CN113099464A - Wireless sensor network deployment method for power distribution network and computer readable medium storing channel detection program - Google Patents

Wireless sensor network deployment method for power distribution network and computer readable medium storing channel detection program Download PDF

Info

Publication number
CN113099464A
CN113099464A CN202110519300.0A CN202110519300A CN113099464A CN 113099464 A CN113099464 A CN 113099464A CN 202110519300 A CN202110519300 A CN 202110519300A CN 113099464 A CN113099464 A CN 113099464A
Authority
CN
China
Prior art keywords
channel
sensor network
wireless sensor
fading
model
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN202110519300.0A
Other languages
Chinese (zh)
Other versions
CN113099464B (en
Inventor
郭夫然
宋文卓
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
State Grid Corp of China SGCC
Economic and Technological Research Institute of State Grid Henan Electric Power Co Ltd
Original Assignee
State Grid Corp of China SGCC
Economic and Technological Research Institute of State Grid Henan Electric Power Co Ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by State Grid Corp of China SGCC, Economic and Technological Research Institute of State Grid Henan Electric Power Co Ltd filed Critical State Grid Corp of China SGCC
Priority to CN202110519300.0A priority Critical patent/CN113099464B/en
Publication of CN113099464A publication Critical patent/CN113099464A/en
Application granted granted Critical
Publication of CN113099464B publication Critical patent/CN113099464B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W16/00—Network planning, e.g. coverage or traffic planning tools; Network deployment, e.g. resource partitioning or cells structures
    • H04W16/18—Network planning tools
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W16/00—Network planning, e.g. coverage or traffic planning tools; Network deployment, e.g. resource partitioning or cells structures
    • H04W16/22—Traffic simulation tools or models
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W24/00—Supervisory, monitoring or testing arrangements
    • H04W24/06—Testing, supervising or monitoring using simulated traffic
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W84/00—Network topologies
    • H04W84/18—Self-organising networks, e.g. ad-hoc networks or sensor networks
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D30/00—Reducing energy consumption in communication networks
    • Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks

Landscapes

  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Mobile Radio Communication Systems (AREA)

Abstract

A wireless sensor network deployment method facing a power distribution network and a computer readable medium storing a channel detection program include acquiring a path fading index of an initial wireless sensor network
Figure DDA0003063306340000011
Signal fading at reference distance
Figure DDA0003063306340000012
Adding a wireless node in the initial wireless sensor network to form a wireless sensor network to be confirmed, and measuring the wireless sensor network to be confirmedPath fading index of network
Figure DDA0003063306340000013
Signal fading at reference distance
Figure DDA0003063306340000014
Correcting path fading index
Figure DDA0003063306340000015
Correcting signal fading at reference distance
Figure DDA0003063306340000016
And determining whether the wireless node is successfully deployed according to the logarithmic distance path loss model. Through the verification of the actually measured data of the application environment, the influence of the restriction factors such as the radio frequency interference of the power distribution network, the dynamic change of a channel and the like can be reduced, and the effectiveness of the deployed wireless nodes is improved.

