CN108966327A - A kind of service life extension method and system of agricultural wireless sensor network - Google Patents
A kind of service life extension method and system of agricultural wireless sensor network Download PDFInfo
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- CN108966327A CN108966327A CN201810958867.6A CN201810958867A CN108966327A CN 108966327 A CN108966327 A CN 108966327A CN 201810958867 A CN201810958867 A CN 201810958867A CN 108966327 A CN108966327 A CN 108966327A
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- 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
- H04W52/0203—Power saving arrangements in the radio access network or backbone network of wireless communication networks
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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
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- 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 invention discloses a kind of service life of agriculture wireless sensor network to extend method, and it includes: that step 1 constructs agriculture wireless sensor network which, which extends method,；Step 2 determines the induction range of each wireless sensor node；The cross-inductive range and evolution algorithm of step 3 wireless sensor node cluster wireless sensor node, obtain multiple initial clusters；Step 4 is screened constraint condition according to cluster head and is screened to the wireless sensor node in each initial cluster, and multiple cluster head clusters are obtained；Step 5 obtains the dump energy of each wireless sensor node in each cluster head cluster；Step 6 calculates the wake-up times of each wireless sensor node in each cluster head cluster according to the dump energy of each wireless sensor node in the cluster head cluster.Using method provided by the invention or system, under the premise of guaranteeing agriculture wireless sensor detection performance, extend the life cycle of agriculture wireless sensor network.
Description
Technical field
The present invention relates to the agriculture internet of things field in network communication technology field, in particular to a kind of agriculture wireless sensing
The service life of device network extends method and system.
Background technique
In agriculture field, agriculture feelings information is agricultural modernization production and management one on a large scale, in real time, is efficiently obtained
A important link.The data acquiring mode of the artificial acquisition of traditional dependence and wired measuring is in real-time, accuracy and convenience
Etc. be unable to satisfy the requirement of precision agriculture.The application of wireless sensor network technology compensates for these deficiencies just, allows
Grower can rapidly grasp the information of various monitoring objects, accomplish scientifically and rationally to carry out agricultural planting and production.
Agriculture wireless sensor network include can largely perceive, processing and transmission environment information node (namely without
Line sensor), and these node powers are limited, especially use under the rather harsh environments of farmland, so that efficiency becomes wireless
The key index of sensor network, then, the detection performance and life cycle of agriculture wireless sensor network how are balanced, is agriculture
Industry wireless sensor technology facing challenges.
Summary of the invention
The object of the present invention is to provide a kind of service life of agriculture wireless sensor network to extend method and system, is guaranteeing agriculture
Under the premise of industry wireless sensor detection performance, extend the life cycle of agriculture wireless sensor network.
To achieve the above object, the present invention provides following schemes:
A kind of service life extension method of agricultural wireless sensor network, the service life extend method and include:
Step 1: agriculture wireless sensor network is constructed；
Specific step is as follows:
The a large amount of wireless sensor nodes of random placement in monitoring area, and according to all wireless sensor nodes
Distribution relation constructs agriculture wireless sensor network；Wherein, the expression equation of the agriculture wireless sensor network is desired value
For λ2Homogeneous Poisson's equation；λ=A*d；A is the area of monitoring area；D is the close of wireless sensor node in monitoring area
Degree；The coordinate of each wireless sensor node is known in the agriculture wireless sensor network；
Step 2: the induction range of each wireless sensor node is determined；
Specific step is as follows:
Construct wireless sensor node signal detection model；The wireless sensor node signal detection model is for real-time
Determine that each wireless sensor node senses the energy of testee；
Determine the detection energy threshold of each wireless sensor node；
The energy that the wireless sensor node is sensed into testee inspection corresponding with the wireless sensor node
It surveys energy threshold to be compared, when the energy that the wireless sensor node senses testee is greater than the wireless sensor
When the corresponding detection energy threshold of node, determine testee that the wireless sensor node senses in the wireless sensing
The induction range of device node；
The induction range of the wireless sensor node is determined according to the position coordinates of the testee；
Step 3: according to the cross-inductive range of wireless sensor node in agriculture wireless sensor network and calculation of evolving
Method clusters the wireless sensor node, obtains multiple initial clusters；
Step 4: constraint condition is screened according to cluster head, the wireless sensor node in each initial cluster is carried out
Screening, obtains multiple cluster head clusters；
Step 5: the dump energy of each wireless sensor node in each cluster head cluster is obtained；
Step 6: according to the dump energy of each wireless sensor node in the cluster head cluster, each cluster is calculated
The wake-up times of each wireless sensor node in head cluster；
Specific step is as follows:
It is calculated using the following equation the wake-up times of each wireless sensor node in the same cluster head cluster；It is described
Formula isWherein, SjIndicate j-th of wireless sensing in the cluster head cluster
The wake-up times of device node；Ej-currentIndicate the dump energy of j-th of wireless sensor node in the cluster head cluster；N is indicated
The number of wireless sensor node in the cluster head cluster.
