is divided into multiple subnets, the reciprocity mesh network of plane formula is formed between each subnet interior nodes；
For each subnet, after forming stable clustering architecture according to the routing rule of LEACH agreement, cluster node collects each member's section
The information table of point constructs neural network；It collects in sample database and is trained with the matched sample of cluster information about firms, obtained
The neural network parameter of cluster member and cluster node；According to constructed neural network, each bunch member node knows itself and cluster knot
The information after fusion treatment is sent to cluster node by the shortest path of information transmission, each bunch member node between point；
Received information is carried out fusion treatment by cluster node, and a small amount of characteristic value of reaction information is then transferred to other subnets and is done
Further Data Fusion；
The interface of the self energizing device of multiple kinds of energy acquisition is integrated on the node.
2. the low-consumption wireless sensing network design method based on self energizing technology according to claim 1, which is characterized in that
During the routing rule according to LEACH agreement forms stable clustering architecture, section is comprehensively considered in the selection of cluster node
Point degree, node location, dump energy are than factor, and the selection principle of cluster node: selection can connect the work of remaining node first
For node to be selected, the maximum node of weight is then selected to select secondary big node for cluster node alternately from node to be selected
Cluster node；
Wherein, TiIndicate node degree, PiIndicate node location, EiIndicate dump energy ratio,Indicate setting
Weight,
3. the low-consumption wireless sensing network design method based on self energizing technology according to claim 1, which is characterized in that
The interstitial content that the subnet number and each subnet are accommodated can dynamic change.
4. the low-consumption wireless sensing network design method based on self energizing technology according to claim 1, which is characterized in that
Each subnet is realized in net using orthogonal frequency pattern and is communicated, and realizes internetwork communication using same frequency pattern between net.
5. the low-consumption wireless sensing network design method based on self energizing technology according to claim 1, which is characterized in that
The Data Fusion is that distributed data base and memory technology are realized.
6. the low-consumption wireless sensing network design method based on self energizing technology according to claim 2, which is characterized in that
The identity of the subnet interior nodes includes cluster node, alternative cluster node, gateway node, candidate gateway node and bunch member node.
7. the low-consumption wireless sensing network design method based on self energizing technology according to claim 1, which is characterized in that
The identity of subnet interior nodes can be pre-configured with and on-line tuning.
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