Description

Wireless sensor network deployment method for power distribution network and computer readable medium storing channel detection program
Technical Field
The invention relates to the technical field of wireless sensor network deployment, in particular to a wireless sensor network deployment method facing a power distribution network and a computer readable medium storing a channel detection program.
Background
The wireless sensor network works in a typical low-power lossy channel, and the power distribution network has the characteristics of serious radio frequency interference, complex environment and the like on site, so that the working channel of the wireless sensor network is highly variable and has poor reliability. The existing wireless sensor network deployment method is based on a channel model for deployment, after deployment, the network performance is seriously dependent on the adopted channel model, and the high dynamic change of the channel makes a static channel model difficult to accurately estimate the channel quality, so that the network reliability cannot be ensured. Therefore, a system capable of ensuring the reliability of a deployed network in a complex radio frequency environment is needed.
Disclosure of Invention
The invention aims to provide a distribution network-oriented wireless sensor network deployment method and a computer-readable medium storing a channel detection program so as to deploy a reliable wireless sensor network in a distribution network environment with complex radio frequency.
The technical scheme of the invention is as follows:
a wireless sensor network deployment method facing a power distribution network comprises the following steps:
acquiring a first channel physical quantity of an initial wireless sensor network, wherein the first channel physical quantity comprises a path fading index
Figure BDA0003063306320000011
Signal fading at reference distance
Figure BDA0003063306320000012
The initial wireless sensor network meets the communication requirement estimated by a logarithmic distance path loss model;
adding a wireless node in an initial wireless sensor network to form a wireless sensor network to be confirmed, and measuring a second channel physical quantity of the wireless sensor network to be confirmed, wherein the second channel physical quantity comprises a path fading index
Figure BDA0003063306320000013
Signal fading at reference distance
Figure BDA0003063306320000014
Correcting path fading index
Figure BDA0003063306320000015
Correcting signal fading at reference distance
Figure BDA0003063306320000016
And estimating whether the wireless sensor network to be confirmed meets the communication requirement or not by using a logarithmic distance path loss model, and if the wireless sensor network to be confirmed meets the communication requirement, determining that the wireless node is deployed successfully.
Preferably, the logarithmic distance path loss model is
Figure BDA0003063306320000021
In the formula, Pr(d) Representing the received signal strength as a function of distance d, ptTo transmit powerPL is signal fading at a reference distance, alpha is a path fading index, d is a distance between a transmitting end and a receiving end, and d is a distance between the transmitting end and the receiving end0Is a reference distance.
Preferably, the method for calculating the average path fading index includes the following steps:
the transmitting end transmits n data packets to the receiving end through a channel to be measured, and the signal fading PL ═ PL of the data packets is measured at a reference distance1,pl2,…,plnAt the receiving end, the signal receiving strength P of the received data packet is measuredr＝{pr1,pr2,…,prn}；
Combined transmission power PtDistance d between sending end and receiving end and reference distance d0Measuring and calculating the path fading index alpha of the ith (i is more than or equal to 1 and less than or equal to n) data packetiWherein the path fading index
Figure BDA0003063306320000022
In the formula, PtFor transmission power, PLiFor signal fading, pr, of the ith packet at a reference distanceiThe signal receiving strength of the ith data packet received by the receiving end, d is the distance between the transmitting end and the receiving end, d0Is a reference distance; transmission power ptDistance d between sending end and receiving end and reference distance d0Are known quantities associated with the measurement system.
The path fading index is
Figure BDA0003063306320000023
The signal at the reference distance is faded to
Figure BDA0003063306320000024
A computer-readable medium storing a channel detection program, the channel detection program comprising a channel model maintenance module, an operation module, an output module, and an input module;
for the channel model maintenance moduleIn the updating of the channel model, the channel model before updating is set as an initial channel model, a model of a wireless node is added in the initial channel model as a channel model to be confirmed, and the initial channel model comprises a path fading index
Figure BDA0003063306320000025
Signal fading at reference distance
Figure BDA0003063306320000026
The input module is used for inputting the channel measurement physical quantity of the channel model to be confirmed, and the channel measurement physical quantity comprises signal fading of the ith (i is more than or equal to 1 and less than or equal to n) data packet at the reference distance
Figure BDA0003063306320000027
The signal receiving intensity of the ith (i is more than or equal to 1 and less than or equal to n) data packet received by the receiving end
Figure BDA0003063306320000031
The operation module is used for calculating the corrected path fading index of the channel model to be confirmed
Figure BDA0003063306320000032
And corrected signal fading at reference distance
Figure BDA0003063306320000033
Calculating the corrected path fading index of the channel model to be confirmed
Figure BDA0003063306320000034
And corrected signal fading at reference distance
Figure BDA0003063306320000035
Comprises the following steps:
calculating the path fading index of the ith (i is more than or equal to 1 and less than or equal to n) data packet received by the receiving end by combining the channel measurement physical quantity
Figure BDA0003063306320000036
Wherein the path fading index
Figure BDA0003063306320000037
In the formula (I), the compound is shown in the specification,
Figure BDA0003063306320000038
in order to transmit the power, the power is,
Figure BDA0003063306320000039
for the signal fading of the ith packet at the reference distance,
Figure BDA00030633063200000310
signal reception strength of the i-th packet received by the receiving end, d+Distance between transmitting end and receiving end, d0Is a reference distance; transmitting power
Figure BDA00030633063200000311
Distance d between transmitting end and receiving end+And a reference distance d0All are known quantities related to the measuring system, and can be arranged in the operation module or input by the input module.