Optionally, the wireless sensor node signal detection model
Wherein, Ei(t) it indicates to sense the energy of testee in i-th of wireless sensor node of t moment；Es(t) it indicates
In the original energy that t moment is collected from testee；Lo(t) position coordinates of testee are indicated；LiIndicate i-th of nothing
The position coordinates of line sensor node；εi(t) zero mean Gaussian white noise is indicated.
Optionally, the detection energy threshold of the wireless sensor node are as follows:
Wherein, Eth,iIndicate the detection energy threshold of i-th of wireless sensor node；PFAIndicate maximum misinformation probability；
Indicate the variance of zero mean Gaussian white noise；N indicates the number of the sample of i-th of wireless sensor node.
Optionally, the cross-inductive range and evolution according to wireless sensor node in agriculture wireless sensor network
Algorithm clusters the wireless sensor node, obtains multiple initial clusters, specifically includes:
According to the induction range of the wireless sensor node in the agriculture wireless sensor network, the adjacent nothing is determined
Cross-inductive range between line sensor node；
Using evolution algorithm and low energy self-adaption cluster hierarchical structure, using the cross-inductive range as cluster condition,
Wireless sensor node in the agriculture wireless sensor network is clustered, multiple initial clusters are obtained.
Optionally, described that constraint condition is screened according to cluster head, to the wireless sensor node in each initial cluster
It is screened, obtains multiple cluster head clusters, specifically include:
Determine that cluster head screens constraint condition；
Constraint condition is screened according to the cluster head, the wireless sensor node in each initial cluster is sieved
Choosing, and the wireless sensor node filtered out in the initial cluster is saved in cluster head cluster, obtain multiple cluster heads
Cluster.
Optionally, the cluster head screens constraint condition are as follows:
Wherein, A is cluster head probability, and r is the quantity of current round, and G is that do not have the wireless biography of cluster head in upper primary 1/A wheel
Sensor node set；Ei-currentIt is the dump energy of i-th of wireless sensor node, Ei-maxIt is i-th of wireless sensor node
Primary power.
The present invention also provides a kind of service life of agriculture wireless sensor network to extend system, and the service life extends system packet
It includes:
Agriculture wireless sensor network constructs module, for constructing agriculture wireless sensor network；The agricultural is wireless to be passed
It is λ that the expression equation of sensor network, which is desired value,2Homogeneous Poisson's equation；λ=A*d；A is the area of monitoring area；D is monitoring
The density of wireless sensor node in region；Each wireless sensor node in the agriculture wireless sensor network
Coordinate is known；
Wireless sensor node induction range determining module, for determining the induction model of each wireless sensor node
It encloses；
Initial cluster obtains module, for the cross-inductive according to wireless sensor node in agriculture wireless sensor network
Range and evolution algorithm cluster the wireless sensor node, obtain multiple initial clusters；
Cluster head cluster obtains module, for screening constraint condition according to cluster head, to wireless in each initial cluster
Sensor node is screened, and multiple cluster head clusters are obtained；
Wireless sensor node dump energy obtains module, for obtaining each wireless sensing in each cluster head cluster
The dump energy of device node；
Wake-up times computing module, for the dump energy according to each wireless sensor node in the cluster head cluster,
Calculate the wake-up times of each wireless sensor node in each cluster head cluster；Storage in the wake-up times computing module
Wake-up times calculation formulaWherein, SjIndicate j-th of wireless sensor node
The wake-up times of point；Ej-currentIndicate the dump energy of every j wireless sensor node in the cluster head cluster；Described in n expression
The number of wireless sensor node in cluster head cluster.