Correcting path fading index
Figure BDA00030633063200000312
Correcting signal fading at reference distance
Figure BDA00030633063200000313
The output module is used for outputting the channel model updating result and outputting the channel detection instruction of the channel model to be confirmed.
The channel model is a logarithmic distance path loss model, the logarithmic distance path loss model is used for estimating whether the wireless sensor network to be confirmed meets the communication requirement, and if the wireless sensor network to be confirmed meets the communication requirement, the channel model is a logarithmic distance path loss modelThe model maintenance module updates the initial channel model to make the path fading index of the new initial channel model
Figure BDA00030633063200000314
Value taking
Figure BDA00030633063200000315
Fading signal at reference distance of new initial channel model
Figure BDA00030633063200000316
Value taking
Figure BDA00030633063200000317
And sending the channel model updating result as the updating is successful. And if the wireless sensor network to be confirmed does not meet the communication requirement, the channel model maintenance module discards the channel model to be confirmed and sends the updating result of the channel model to be updating failure.
Preferably, the channel detection program further includes a wireless node simulation deployment module, configured to generate a wireless node deployment position in the initial channel model, and generate a channel detection instruction of the channel model to be confirmed.
The invention has the beneficial effects that:
1. by correcting the path fading index and the corrected signal fading at the reference distance and combining the logarithmic distance path loss model, the adverse effect of the radio frequency interference of the power distribution network on the deployment of the wireless sensor network can be reduced, the restriction of the static channel deployment model on the channel communication quality under dynamic change is reduced, the effectiveness of the deployed wireless nodes is improved, and the deployment of the wireless sensor network can be guided.
2. The channel detection procedure of the present invention may be run to direct the deployment of wireless nodes in a wireless communication network.
3. When the channel detection program further comprises a wireless node simulation deployment module, the wireless node deployment can be guided in the initial channel model more conveniently, and the effectiveness of the channel detection instruction is improved.
Drawings
Fig. 1 is a schematic diagram of a wireless sensor network deployment system facing a power distribution network.
Fig. 2 is a schematic diagram of a local service module of a wireless sensor network deployment system facing a power distribution network.
Fig. 3 is a schematic diagram of a channel measurement module of a wireless sensor network deployment system facing a power distribution network.
Detailed Description
The present invention is described below in terms of embodiments in conjunction with the accompanying drawings to assist those skilled in the art in understanding and implementing the present invention. Unless otherwise indicated, the following embodiments and technical terms therein should not be understood to depart from the background of the technical knowledge in the technical field.
The invention discloses a distribution network-oriented wireless sensor network deployment method, which comprises the following steps:
acquiring a first channel physical quantity of an initial wireless sensor network, wherein the first channel physical quantity comprises a path fading index
Figure BDA0003063306320000041
Signal fading at reference distance
Figure BDA0003063306320000042
The initial wireless sensor network conforms to the communication requirements estimated by the log-range path loss model.
Adding a wireless node in an initial wireless sensor network to form a wireless sensor network to be confirmed, and measuring a second channel physical quantity of the wireless sensor network to be confirmed, wherein the second channel physical quantity comprises a path fading index
Figure BDA0003063306320000043
Signal fading at reference distance
Figure BDA0003063306320000044
And actually measuring the physical quantity of the second channel in the wireless sensor network to be confirmed, so that channel communication quality data under the radio frequency interference and channel dynamic change of the power distribution network can be obtained.
Correcting channel fading index
Figure BDA0003063306320000045
Correcting for signal fading at reference distances
Figure BDA0003063306320000046
And estimating whether the wireless sensor network to be confirmed meets the communication requirement or not by using a logarithmic distance path loss model, and if the wireless sensor network meets the communication requirement, determining that the wireless node is deployed successfully. And if the logarithmic distance path loss model does not meet the communication requirement, abandoning the wireless node deployment and re-deploying the wireless node. The deployed wireless nodes are verified on site by combining with channel communication quality data under the radio frequency interference of the power distribution network and the dynamic change of the channel, so that the adverse effect of the radio frequency interference of the power distribution network on the deployment of the wireless sensor network is reduced, the restriction of a static channel deployment model on the channel communication quality under the dynamic change is reduced, and the effectiveness of the deployed wireless nodes is improved.
Example 1: a wireless sensor network deployment method facing a power distribution network comprises the following steps:
acquiring a first channel physical quantity of an initial wireless sensor network, wherein the first channel physical quantity comprises a path fading index
Figure BDA0003063306320000051
Signal fading at reference distance
Figure BDA0003063306320000052
The initial wireless sensor network meets the communication requirement estimated by a logarithmic distance path loss model;
adding a wireless node in an initial wireless sensor network to form a wireless sensor network to be confirmed, and measuring a second channel physical quantity of the wireless sensor network to be confirmed, wherein the second channel physical quantity comprises a path fading index
Figure BDA0003063306320000053
And at a reference distanceSignal fading of
Figure BDA0003063306320000054
Specifically, a sending end is deployed at one end of a channel to be detected, a receiving end is deployed at the other end of the channel to be detected, and the sending end sends n (n is a non-0 natural number) data packets to the receiving end. Each data packet is a channel measurement sample, and the larger n is, the smaller the influence of accidental errors on the method is.
Measuring signal fading of data packets at reference distances
Figure BDA0003063306320000055
Measuring the signal reception strength of received data packets at the receiving end
Figure BDA0003063306320000056
Transmitting power
Figure BDA0003063306320000057
Distance d between transmitting end and receiving end+And a reference distance d0Are known quantities related to the measurement system and can be measured.
Calculating the path fading index of the ith (i is more than or equal to 1 and less than or equal to n) data packet received by the receiving end by combining the channel measurement physical quantity
Figure BDA0003063306320000058
Wherein the path fading index
Figure BDA0003063306320000059
In the formula, Pr(d) Representing the signal loss between the transceiver devices as a function of the distance d,
Figure BDA00030633063200000510
in order to transmit the power, the power is,
Figure BDA00030633063200000511
for the ith packet at referenceThe signal at a distance is subject to fading,
Figure BDA00030633063200000512
signal reception strength of the i-th packet received by the receiving end, d+Distance between transmitting end and receiving end, d0Is a reference distance;
path fading index
Figure BDA0003063306320000061
Signal fading at reference distance
Figure BDA0003063306320000062
Correcting path fading index
Figure BDA0003063306320000063
Correcting signal fading at reference distance
Figure BDA0003063306320000064
Estimating whether the wireless sensor network to be confirmed meets the communication requirement by using a logarithmic distance path loss model, wherein,
the log-distance path loss model is
Figure BDA0003063306320000065
In the formula, Pr(d) Representing the received signal strength as a function of distance d, ptFor transmitting power, PL is signal fading at a reference distance, alpha is a path fading index, d is a distance between a transmitting end and a receiving end, and d is0Is a reference distance.
And if the wireless sensor network to be confirmed meets the communication requirement, determining that the wireless node is successfully deployed. And if the wireless sensor network to be confirmed does not meet the communication requirement, abandoning the wireless node deployment, and relocating the wireless node.
Example 2: a computer readable medium storing a channel detection program, the channel detection program comprising a channel model maintenance module, a wireless node simulation deployment module, an operation module, an output module and an input module;
the channel model maintenance module is used for updating a channel model, setting the channel model before updating as an initial channel model, adding a model of a wireless node in the initial channel model as a channel model to be confirmed, and the initial channel model comprises a path fading index
Figure BDA0003063306320000066
Signal fading at reference distance
Figure BDA0003063306320000067
The wireless node simulation deployment module is used for generating a wireless node deployment position in the initial channel model and generating a channel detection instruction of the channel model to be confirmed; the wireless node simulation deployment module is used for deploying one, two or more wireless node deployment positions generated in the initial channel model, but when the channel detection program is operated, only one wireless node is deployed before the channel model is updated successfully, that is, if the channel model is updated unsuccessfully, the wireless node at the wireless node deployment position where the wireless node is actually measured and is not suitable to be deployed needs to be discarded, and then other wireless node deployment positions are selected to deploy the wireless node.
The input module is used for inputting the channel measurement physical quantity of the channel model to be confirmed, wherein the channel measurement physical quantity comprises the signal fading of the ith (i is more than or equal to 1 and less than or equal to n) data packet at the reference distance
Figure BDA0003063306320000068
The signal receiving intensity of the ith (i is more than or equal to 1 and less than or equal to n) data packet received by the receiving end
Figure BDA0003063306320000069
The operation module is used for calculating the corrected path fading index of the channel model to be confirmed
Figure BDA00030633063200000610
And corrected signal fading at reference distance
Figure BDA0003063306320000071
Calculating the corrected path fading index of the channel model to be confirmed
Figure BDA0003063306320000072
And corrected signal fading at reference distance
Figure BDA0003063306320000073
Comprises the following steps:
calculating the path fading index of the ith (i is more than or equal to 1 and less than or equal to n) data packet received by the receiving end by combining the channel measurement physical quantity
Figure BDA0003063306320000074
Wherein the path fading index
Figure BDA0003063306320000075
In the formula (I), the compound is shown in the specification,
Figure BDA0003063306320000076
in order to transmit the power, the power is,
Figure BDA0003063306320000077
for the signal fading of the ith packet at the reference distance,
Figure BDA0003063306320000078
signal reception strength of the i-th packet received by the receiving end, d+Distance between transmitting end and receiving end, d0Is a reference distance; transmitting power
Figure BDA0003063306320000079
Distance d between transmitting end and receiving end+And a reference distance d0All are known quantities related to the measuring system, and can be arranged in the operation module or input by the input module.
Figure BDA00030633063200000710
The output module is used for outputting the channel model updating result and outputting the channel detection instruction of the channel model to be confirmed.
The channel model is a logarithmic distance path loss model, the logarithmic distance path loss model is used for estimating whether the wireless sensor network to be confirmed meets the communication requirement, if the wireless sensor network to be confirmed meets the communication requirement, the channel model maintenance module updates the initial channel model, so that the path fading index of a new initial channel model
Figure BDA00030633063200000711
Value taking
Figure BDA00030633063200000712
Fading signal at reference distance of new initial channel model
Figure BDA00030633063200000713
Value taking
Figure BDA00030633063200000714
And sending the channel model updating result as the updating is successful. And if the wireless sensor network to be confirmed does not meet the communication requirement, the channel model maintenance module discards the channel model to be confirmed and sends the updating result of the channel model to be updating failure.
Example 3: aiming at the problem that the existing deployment method based on the static channel model is difficult to deploy the reliable wireless sensor network in the power distribution network environment with complex radio frequency, the embodiment utilizes the sending end and the receiving end of the channel measurement module to sequentially and actually measure the channels between the deployment positions, and transmits the measured information back to the local service module to adjust the adopted channel model in real time, thereby ensuring the reliability of the deployed network.