Optionally, the initial cluster obtains module, specifically includes:
Cross-inductive range determination unit, for according to the wireless sensor node in the agriculture wireless sensor network
Induction range, determine the cross-inductive range between the adjacent wireless sensor node；
Initial cluster obtains unit, for using evolution algorithm and low energy self-adaption cluster hierarchical structure, with the friendship
Fork induction range is cluster condition, clusters, obtains to the wireless sensor node in the agriculture wireless sensor network
Multiple initial clusters.
Optionally, the cluster head cluster obtains module, specifically includes:
Cluster head screens constraint condition determination unit, for determining that cluster head screens constraint condition；The cluster head screening constraint item
Part isWherein, A is cluster head probability, and r is
The quantity of current round, G are that do not have the wireless sensor node set of cluster head in upper primary 1/A wheel；Ei-currentIt is i-th
The dump energy of wireless sensor node, Ei-maxIt is the primary power of i-th of wireless sensor node；
Cluster head cluster obtains unit, for screening constraint condition according to the cluster head, in each initial cluster
Wireless sensor node is screened, and the wireless sensor node filtered out in the initial cluster is saved in cluster head cluster
In, obtain multiple cluster head clusters.
The specific embodiment provided according to the present invention, the invention discloses following technical effects:
The present invention provides a kind of service life of agriculture wireless sensor network to extend method, which extends method and include:
Step 1 constructs agriculture wireless sensor network；Step 2 determines the induction range of each wireless sensor node；Step
Three according to the cross-inductive range and evolution algorithm of wireless sensor node in agriculture wireless sensor network, to the wireless biography
Sensor node is clustered, and multiple initial clusters are obtained；Step 4 screens constraint condition according to cluster head, to each initial set
Wireless sensor node in group is screened, and multiple cluster head clusters are obtained；Step 5 obtains every in each cluster head cluster
The dump energy of a wireless sensor node；Step 6 is according to the residual energy of each wireless sensor node in the cluster head cluster
Amount calculates the wake-up times of each wireless sensor node in each cluster head cluster.Using method provided by the invention or
System extends the life cycle of agriculture wireless sensor network under the premise of guaranteeing agriculture wireless sensor detection performance.
Detailed description of the invention
It in order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, below will be to institute in embodiment
Attached drawing to be used is needed to be briefly described, it should be apparent that, the accompanying drawings in the following description is only some implementations of the invention
Example, for those of ordinary skill in the art, without creative efforts, can also obtain according to these attached drawings
Obtain other attached drawings.
Fig. 1 is to extend the flow diagram of method the service life of agricultural wireless sensor network of the embodiment of the present invention；
Fig. 2 is schematic diagram of the sensor node random placement of the embodiment of the present invention in monitoring area；
Fig. 3 is to extend the structural schematic diagram of system the service life of agricultural wireless sensor network of the embodiment of the present invention.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts every other
Embodiment shall fall within the protection scope of the present invention.
The main reason for agriculture sensor wireless network lifetime of system is short is data collection requirements wireless sensor most
The number time is in active state, but testee detection only needs to be reported when event occurs.So extending agricultural sensing
The most effectual way in device wireless network service life is exactly the just activation operation in actual needs.Duty ratio scheme allows wireless sensing
Device node periodic wakeup simultaneously reenters sleep state.The battery capacity of wireless sensor node is conservation in a sleep mode
's.Wireless sensor node in sleep pattern can not perceptive object, and restore its sensing capability after its wake-up.
Each wireless sensor node has an induction range.If wireless sensor node is at a distance from testee
Less than induction range, then event can be reliably detected.For example, in wireless sensor node X, wireless sensor node Y and
The sensing range of wireless sensor node Z is overlapping.These three wireless sensor nodes can be in communication with each other, basic herein
On, as long as reasonably waking up one of wireless sensor node realizes detectability, without waking up this induction range
Whole wireless sensor nodes, extend the service life of wireless sensor network.