As shown in fig. 1, a wireless sensor network deployment system facing a power distribution network includes a local service module and a channel measurement module.
The local service module is used for dynamically maintaining and updating the channel model of the deployment area. As shown in fig. 2, the local service module includes a server side and a wireless communication module, and the wireless communication module is used for communicating with the channel measurement module. When the device is used, the local service module generates a deployment scheme in real time according to an adopted deployment algorithm based on the current channel model, then generates channel information to be measured according to the deployment scheme, sends the information to the channel measurement module, and finally the local service module receives returned field channel measurement data and updates the channel model according to the data.
As shown in fig. 3, the channel measurement module has a transmitting end and a receiving end, and the two modules have the same structure, that is, the two modules are composed of a microcontroller module, a wireless communication module and a battery. The sending end is used for receiving a channel signal to be tested sent from the local service module. Examples given in this figure are (1,2), (1,5) (1,6), (2,5), (2,7), (5,6), (5,8), (5,7), (7,3), (7,4), (3,4) of the measurements required this time. After receiving the channels to be measured, the actual measurement of each channel can be started. When actually measuring the channel (x, y), the transmitting end is first put to the position x, and the receiving end is deployed to the position y. Then, measurement is started, firstly, the sending end sends n data packets to the receiving end, then, the receiving end sends responses to the n data packets to the sending end, and then, the receiving end extracts required channel information such as packet receiving rate, received signal strength, substrate noise and the like from the received responses. And finally, after all the channels are measured in sequence, the sending end sends the measurement result to the local service module so that the local service module can update the channel model.
In the wireless sensor network deployment system facing the power distribution network, the following steps are operated in a local service module:
an initialization step, which is used for initializing a channel model (common channel models such as a 0-1 model, a lognormal fading model, a rayleigh fading model and the like);
a deployment generation step, namely generating the deployment position of the wireless node by using the adopted deployment algorithm;
a channel measurement instruction generation step, which is to generate a channel measurement instruction according to the deployment position of the wireless node;
a channel measurement instruction sending step, in which a channel measurement instruction is sent to a receiving end of a channel measurement module;
a channel measurement signal receiving step of receiving a channel measurement signal sent by a channel measurement module;
and a channel model updating step, namely updating the channel model according to the received channel measurement signal.
In the wireless sensor network deployment system facing the power distribution network, the following steps are operated in a channel measurement module:
a channel measurement instruction receiving step of receiving a channel measurement instruction;
a channel measurement step, measuring a channel according to a channel measurement instruction to obtain a channel measurement signal;
and a channel measurement information returning step of returning a channel measurement signal to the local service module.
Overall, there are the following steps:
step 1, firstly, generating a deployment scheme of this time according to an adopted deployment algorithm and a current channel model, wherein an example of the deployment scheme is shown in a left-side diagram of the step, each point is a position to be deployed, a number is a serial number of each node, and if a connection line exists between the two points, the situation that a channel between the two points needs to be measured is shown;
step 2, generating a channel to be measured (namely, a channel with a connection in step 1, one example is shown in the left side of the step) according to the deployment scheme generated in step 1, and sending the channel information to be measured to a channel measurement module;
step 3 is used for receiving the channel measurement results and updating the channel model according to the results.
The designed devices of the embodiment all adopt low-cost wireless communication modules, and high-cost special devices (such as a spectrum analyzer, a signal generator and the like) are not needed. In addition, the channel measurement module designed by the embodiment is composed of a microcontroller, a wireless communication module, a battery and the like, so that the channel measurement module is convenient to hold and move.
In the embodiment, in the deployment process, the channel information between the deployment positions can be measured in real time, and the corresponding channel model is updated in real time, so that the reliability of the deployed network can be better ensured.
Example 4: a wireless sensor network deployment method facing a power distribution network comprises a step of deploying wireless nodes successively, wherein the step of deploying the wireless nodes successively comprises the following sub-steps:
step 1, deploying a wireless node on the basis of an initial wireless sensor network to obtain a wireless sensor network to be updated;
step 2, generating a channel detection instruction according to a model corresponding to the wireless sensor network to be updated;
step 3, measuring a channel in the wireless sensor network to be updated, and measuring the physical quantity of the channel;
and 4, after the channel physical quantity meets the communication requirement of the wireless sensor network, enabling the initial wireless sensor network to be the wireless sensor network to be updated, and updating the initial wireless sensor network.
The invention is described in detail above with reference to the figures and examples. It should be understood that in practice the description of all possible embodiments is not exhaustive and that the inventive concepts are described herein as far as possible by way of illustration. Without departing from the inventive concept of the present invention and without any creative work, a person skilled in the art should, in all of the embodiments, make optional combinations of technical features and experimental changes of specific parameters, or make a routine replacement of the disclosed technical means by using the prior art in the technical field to form specific embodiments, which belong to the content implicitly disclosed by the present invention.

Claims (7)

1. A wireless sensor network deployment method facing a power distribution network is characterized by comprising the following steps:
acquiring a first channel physical quantity of an initial wireless sensor network, wherein the first channel physical quantity comprises path fadingIndex of refraction
Figure FDA0003063306310000011
Signal fading at reference distance
Figure FDA0003063306310000012
The initial wireless sensor network meets the communication requirement estimated by a logarithmic distance path loss model;
adding a wireless node in an initial wireless sensor network to form a wireless sensor network to be confirmed, and measuring a second channel physical quantity of the wireless sensor network to be confirmed, wherein the second channel physical quantity comprises a path fading index
Figure FDA0003063306310000013
Signal fading at reference distance
Figure FDA0003063306310000014
Correcting path fading index
Figure FDA0003063306310000015
Correcting signal fading at reference distance
Figure FDA0003063306310000016
And estimating whether the wireless sensor network to be confirmed meets the communication requirement or not by using a logarithmic distance path loss model, and if the wireless sensor network to be confirmed meets the communication requirement, determining that the wireless node is deployed successfully.
2. The distribution network-oriented wireless sensor network deployment method of claim 1, wherein the logarithmic distance path loss model is
Figure FDA0003063306310000017
In the formula, Pr(d) Representing the received signal strength as a function of distance d, ptFor transmitting power, PL is signal fading at a reference distance, α is a path fading index, d is a distance between a transmitting end and a receiving end, and d is0Is a reference distance.
3. The distribution network-oriented wireless sensor network deployment method of claim 1, wherein the method for calculating the path fading index comprises the following steps:
the transmitting end transmits n data packets to the receiving end through a channel to be measured, and the signal fading PL ═ PL of the data packets is measured at a reference distance1,pl2,…,plnAt the receiving end, the signal receiving strength P of the received data packet is measuredr＝{pr1,pr2,…,prn}；
Combined transmission power PtDistance d between sending end and receiving end and reference distance d0Measuring and calculating the path fading index alpha of the ith (i is more than or equal to 1 and less than or equal to n) data packetiWherein the path fading index
Figure FDA0003063306310000021
In the formula, PtFor transmission power, PLiFor the signal fading of the ith packet at the reference distance,
Figure FDA00030633063100000217
the signal receiving strength of the ith data packet received by the receiving end, d is the distance between the transmitting end and the receiving end, d0Is a reference distance;
the path fading index is
Figure FDA0003063306310000022
The signal at the reference distance is faded to
Figure FDA0003063306310000023
4. A computer-readable medium storing a channel detection program, wherein the channel detection program comprises a channel model maintenance module, an input module, an operation module, and an output module;
the channel model maintenance module is used for updating a channel model, setting the channel model before updating as an initial channel model, adding a model of a wireless node in the initial channel model as a channel model to be confirmed, and the initial channel model comprises a path fading index
Figure FDA0003063306310000024
Signal fading at reference distance
Figure FDA0003063306310000025
The input module is used for inputting the channel measurement physical quantity of the channel model to be confirmed, and the channel measurement physical quantity comprises signal fading of the ith (i is more than or equal to 1 and less than or equal to n) data packet at the reference distance
Figure FDA0003063306310000026
The signal receiving intensity of the ith (i is more than or equal to 1 and less than or equal to n) data packet received by the receiving end
Figure FDA0003063306310000027
The operation module is used for calculating the corrected path fading index of the channel model to be confirmed
Figure FDA0003063306310000028
And corrected signal fading at reference distance
Figure FDA0003063306310000029
Calculating the corrected path fading index of the channel model to be confirmed
Figure FDA00030633063100000210
And correctionSignal fading at reference distance
Figure FDA00030633063100000211
Comprises the following steps:
calculating the path fading index of the ith (i is more than or equal to 1 and less than or equal to n) data packet received by the receiving end by combining the channel measurement physical quantity
Figure FDA00030633063100000216
Wherein the path fading index
Figure FDA00030633063100000212
In the formula (I), the compound is shown in the specification,
Figure FDA00030633063100000213
in order to transmit the power, the power is,
Figure FDA00030633063100000214
for the signal fading of the ith packet at the reference distance,
Figure FDA00030633063100000215
signal reception strength of the i-th packet received by the receiving end, d+Distance between transmitting end and receiving end, d0Is a reference distance;
correcting path fading index
Figure FDA0003063306310000031
Correcting signal fading at reference distance
Figure FDA0003063306310000032
The output module is used for outputting the channel model updating result and outputting the channel detection instruction of the channel model to be confirmed.
5. As claimed in claimThe computer-readable medium storing a channel detection program according to claim 4, wherein the channel model is a log-range path loss model, the log-range path loss model is used to estimate whether the wireless sensor network to be confirmed meets the communication requirement, and if the wireless sensor network to be confirmed meets the communication requirement, the channel model maintenance module updates the initial channel model so that the path fading index of the new initial channel model is obtained
Figure FDA0003063306310000033
Value taking
Figure FDA0003063306310000034
Fading signal at reference distance of new initial channel model
Figure FDA0003063306310000035
Value taking
Figure FDA0003063306310000036
And sending the channel model updating result as the updating is successful.
6. The computer-readable medium storing a channel detection program of claim 4, wherein the channel model is a log-range path loss model, the log-range path loss model is used to estimate whether the wireless sensor network to be confirmed meets the communication requirement, and if the wireless sensor network to be confirmed does not meet the communication requirement, the channel model maintenance module discards the channel model to be confirmed and sends the channel model update result as an update failure.
7. The computer-readable medium storing a channel sensing program of any one of claims 4-6, wherein the channel sensing program further comprises a wireless node emulation deployment module for generating a wireless node deployment location in an initial channel model and generating channel sensing instructions for a channel model to be validated.
CN202110519300.0A 2021-05-12 2021-05-12 Wireless sensor network deployment method and computer readable medium for power distribution network Active CN113099464B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202110519300.0A CN113099464B (en) 2021-05-12 2021-05-12 Wireless sensor network deployment method and computer readable medium for power distribution network