Therefore, the present invention is by having studied in detail different node densities, perception to persistent object and the detection of object in short-term
Fundamental relation between range and the target detection probability and detection delay of duty ratio, and propose a kind of agriculture wireless sensor
The service life of network extends method and system, and under the premise of guaranteeing agriculture wireless sensor detection performance, extension agricultural is wireless to be passed
Sensor Network morals.
In order to make the foregoing objectives, features and advantages of the present invention clearer and more comprehensible, with reference to the accompanying drawing and specific real
Applying mode, the present invention is described in further detail.
Fig. 1 is to extend the flow diagram of method the service life of agricultural wireless sensor network of the embodiment of the present invention, such as Fig. 1 institute
Show, it includes following steps that the service life of agricultural wireless sensor network provided in an embodiment of the present invention, which extends method to have,.
Step 101: constructing agriculture wireless sensor network.
Step 102: determining the induction range of each wireless sensor node.
Step 103: according to the cross-inductive range of wireless sensor node in agriculture wireless sensor network and calculation of evolving
Method clusters the wireless sensor node, obtains multiple initial clusters.
Step 104: constraint condition being screened according to cluster head, the wireless sensor node in each initial cluster is carried out
Screening, obtains multiple cluster head clusters.
Step 105: obtaining the dump energy of each wireless sensor node in each cluster head cluster.
Step 106: according to the dump energy of each wireless sensor node in the cluster head cluster, calculating each cluster
The wake-up times of each wireless sensor node in head cluster.
Step 101 is specific as follows:
The a large amount of wireless sensor nodes of random placement in monitoring area, and according to all wireless sensor nodes
Distribution relation constructs agriculture wireless sensor network；Wherein, the expression equation of the agriculture wireless sensor network is desired value
For λ2Homogeneous Poisson's equation；λ=A*d；A is the area of monitoring area；D is the close of wireless sensor node in monitoring area
Degree；The coordinate of each wireless sensor node is known in the agriculture wireless sensor network.
As shown in Fig. 2, a large amount of wireless sensor nodes of random placement in monitoring area.Due to the wireless sensing of deployment
The quantity of device node is very big, so it is λ that wireless sensor node, which is distributed as desired value,2Homogeneous Poisson distribution.Wherein, surveillance zone
The size in domain is A, and wireless sensor node density is d, λ=A × d；The probability of existing k sensor can table in monitor area A
It is shown as following formula
When testee appears in monitor area, and testee issues signal, the signal from testee sending
It is detected by wireless sensor node.
Lo(t) position coordinates of testee, L are indicatediIndicate the position coordinates of i-th of wireless sensor node.Background is made an uproar
Sound is zero mean Gaussian white noise, and variance isI-th of wireless sensor node uses N number of sample to minimize measurement and miss
Difference.Same EiIt (t) is also to be estimated by taking the average value of all N number of samples.Assuming that parameter σiIt is known when starting with N.
Difference regardless of the gain factor between wireless sensor node, in i-th of wireless sensor node of t moment
Sense the ENERGY E of testeei(t) are as follows:
Wherein, Es(t) original energy collected in t moment from testee is indicated.Es(t) it is simply modeled as
Gaussian random variable with distribution, i.e.,
Pass through central-limit theorem, εiIt (t) is approximately Gaussian random variable, i.e.,
At each wireless sensor node, required maximum misinformation probability is PFA.The inspection of i-th of wireless sensor node
Survey energy threshold is Eth,iIt can be obtained by calculation:
It is analyzed based on principles above, step 102 is specific as follows in the embodiment of the present invention:
Construct wireless sensor node signal detection model；The wireless sensor node signal detection model is for real-time
Determine that each wireless sensor node senses the energy of testee.The wireless sensor node signal detection model
Are as follows:
Wherein, Ei(t) it indicates to sense the energy of testee in i-th of wireless sensor node of t moment；Es(t) it indicates
In the original energy that t moment is collected from testee；Lo(t) position coordinates of testee are indicated；LiIndicate i-th of nothing
The position coordinates of line sensor node；εi(t) zero mean Gaussian white noise is indicated.
Determine the detection energy threshold of each wireless sensor node.The detection energy of the wireless sensor node
Threshold value are as follows:
Wherein, Eth,iIndicate the detection energy threshold of i-th of wireless sensor node；PFAIndicate maximum misinformation probability；
Indicate the variance of zero mean Gaussian white noise；N indicates the number of the sample of i-th of wireless sensor node.
The energy that the wireless sensor node is sensed into testee inspection corresponding with the wireless sensor node
It surveys energy threshold to be compared, when the energy that the wireless sensor node senses testee is greater than the wireless sensor
When the corresponding detection energy threshold of node, determine testee that the wireless sensor node senses in the wireless sensing
The induction range of device node.
The induction range of the wireless sensor node is determined according to the position coordinates of the testee.
Cooperation testee detection plays an important role in wireless sensor network.Due to each wireless sensor node
Point has limited computing capability, power and sensing range, therefore the cooperation between wireless sensor node is for compensating that
This limitation is important.The time of all wireless sensor nodes in wireless sensor network be all it is synchronous, can make
The wake-up of wireless sensor node cooperates with its neighbour with the service life of prolonging wireless sensor network.
Under the premise of guaranteeing object detection performance, the invention proposes a kind of novel Energy-awares to wake up scheme to prolong
The service life of long wireless sensor network.
The Energy-aware that the present invention designs wakes up scheme and has the following characteristics that
(1) meet object detection quality requirement.
(2) inductive energy is saved using low induction duty ratio.
(3) wireless sensor node only object occur when with its neighboring communication.
EAS algorithm (evolution algorithm) is the mechanism based on cluster, and the wireless sensor node in monitor area is divided into
Multiple initial clusters.Each initial cluster has cluster head and cluster member.
Low energy self-adaption cluster hierarchical structure (LEACH) is one of most popular hierarchical algorithm in sensor network.
The cluster head of each initial cluster is to change at random at any time, to balance the energy dissipation of wireless sensor node.
In order to select cluster head, each wireless sensor node determines the random number between 0 and 1.If the random number is less than given threshold M
(m), then the wireless sensor node become current round cluster head.Given threshold is provided that
Wherein, A is cluster head probability, and r is the quantity of current round, and G is that do not have the wireless biography of cluster head in upper primary 1/A wheel
Sensor node set.Above-mentioned given threshold ensures that each wireless sensor node goes completely into cluster head in 1/A wheel.
After all wireless sensor nodes are constantly in head, initial cluster will start next wireless sensor node
Point, and all wireless sensor nodes have the identical chance for being selected as head, including the seldom wireless biography of those energy
Sensor node.
Since the quantity of initial cluster is considerably beyond other wireless sensor nodes, can exhaust quickly.Therefore, this hair
It is bright to propose a kind of new cluster head selection method based on wireless sensor node dump energy, wherein Ei-currentIt is wireless sensing
The dump energy of device node, Ei-maxIt is the primary power of wireless sensor node.So given threshold M (m) is needed multiplied by expression
The factor of residue energy of node level, then given threshold is ultimately expressed as,
It is analyzed based on principles above, step 103 specifically includes in the embodiment of the present invention:
According to the induction range of the wireless sensor node in the agriculture wireless sensor network, the adjacent nothing is determined
Cross-inductive range between line sensor node.
Using evolution algorithm and low energy self-adaption cluster hierarchical structure, using the cross-inductive range as cluster condition,
Wireless sensor node in the agriculture wireless sensor network is clustered, multiple initial clusters are obtained.
Step 104 specifically includes:
Determine that cluster head screens constraint condition；The cluster head screens constraint condition are as follows:
A is cluster head probability, and r is the quantity of current round, and G is that do not have the wireless sensor of cluster head in upper primary 1/A wheel
Node set；Ei-currentIt is the dump energy of i-th of wireless sensor node, Ei-maxIt is the first of i-th of wireless sensor node
Beginning energy.
Constraint condition is screened according to the cluster head, the wireless sensor node in each initial cluster is sieved
Choosing, and the wireless sensor node filtered out in the initial cluster is saved in cluster head cluster, obtain multiple cluster heads
Cluster；The number of the cluster head cluster is identical as the number of the initial cluster.
If wireless sensor node has different dump energies, the wireless sensor node with more energy is answered
This more frequently works as head than the wireless sensor node with less energy, to ensure all wireless sensor nodes in substantially phase
Same time discharge.
Step 106 specifically includes:
Each wireless sensor node in cluster head cluster very close to and their sensing coverage rate high superposed,
Therefore they can be cooperated, the no less important in test object.This, which is indicated that, occurs in their sensing range
Object may be detected by any of which.For each cluster head cluster, according to the wireless biography for including in cluster head cluster
Sensor node number determines wakeup time.If there is n wireless sensor node node in cluster head cluster, cluster head cluster it is total
Wakeup time is n.So, the wake-up times of every j wireless sensor node are in cluster head clusterEj-currentIndicate every j wireless sensor node in the cluster head cluster
Dump energy；N indicates the number of wireless sensor node in the cluster head cluster.
Technical solution provided by the invention can make the node with more dump energies carry out more detection work.It is logical
This mode is crossed, the energy for the wireless sensor node that it can avoid in advance some dump energies few is reduced.In order to keep believing
Number detection performance, needs to calculate the wake-up times of each wireless sensor node in cluster head cluster.So that each in cluster head cluster
Wireless sensor node evenly distributes wake-up.
By taking Fig. 2 as an example, X, Y and the Z of dump energy 3J, 1J and 2J are located in same cluster head cluster.According to formulaSX=3/2, SY=1/2 and SZ=1 are obtained, the wake-up of X is three times of Y,
Then X wakes up 3 times, and Y wakes up once, and Z wakes up twice.In this way, the energy of X and Y can be with synchronous consumption.
To achieve the above object, the present invention also provides a kind of service life of agriculture wireless sensor network to extend system.
Fig. 3 is to extend the structural schematic diagram of system the service life of agricultural of embodiment of the present invention wireless sensor network；Such as Fig. 3 institute
Show, the service life provided in an embodiment of the present invention extends system and includes:
Agriculture wireless sensor network constructs module 100, for constructing agriculture wireless sensor network；The agricultural is wireless
It is λ that the expression equation of sensor network, which is desired value,2Homogeneous Poisson's equation；λ=A*d；A is the area of monitoring area；D is prison
Control the density of wireless sensor node in region；Each wireless sensor node in the agriculture wireless sensor network
Coordinate be known.
Wireless sensor node induction range determining module 200, for determining the sense of each wireless sensor node
Answer range.
Initial cluster obtains module 300, for the intersection according to wireless sensor node in agriculture wireless sensor network
Induction range and evolution algorithm cluster the wireless sensor node, obtain multiple initial clusters.
Cluster head cluster obtains module 400, for screening constraint condition according to cluster head, to the nothing in each initial cluster
Line sensor node is screened, and multiple cluster head clusters are obtained.
Wireless sensor node dump energy obtains module 500, each wireless in each cluster head cluster for obtaining
The dump energy of sensor node.
Wake-up times computing module 600, for the residual energy according to each wireless sensor node in the cluster head cluster
Amount calculates the wake-up times of each wireless sensor node in each cluster head cluster；In the wake-up times computing module
Store wake-up times calculation formulaWherein, SjIndicate j-th of wireless sensor
The wake-up times of node；Ej-currentIndicate the dump energy of every j wireless sensor node in the cluster head cluster；N indicates institute
State the number of wireless sensor node in cluster head cluster.
The initial cluster obtains module 300, specifically includes:
Cross-inductive range determination unit, for according to the wireless sensor node in the agriculture wireless sensor network
Induction range, determine the cross-inductive range between the adjacent wireless sensor node.
Initial cluster obtains unit, for using evolution algorithm and low energy self-adaption cluster hierarchical structure, with the friendship
Fork induction range is cluster condition, clusters, obtains to the wireless sensor node in the agriculture wireless sensor network
Multiple initial clusters.
The cluster head cluster obtains module 400, specifically includes:
Cluster head screens constraint condition determination unit, for determining that cluster head screens constraint condition；The cluster head screening constraint item
Part isWherein, A is cluster head probability, and r is current round
Quantity, G are that do not have the wireless sensor node set of cluster head in upper primary 1/A wheel；Ei-currentIt is i-th of wireless sensor
The dump energy of node, Ei-maxIt is the primary power of i-th of wireless sensor node.
Cluster head cluster obtains unit, for screening constraint condition according to the cluster head, in each initial cluster
Wireless sensor node is screened, and the wireless sensor node filtered out in the initial cluster is saved in cluster head cluster
In, obtain multiple cluster head clusters.
Each embodiment in this specification is described in a progressive manner, the highlights of each of the examples are with other
The difference of embodiment, the same or similar parts in each embodiment may refer to each other.For system disclosed in embodiment
For, since it is corresponded to the methods disclosed in the examples, so being described relatively simple, related place is said referring to method part
It is bright.
Used herein a specific example illustrates the principle and implementation of the invention, and above embodiments are said
It is bright to be merely used to help understand method and its core concept of the invention；At the same time, for those skilled in the art, foundation
Thought of the invention, there will be changes in the specific implementation manner and application range.In conclusion the content of the present specification is not
It is interpreted as limitation of the present invention.
Claims (9)
1. a kind of service life of agricultural wireless sensor network extends method, which is characterized in that the service life extends method and includes:
Step 1: agriculture wireless sensor network is constructed；
Specific step is as follows:
The a large amount of wireless sensor nodes of random placement in monitoring area, and according to the distribution of all wireless sensor nodes
Relationship constructs agriculture wireless sensor network；Wherein, it is λ that the expression equation of the agriculture wireless sensor network, which is desired value,2
Homogeneous Poisson's equation；λ=A*d；A is the area of monitoring area；D is the density of wireless sensor node in monitoring area；?
The coordinate of each wireless sensor node is known in the agricultural wireless sensor network；
Step 2: the induction range of each wireless sensor node is determined；
Specific step is as follows:
Construct wireless sensor node signal detection model；The wireless sensor node signal detection model for determining in real time
Each wireless sensor node senses the energy of testee；
Determine the detection energy threshold of each wireless sensor node；
The energy that the wireless sensor node is sensed into testee detection energy corresponding with the wireless sensor node
Amount threshold value is compared, when the energy that the wireless sensor node senses testee is greater than the wireless sensor node
When corresponding detection energy threshold, determine testee that the wireless sensor node senses in the wireless sensor node
The induction range of point；
The induction range of the wireless sensor node is determined according to the position coordinates of the testee；
Step 3: right according to the cross-inductive range and evolution algorithm of wireless sensor node in agriculture wireless sensor network
The wireless sensor node is clustered, and multiple initial clusters are obtained；
Step 4: screening constraint condition according to cluster head, screen to the wireless sensor node in each initial cluster,
Obtain multiple cluster head clusters；
Step 5: the dump energy of each wireless sensor node in each cluster head cluster is obtained；
Step 6: according to the dump energy of each wireless sensor node in the cluster head cluster, each cluster head collection is calculated
The wake-up times of each wireless sensor node in group；
Specific step is as follows:
It is calculated using the following equation the wake-up times of each wireless sensor node in the same cluster head cluster；The formula
ForWherein, SjIndicate j-th of wireless sensor node in the cluster head cluster
The wake-up times of point；Ej-currentIndicate the dump energy of j-th of wireless sensor node in the cluster head cluster；Described in n expression
The number of wireless sensor node in cluster head cluster.
2. the service life according to claim 1 extends method, which is characterized in that the wireless sensor node signal detection mould
Type are as follows:
Wherein, Ei(t) it indicates to sense the energy of testee in i-th of wireless sensor node of t moment；Es(t) it indicates in t
The original energy that moment collects from testee；Lo(t) position coordinates of testee are indicated；LiIndicate i-th of wireless biography
The position coordinates of sensor node；εi(t) zero mean Gaussian white noise is indicated.
3. the service life according to claim 2 extends method, which is characterized in that the detection energy of the wireless sensor node
Threshold value are as follows:
Wherein, Eth,iIndicate the detection energy threshold of i-th of wireless sensor node；PFAIndicate maximum misinformation probability；It indicates
The variance of zero mean Gaussian white noise；N indicates the number of the sample of i-th of wireless sensor node.
4. the service life according to claim 1 extends method, which is characterized in that described according in agriculture wireless sensor network
Wireless sensor node cross-inductive range and evolution algorithm, the wireless sensor node is clustered, is obtained more
A initial cluster, specifically includes:
According to the induction range of the wireless sensor node in the agriculture wireless sensor network, the adjacent wireless biography is determined
Cross-inductive range between sensor node；
Using evolution algorithm and low energy self-adaption cluster hierarchical structure, using the cross-inductive range as cluster condition, to institute
The wireless sensor node stated in agriculture wireless sensor network is clustered, and multiple initial clusters are obtained.
5. the service life according to claim 1 extends method, which is characterized in that it is described that constraint condition is screened according to cluster head, it is right
Wireless sensor node in each initial cluster is screened, and is obtained multiple cluster head clusters, is specifically included:
Determine that cluster head screens constraint condition；
Constraint condition is screened according to the cluster head, the wireless sensor node in each initial cluster is screened, and
The wireless sensor node filtered out in the initial cluster is saved in cluster head cluster, multiple cluster head clusters are obtained.
6. the service life according to claim 5 extends method, which is characterized in that the cluster head screens constraint condition and is
Wherein, A is cluster head probability, and r is the quantity of current round, and G is that do not have the wireless sensor of cluster head in upper primary 1/A wheel
Node set；Ei-currentIt is the dump energy of i-th of wireless sensor node, Ei-maxIt is the first of i-th of wireless sensor node
Beginning energy.
7. a kind of service life of agricultural wireless sensor network extends system, which is characterized in that the service life extends system and includes:
Agriculture wireless sensor network constructs module, for constructing agriculture wireless sensor network；The agricultural wireless sensor
It is λ that the expression equation of network, which is desired value,2Homogeneous Poisson's equation；λ=A*d；A is the area of monitoring area；D is monitoring area
The density of interior wireless sensor node；The coordinate of each wireless sensor node in the agriculture wireless sensor network
It is known；
Wireless sensor node induction range determining module, for determining the induction range of each wireless sensor node；
Initial cluster obtains module, for the cross-inductive range according to wireless sensor node in agriculture wireless sensor network
And evolution algorithm, the wireless sensor node is clustered, multiple initial clusters are obtained；
Cluster head cluster obtains module, for screening constraint condition according to cluster head, to the wireless sensing in each initial cluster
Device node is screened, and multiple cluster head clusters are obtained；
Wireless sensor node dump energy obtains module, for obtaining each wireless sensor node in each cluster head cluster
The dump energy of point；
Wake-up times computing module is calculated for the dump energy according to each wireless sensor node in the cluster head cluster
The wake-up times of each wireless sensor node in each cluster head cluster；Storage wakes up in the wake-up times computing module
Number calculation formulaWherein, SjIndicate j-th of wireless sensor node
Wake-up times；Ej-currentIndicate the dump energy of every j wireless sensor node in the cluster head cluster；N indicates the cluster head
The number of wireless sensor node in cluster.
8. the service life according to claim 7 extends system, which is characterized in that the initial cluster obtains module, specific to wrap
It includes:
Cross-inductive range determination unit, for the sense according to the wireless sensor node in the agriculture wireless sensor network
Range is answered, determines the cross-inductive range between the adjacent wireless sensor node；
Initial cluster obtains unit, for using evolution algorithm and low energy self-adaption cluster hierarchical structure, with intersection sense
Answering range is cluster condition, clusters, obtains multiple to the wireless sensor node in the agriculture wireless sensor network
Initial cluster.
9. the service life according to claim 7 extends system, which is characterized in that the cluster head cluster obtains module, specific to wrap
It includes:
Cluster head screens constraint condition determination unit, for determining that cluster head screens constraint condition；The cluster head screens constraint conditionWherein, A is cluster head probability, and r is current
The quantity of round, G are that do not have the wireless sensor node set of cluster head in upper primary 1/A wheel；Ei-currentIt is wireless i-th
The dump energy of sensor node, Ei-maxIt is the primary power of i-th of wireless sensor node；
Cluster head cluster obtains unit, for screening constraint condition according to the cluster head, to wireless in each initial cluster
Sensor node is screened, and the wireless sensor node filtered out in the initial cluster is saved in cluster head cluster,
Obtain multiple cluster head clusters.
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