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202110519300.0A CN113099464B (en) 2021-05-12 2021-05-12 Wireless sensor network deployment method and computer readable medium for power distribution network

Publications (2)

Publication Number Publication Date
CN113099464A true CN113099464A (en) 2021-07-09
CN113099464B CN113099464B (en) 2022-11-08

Family

ID=76665639

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202110519300.0A Active CN113099464B (en) 2021-05-12 2021-05-12 Wireless sensor network deployment method and computer readable medium for power distribution network

Country Status (1)

Country Link
CN (1) CN113099464B (en)

Citations (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6816115B1 (en) * 2003-01-31 2004-11-09 Bbnt Solutions Llc Systems and methods for antenna selection in an ad-hoc wireless network
CN1738466A (en) * 2004-08-16 2006-02-22 上海华为技术有限公司 Mobile communication network propagation model correction method
US20060217944A1 (en) * 2005-03-11 2006-09-28 Newfield Wireless, Inc. Methods for accurate use of finite dynamic range measurement data in radio path loss propagation model calibration
CN1845631A (en) * 2005-04-06 2006-10-11 华为技术有限公司 Method for realizing wireless communication system network planning
US20100061343A1 (en) * 2006-11-20 2010-03-11 Telefonaktiebolaget L M Ericsson (Publ) Scenario Based Measurement Type Selection
CN103338510A (en) * 2013-05-24 2013-10-02 赵东明 Wireless sensor network positioning method based on RSSI (received signal strength indicator)
CN103607723A (en) * 2013-11-18 2014-02-26 北京交通大学 Wireless communication link estimation method facing high-speed railway linear community
CN103733672A (en) * 2011-06-20 2014-04-16 高通股份有限公司 Method and apparatus for unplanned deployment of base stations
US20150350923A1 (en) * 2012-12-20 2015-12-03 Datang Mobile Communications Equipment Co., Ltd Network coverage planning method and apparatus of evolution communication system
CN105871486A (en) * 2015-01-20 2016-08-17 中国科学院上海高等研究院 Channel model construction method and simulation method for wireless sensor network
CN109257761A (en) * 2018-10-31 2019-01-22 南京信息职业技术学院 A kind of optimal estimating method of the error rate comprehensively considering a variety of energy consumption factors
CN111683377A (en) * 2020-06-05 2020-09-18 国网河南省电力公司经济技术研究院 Real-time reliable relay deployment method for power distribution network
US20210067412A1 (en) * 2019-08-26 2021-03-04 Caci, Inc. - Federal Self-configuring wireless networks

Patent Citations (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6816115B1 (en) * 2003-01-31 2004-11-09 Bbnt Solutions Llc Systems and methods for antenna selection in an ad-hoc wireless network
CN1738466A (en) * 2004-08-16 2006-02-22 上海华为技术有限公司 Mobile communication network propagation model correction method
US20060217944A1 (en) * 2005-03-11 2006-09-28 Newfield Wireless, Inc. Methods for accurate use of finite dynamic range measurement data in radio path loss propagation model calibration
CN1845631A (en) * 2005-04-06 2006-10-11 华为技术有限公司 Method for realizing wireless communication system network planning
US20100061343A1 (en) * 2006-11-20 2010-03-11 Telefonaktiebolaget L M Ericsson (Publ) Scenario Based Measurement Type Selection
CN103733672A (en) * 2011-06-20 2014-04-16 高通股份有限公司 Method and apparatus for unplanned deployment of base stations
US20150350923A1 (en) * 2012-12-20 2015-12-03 Datang Mobile Communications Equipment Co., Ltd Network coverage planning method and apparatus of evolution communication system
CN103338510A (en) * 2013-05-24 2013-10-02 赵东明 Wireless sensor network positioning method based on RSSI (received signal strength indicator)
CN103607723A (en) * 2013-11-18 2014-02-26 北京交通大学 Wireless communication link estimation method facing high-speed railway linear community
CN105871486A (en) * 2015-01-20 2016-08-17 中国科学院上海高等研究院 Channel model construction method and simulation method for wireless sensor network
CN109257761A (en) * 2018-10-31 2019-01-22 南京信息职业技术学院 A kind of optimal estimating method of the error rate comprehensively considering a variety of energy consumption factors
US20210067412A1 (en) * 2019-08-26 2021-03-04 Caci, Inc. - Federal Self-configuring wireless networks
CN111683377A (en) * 2020-06-05 2020-09-18 国网河南省电力公司经济技术研究院 Real-time reliable relay deployment method for power distribution network

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
CLEMENT TEMANEH-NYAH等: "Determination of a Suitable Correction Factor to a Radio Propagation Model for Cellular Wireless Network Analysis", 《2014 5TH INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS, MODELLING AND SIMULATION》 *
岳学军等: "基于信道测试的橘园WSN网络部署试验", 《农业机械学报》 *
龚涛等: "WCDMA无线传播模型校正探讨", 《广东通信技术》 *

Also Published As

Publication number Publication date
CN113099464B (en) 2022-11-08

Similar Documents

Publication Publication Date Title
Harris III et al. Modeling the underwater acoustic channel in ns2
US6915113B1 (en) Test apparatus for RF receiver
US6675328B1 (en) System and method to determine data throughput in a communication network
CN102484542B (en) Load estimation in wireless communication
RU2009113015A (en) METHOD AND DEVICE FOR CORRECTION OF FAST INTERFERENCE FROM ANOTHER SECTOR (OSI)
RU2009129686A (en) METHOD AND DEVICE FOR DISTRIBUTED DETECTION OF SPECTRUM FOR WIRELESS COMMUNICATION
US7412207B2 (en) Signal path detection for wireless networks including repeaters
CN109217947B (en) Method and device for testing intercepted probability performance of radiation signal of data link equipment
KR102216515B1 (en) Effective SNR mapping and link adaptation strategy and apparatus for next-generation underwater acoustic communications networks
CN103139804B (en) Energy-saving transmission self-adaption recursive least squares (RLS) distributed-type detection method of wireless sensor network
CN114793305A (en) Method, apparatus, device and medium for optical communication
CN113099464B (en) Wireless sensor network deployment method and computer readable medium for power distribution network
CN104935446A (en) Network quality assessment method and device based on credibility mining
CN103152751B (en) Energy-saving transmission adaptive LMS (Least-Mean Squares) distributed detection method for wireless sensor network
CN116347586B (en) Device and method for calibrating delay parameters of wireless ad hoc network
Almeida et al. Machine learning based propagation loss module for enabling digital twins of wireless networks in ns-3
Liu et al. Simplified theoretical model based self-adaptive packet reception rate estimation in sensor networks
US8614962B2 (en) Communication device, communication method, and program
WO2018161376A1 (en) Data-driven radio frequency sensitivity measuring method
CN110113231B (en) Method for testing burst communication low detection probability performance
JP2005223732A (en) Radio wave propagation simulator
Rusak et al. Physically-based models of low-power wireless links using signal power simulation
O'Rourke et al. Reception region characterisation using a 2.4 ghz direct sequence spread spectrum radio
CN106160891B (en) The detection method and device and air-conditioning equipment of communication quality
Spišić et al. LoRaWAN Parameters Optimization For Efficient Communication

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant