CN110290549B - Data transmission reliability calculation method in industrial Internet of things - Google Patents

Data transmission reliability calculation method in industrial Internet of things Download PDF

Info

Publication number
CN110290549B
CN110290549B CN201910671945.9A CN201910671945A CN110290549B CN 110290549 B CN110290549 B CN 110290549B CN 201910671945 A CN201910671945 A CN 201910671945A CN 110290549 B CN110290549 B CN 110290549B
Authority
CN
China
Prior art keywords
node
calculating
channel
reliability
sub
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.)
Active
Application number
CN201910671945.9A
Other languages
Chinese (zh)
Other versions
CN110290549A (en
Inventor
贾杰
陈剑
郭亮
吉鹏硕
王兴伟
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.)
Northeastern University China
Original Assignee
Northeastern University China
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 Northeastern University China filed Critical Northeastern University China
Priority to CN201910671945.9A priority Critical patent/CN110290549B/en
Publication of CN110290549A publication Critical patent/CN110290549A/en
Application granted granted Critical
Publication of CN110290549B publication Critical patent/CN110290549B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B17/00—Monitoring; Testing
    • H04B17/30—Monitoring; Testing of propagation channels
    • H04B17/309—Measuring or estimating channel quality parameters
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B17/00—Monitoring; Testing
    • H04B17/30—Monitoring; Testing of propagation channels
    • H04B17/309—Measuring or estimating channel quality parameters
    • H04B17/336—Signal-to-interference ratio [SIR] or carrier-to-interference ratio [CIR]
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B17/00—Monitoring; Testing
    • H04B17/30—Monitoring; Testing of propagation channels
    • H04B17/391—Modelling the propagation channel
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B17/00—Monitoring; Testing
    • H04B17/40—Monitoring; Testing of relay systems
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L5/00—Arrangements affording multiple use of the transmission path
    • H04L5/0001—Arrangements for dividing the transmission path
    • H04L5/0003—Two-dimensional division
    • H04L5/0005—Time-frequency
    • H04L5/0007—Time-frequency the frequencies being orthogonal, e.g. OFDM(A), DMT
    • H04L5/001—Time-frequency the frequencies being orthogonal, e.g. OFDM(A), DMT the frequencies being arranged in component carriers
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L5/00—Arrangements affording multiple use of the transmission path
    • H04L5/14—Two-way operation using the same type of signal, i.e. duplex
    • 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

Landscapes

  • Engineering & Computer Science (AREA)
  • Signal Processing (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Physics & Mathematics (AREA)
  • Electromagnetism (AREA)
  • Quality & Reliability (AREA)
  • Mobile Radio Communication Systems (AREA)

Abstract

The embodiment of the invention relates to a method for calculating data transmission reliability in an industrial Internet of things, which comprises the following steps: constructing a network transmission model of a full-duplex relay node, wherein the network transmission model comprises a plurality of sensor nodes, a plurality of full-duplex relay nodes and a plurality of gateway nodes; calculating the direct communication reliability of the sensor node when the sensor node performs direct communication based on the first sub-channel and the cooperative communication reliability when the sensor node performs cooperative communication through the full-duplex relay node according to a network transmission model; calculating according to the direct communication reliability and the assistant communication reliability to obtain the channel transmission reliability of the sensor node based on the first sub-channel; and carrying out spectrum aggregation on all sub-channels corresponding to the sensor nodes in the network transmission model according to the channel transmission reliability to obtain the data transmission reliability of the sensor nodes. According to the invention, the full-duplex node is introduced into the industrial Internet of things, so that the communication distance of the node can be shortened, the communication reliability is improved, and the transmission delay is not increased.

Description

Data transmission reliability calculation method in industrial Internet of things
Technical Field
The invention relates to the technical field of communication, in particular to a method for calculating data transmission reliability in an industrial Internet of things.
Background
The information technology represented by the internet of things, cloud computing and big data promotes a new technical revolution around the world and simultaneously promotes the transformation and the transformation of the traditional industrial production. The industrial production environment gradually breaks through the previous closure, and the integration and interconnection among systems and equipment are enhanced based on the technology of the internet of things and the big data technology, so that the industrial internet of things is produced. However, unlike the conventional data transmission of the internet of things, data in an industrial environment generally has extremely high reliability and delay requirements, and does not support retransmission of the data. Therefore, in order to reduce the delay of data transmission, a single-hop method is generally adopted for data collection between a network node and a gateway node (i.e., a sink node) in the industrial internet of things. However, how to improve the reliability of data transmission is still lacking in a practical method.
The relay communication is used as an effective auxiliary mode of the traditional communication, the basic idea of the relay communication mode is to introduce a relay node between two traditional communication parties, firstly, a sending node transmits a message to the relay node, and then the relay node transmits data to a receiving node. By adopting the method to carry out signal transmission, the transmission distance between the sending node and the receiving node can be effectively shortened, obstacles in the transmission process can be avoided, and signal fading is reduced. In addition, after the relay node is introduced, the transmitting node does not need to transmit signals with high power any more, and accordingly, the interference to other communication links can be reduced, and the performance of the whole network system is improved.
However, it should be noted that, due to the introduction of the relay node, the network structure is changed from the conventional single-hop communication to the two-hop transmission, which may result in an increase of the transmission delay.
Therefore, the problem of large time delay still exists when the industrial internet of things adopts relay communication to transmit data in the prior art.
The above drawbacks are expected to be overcome by those skilled in the art.
Disclosure of Invention
Technical problem to be solved
In order to solve the problems in the prior art, the invention provides a method for calculating the reliability of data transmission in an industrial internet of things, which solves the problem that a large time delay still exists when the industrial internet of things adopts relay communication to transmit data in the prior art.
(II) technical scheme
In order to achieve the purpose, the invention adopts the main technical scheme that:
an embodiment of the present invention provides a method for calculating reliability of data transmission in an industrial internet of things, including:
constructing a network transmission model of a full-duplex relay node, wherein the network transmission model comprises a plurality of sensor nodes, a plurality of full-duplex relay nodes and a plurality of gateway nodes;
calculating the direct communication reliability of the sensor node when the sensor node carries out direct communication based on the first sub-channel according to the network transmission model;
calculating the cooperative communication reliability of the sensor node when the sensor node performs cooperative communication through the full-duplex relay node based on the first sub-channel according to the network transmission model;
calculating to obtain the channel transmission reliability of the sensor node based on the first sub-channel according to the direct communication reliability and the cooperative communication reliability;
and carrying out spectrum aggregation on all sub-channels corresponding to the sensor nodes in the network transmission model according to the channel transmission reliability to obtain the data transmission reliability of the sensor nodes.
In an embodiment of the present invention, the constructing a network transmission model of a full-duplex relay node includes:
forming a direct communication link between the sensor node and the gateway node;
forming a full-duplex cooperative communication link between the sensor node and the gateway node via the relay node.
In an embodiment of the present invention, one of the plurality of sensor nodes selects a multi-hop path to connect to the plurality of gateway nodes by way of spectrum aggregation.
In one embodiment of the invention, the plurality of sensor nodes aggregates Z consecutive and non-consecutive subcarriers based on a non-consecutive subcarrier aggregation technique, wherein Z is less than or equal to 32.
In an embodiment of the present invention, the calculating, according to the network transmission model, the direct communication reliability of the sensor node in direct communication based on the first sub-channel includes:
calculating Euclidean distance between the sensor node and the gateway node according to the position coordinates of the sensor node and the gateway node;
calculating according to the Euclidean distance by combining the channel power gain and the path loss index between the sensor node and the gateway node to obtain the received signal strength of the gateway node;
calculating an interference point set existing when the sensor node and the gateway node adopt the first sub-channel for communication;
calculating the strength of an interference signal received by the gateway node when the sensor node communicates with the gateway node through the first sub-channel based on the set of interference points;
calculating to obtain a channel interference plus noise ratio according to the received signal strength and the interference signal strength;
and calculating to obtain the direct communication reliability according to the channel interference plus noise ratio and a preset threshold value.
In an embodiment of the present invention, the calculating, according to the network transmission model, the cooperative communication reliability of the sensor node when performing cooperative communication via the full-duplex relay node based on the first subchannel includes:
selecting a relay node from the plurality of full-duplex relay nodes as a first relay node;
calculating a first channel interference-plus-noise ratio generated when the sensor node and the first relay node communicate based on the first sub-channel;
calculating a second channel interference-plus-noise ratio generated when the first relay node and the gateway node communicate based on the first sub-channel;
and calculating the cooperative communication reliability according to the first channel interference plus noise ratio and the second channel interference plus noise ratio.
In an embodiment of the present invention, the calculating a first channel interference-plus-noise ratio generated when the sensor node communicates with the first relay node based on the first sub-channel includes:
calculating the received signal strength from the sensor node to the first relay node;
calculating an interference point set existing when the sensor node and the first relay node adopt the first sub-channel for communication;
calculating the strength of an interference signal received by the first relay node when the sensor node communicates with the first relay node through the first sub-channel based on the set of interference points;
and calculating to obtain the interference-plus-noise ratio of the first channel according to the strength of the received signal and the strength of the interference signal.
In an embodiment of the present invention, the calculating a second channel interference-plus-noise ratio generated when the first relay node and the gateway node communicate based on the first sub-channel includes:
calculating the received signal strength from the first relay node to the gateway node;
calculating an interference point set existing when the first relay node and the gateway node adopt the first subchannel for communication;
calculating the strength of an interference signal received by the gateway node when the first relay node communicates with the gateway node through the first sub-channel based on the set of interference points;
and calculating to obtain the interference-plus-noise ratio of the second channel according to the strength of the received signal and the strength of the interference signal.
In an embodiment of the present invention, the calculating the channel transmission reliability of the sensor node based on the first sub-channel according to the direct communication reliability and the cooperative communication reliability includes:
traversing all nodes in the full-duplex relay nodes, and calculating to obtain a plurality of cooperative communication reliabilities respectively corresponding to the sensor nodes and the gateway node when the relay communication is carried out through the full-duplex relay nodes;
and calculating the channel transmission reliability of the sensor node based on the first sub-channel according to the plurality of cooperative communication reliabilities and the direct communication reliability.
In an embodiment of the present invention, the obtaining the data transmission reliability of the sensor node includes:
calculating channel transmission reliability when the sensor nodes communicate based on the plurality of sub-channels respectively;
and combining the plurality of parallel communication links on the plurality of sub-channels to obtain the data transmission reliability of the sensor node.
(III) advantageous effects
The invention has the beneficial effects that: according to the data transmission reliability calculation method in the industrial Internet of things, the full-duplex node is introduced into the industrial Internet of things, so that the communication distance of the node can be shortened, the communication reliability is improved, and the transmission delay is not increased.
Drawings
Fig. 1 is a flowchart of a method for calculating reliability of data transmission in an industrial internet of things according to an embodiment of the present invention;
fig. 2 is a schematic diagram of a network transmission model based on full-duplex relay according to an embodiment of the present invention;
FIG. 3 is a flowchart of step S120 in FIG. 1 according to an embodiment of the present invention;
FIG. 4 is a flowchart illustrating step S130 of FIG. 1 according to an embodiment of the present invention;
FIG. 5 is a graph illustrating experimental results of a direct communication method according to an embodiment of the present invention;
fig. 6 is a graph illustrating experimental results of a cooperative communication method according to an embodiment of the present invention.
Detailed Description
For the purpose of better explaining the present invention and to facilitate understanding, the present invention will be described in detail by way of specific embodiments with reference to the accompanying drawings.
All technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. The terminology used in the description of the invention herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used herein, the term "and/or" includes any and all combinations of one or more of the associated listed items.
Based on the prior art, full-duplex communication is used as a new communication mode, which can allow a relay node to simultaneously receive and retransmit signals in the same channel, thereby realizing shorter transmission delay and higher spectrum efficiency. Therefore, the full-duplex node is introduced into the traditional industrial Internet of things, the communication reliability is improved by shortening the communication distance of the node, and the transmission delay is not increased. Furthermore, the invention also introduces a link concurrent transmission mechanism based on spectrum aggregation. However, when the full-duplex relay and the spectrum aggregation method are simultaneously adopted in the network, how to accurately measure the current transmission reliability becomes a difficult point of research. Therefore, the invention provides a reliability calculation method of direct transmission and cooperative transmission respectively aiming at the condition of introducing full-duplex relay and spectrum aggregation and the mathematical representation of resource allocation, and provides a reliability calculation method of a sensor node on the basis.
Fig. 1 is a flowchart of a method for calculating reliability of data transmission in an industrial internet of things according to an embodiment of the present invention, and as shown in fig. 1, the method includes the following steps:
as shown in fig. 1, in step S110, a network transmission model of a full-duplex relay node is constructed, where the network transmission model includes a plurality of sensor nodes, a plurality of full-duplex relay nodes, and a plurality of gateway nodes;
as shown in fig. 1, in step S120, calculating the direct communication reliability of the sensor node when performing direct communication based on the first sub-channel according to the network transmission model;
as shown in fig. 1, in step S130, calculating a cooperative communication reliability of the sensor node in performing cooperative communication via the full-duplex relay node based on the first sub-channel according to the network transmission model;
as shown in fig. 1, in step S140, calculating a channel transmission reliability of the sensor node based on the first sub-channel according to the direct communication reliability and the cooperative communication reliability;
as shown in fig. 1, in step S150, performing spectrum aggregation on all sub-channels corresponding to the sensor node in the network transmission model according to the channel transmission reliability, so as to obtain the data transmission reliability of the sensor node.
In the technical solution provided by the embodiment of the present invention shown in fig. 1, a method for calculating reliability of data transmission in an industrial internet of things is provided, and by introducing a full-duplex node into the industrial internet of things, a communication distance of the node can be shortened, so that communication reliability is improved, and transmission delay is not increased.
The specific implementation of the steps of the embodiment shown in fig. 1 is described in detail below:
in step S110, a network transmission model of the full-duplex relay node is constructed.
In one embodiment of the invention, the network transmission model comprises a plurality of sensor nodes, a plurality of full-duplex relay nodes and a plurality of gateway nodes.
Fig. 2 is a schematic diagram of a network transmission model based on full-duplex relay according to an embodiment of the present invention, and as shown in fig. 2, a certain number of "decode-and-forward" full-duplex (FD) relay nodes are added between a sensor node (or sensor node) and a gateway node (or sink node), so as to form an industrial internet of things with relay assistance.
As shown in fig. 2, in the network transmission model, when a sensor node of the industrial internet of things sends data, one or more relay nodes (or FD relay nodes) need to be selected. In the network transmission model of the present embodiment, a direct communication link is formed between a sensor node and a gateway node; a full-duplex cooperative communication link is formed between the sensor node and the gateway node via the relay node. Suppose that a sensor node in the network can directly communicate with a sink node, as shown by path 1 in fig. 2; the data transmission method can also be used for communicating with the sink node through the help of a full-duplex FD relay node, namely, the sensor node firstly sends data to the FD relay node, and then the FD relay node forwards the data to the sink node, as shown by a path 2 in fig. 2. Meanwhile, each node can simultaneously select a multi-hop path to connect a plurality of sink nodes in a frequency spectrum aggregation mode, and high reliability is achieved through concurrent transmission. Assuming that a non-contiguous subcarrier aggregation technique is applied in the system, the sensor node can aggregate a large number (up to 32) of contiguous and non-contiguous subcarriers. In the network transmission model shown in fig. 2, it is assumed that each transmitting node (including the sensor node and the FD relay node) has a maximum transmit power limit, and in addition, due to physical hardware limitations, the network system needs to satisfy the following constraints:
(1) for each sensor node, each subchannel can only be occupied by one link at most.
(2) Each FD relay can only operate for one user terminal (i.e., UE) at most.
(3) The total transmit power of each sensor node in the carrier aggregation case must be less than its maximum transmit power limit.
It should be noted that the plurality of sensor nodes aggregates Z consecutive and non-consecutive subcarriers based on the non-consecutive subcarrier aggregation technique, where Z is less than or equal to 32.
Based on the network transmission model shown in fig. 2, S ═ {1, 2., S } is set as a set of sensor nodes, D ═ 1, 2., D } is set as a set of sink nodes, and R ═ 1, 2., R } is set as an FD relay nodeA set of points. Each sensor node has M subchannels, with M ═ 1, 2. To describe channel allocation in a direct-communication (direct-communication) manner between a sensor node and a sink node, a binary variable may be used
Figure GDA0002954490940000081
And whether the s-th sensor node and the d-th sink node directly communicate through the m-th sub-channel is represented.
Figure GDA0002954490940000082
Meaning that the mth subchannel (M e M) is allocated to the S-th sensor node (S e S) for direct communication with the D-th sink node (D e D),
Figure GDA0002954490940000083
the opposite is true. In the same way, in order to describe channel and relay allocation in a cooperative communication (cooperative-communication) mode in which the sensor node performs cooperative communication with the sink node through the FD relay node, a binary variable may be used
Figure GDA0002954490940000084
And whether the s-th sensor node and the d-th sink node perform cooperative communication through the m-th sub-channel with the help of the r-th FD relay node is represented.
Figure GDA0002954490940000085
Indicating that the R < th > Relay (R ∈ R) and the M < th > sub-channel (M ∈ M) are allocated to the S < th > sensor node (S ∈ S) for cooperative communication with the D < th > sink node (D ∈ D),
Figure GDA0002954490940000086
the opposite is true.
Table 1 shows the symbols and their meanings referred to in the present invention.
TABLE 1
Figure GDA0002954490940000087
Figure GDA0002954490940000091
In step S120, the direct communication reliability of the sensor node when performing direct communication based on the first sub-channel is calculated according to the network transmission model.
Fig. 3 is a flowchart of step S120 in fig. 1 according to an embodiment of the present invention, as shown in fig. 3, which specifically includes the following steps:
in step S301, calculating an euclidean distance between a sensor node and a gateway node according to the position coordinates of the sensor node and the gateway node;
in step S302, calculating according to the euclidean distance in combination with a channel power gain and a path loss exponent between the sensor node and the gateway node, to obtain a received signal strength of the gateway node;
in step S303, calculating an interference point set existing when the sensor node and the gateway node communicate by using the first subchannel;
in step S304, calculating an interference signal strength received by the gateway node when the sensor node communicates with the gateway node through the first sub-channel based on the set of interference points;
in step S305, calculating a channel interference plus noise ratio according to the received signal strength and the interference signal strength;
in step S306, the direct communication reliability is calculated according to the channel interference plus noise ratio and a preset threshold.
Specifically, the reliability of direct communication when the sensor node s and the sink node d select the channel m is calculated
Figure GDA0002954490940000101
For example, the steps shown in fig. 3 are introduced, and specifically include:
step1.1: calculating the distance between the s and the d according to the position coordinates of the sensor node s and the sink node dIs of Euclidean distance Rs,d；
Step1.2: according to Euclidean distance Rs,dChannel power gain H between node s and node ds,dAnd calculating the received signal strength of the sink node d by the path loss index alpha:
Figure GDA0002954490940000102
step1.3: calculating a possible interference node set when the nodes s and d adopt the channel m for communication, wherein the interference node set includes other sensor nodes and FD relay nodes, and can be represented as:
Figure GDA0002954490940000103
step1.4: calculating the strength of an interference signal received by a node d in a link in which a sensor node s communicates with a sink node d through a channel m as follows:
Figure GDA0002954490940000104
wherein p isi,mAs a set of interfering nodes
Figure GDA0002954490940000105
Transmission power, R, of intermediate node ii,dIs the distance between node i and sink node d, Hi,dIs the channel power gain between i and d.
Step1.5: calculating the channel interference plus noise ratio of the sensor node s to the sink node d through the channel m
Figure GDA0002954490940000106
Can be expressed as
Figure GDA0002954490940000107
Wherein N is0Is a taskIntentionally receiving white noise interference experienced by a node, N when the received signal bandwidth is BW0Can be expressed as
N0＝-174dbm+10log10BW (equation 5)
Step1.6: calculating the transmission reliability, considering that when the Signal to Interference plus Noise Ratio (SINR) is less than the set threshold, the receiving end node d will not successfully receive the Signal, so that the link reliability can be obtained as:
Figure GDA0002954490940000111
wherein, P represents the probability,
Figure GDA0002954490940000112
based on the above steps, the direct communication reliability is calculated.
In step S130, a cooperative communication reliability of the sensor node in performing cooperative communication via the full-duplex relay node based on the first sub-channel is calculated according to the network transmission model.
Fig. 4 is a flowchart of step S130 in fig. 1 according to an embodiment of the present invention, as shown in fig. 4, which specifically includes the following steps:
in step S401, a relay node is selected from the plurality of full-duplex relay nodes as a first relay node.
In step S402, a first channel interference plus noise ratio generated when the sensor node and the first relay node communicate based on the first sub-channel is calculated.
In an embodiment of the present invention, the steps specifically include: firstly, calculating the received signal strength from the sensor node to the first relay node; secondly, calculating an interference point set existing when the sensor node and the first relay node adopt the first sub-channel for communication; then, calculating the strength of an interference signal received by the first relay node when the sensor node communicates with the first relay node through the first sub-channel based on the set of interference points; and finally, calculating to obtain the interference-plus-noise ratio of the first channel according to the strength of the received signal and the strength of the interference signal.
In step S403, a second channel interference-plus-noise ratio generated when the first relay node and the gateway node perform communication based on the first sub-channel is calculated.
In an embodiment of the present invention, similar to the above steps, the steps specifically include: firstly, calculating the received signal strength from the first relay node to the gateway node; secondly, calculating an interference point set existing when the first relay node and the gateway node adopt the first sub-channel for communication; then, calculating the strength of an interference signal received by the gateway node when the first relay node communicates with the gateway node through the first sub-channel based on the set of interference points; and finally, calculating to obtain the interference-plus-noise ratio of the second channel according to the strength of the received signal and the strength of the interference signal.
In step S404, the cooperative communication reliability is calculated according to the first channel interference plus noise ratio and the second channel interference plus noise ratio.
Specifically, the reliability of cooperative communication is calculated when the sensor node s and the sink node d select the channel m and through the full-duplex relay r
Figure GDA0002954490940000121
For example, the steps shown in fig. 4 are introduced, and the specific steps include:
step2.1: the received signal strength from node s to relay node r is calculated and expressed as
Figure GDA0002954490940000122
Step2.2: when the node s to the relay node r adopt the channel m for transmission, the possible interference node set is calculated in the way that
Figure GDA0002954490940000123
Step2.3: calculating the strength of an interference signal received by the node r when the node s transmits to the relay node r by adopting the channel m, wherein the calculation mode is
Figure GDA0002954490940000124
Step2.4: calculating the channel interference plus noise ratio when the relay node r adopts the channel m to transmit from the node s
Figure GDA0002954490940000125
The calculation method is
Figure GDA0002954490940000126
Step2.5: calculating the strength of the signal received by the node d when the channel m is adopted from the node r to the node d as follows:
Figure GDA0002954490940000127
step2.6: calculating the set of nodes interfering with the received signal of node d
Figure GDA0002954490940000128
Expressed as:
Figure GDA0002954490940000129
step2.7: and calculating the strength of the interference signal received by the node d, wherein the strength is expressed as:
Figure GDA0002954490940000131
step2.8: calculating a channel interference-plus-noise ratio for a transmission using channel m from node r to node d
Figure GDA0002954490940000132
Step2.9: the link reliability of the cooperative communication between the computing node s and the computing node d on the subchannel m through the FD relay node r is as follows:
Figure GDA0002954490940000133
and calculating to obtain the reliability of the cooperative communication based on the steps.
In step S140, a channel transmission reliability of the sensor node based on the first sub-channel is calculated according to the direct communication reliability and the cooperative communication reliability.
In an embodiment of the present invention, the step traverses all nodes in the full-duplex relay nodes, and calculates a plurality of cooperative communication reliabilities respectively corresponding to the nodes when the sensor node and the gateway node perform relay communication via the full-duplex relay nodes; and calculating the channel transmission reliability of the sensor node based on the first sub-channel according to the plurality of cooperative communication reliabilities and the direct communication reliability.
Specifically, the transmission reliability of the computing node s through the channel m is as follows:
Figure GDA0002954490940000134
in step S150, performing spectrum aggregation on all sub-channels corresponding to the sensor node in the network transmission model according to the channel transmission reliability, to obtain the data transmission reliability of the sensor node.
In an embodiment of the present invention, in this step, channel transmission reliabilities when the sensor nodes communicate based on the plurality of sub-channels are calculated respectively; and combining the plurality of parallel communication links on the plurality of sub-channels to obtain the data transmission reliability of the sensor node.
Specifically, after spectrum aggregation, the computing node may combine multiple parallel communication links on different sub-channels, so as to obtain link reliability of communication between the sensor node s and the sink node:
Figure GDA0002954490940000141
based on the above, the data transmission reliability of a certain sensor node when adopting direct communication or relayed cooperative communication through all sub-channels is obtained through calculation.
The reliability of direct communication and relayed cooperative communication is analyzed separately as follows:
first, considering that there are 1 sensor node and 1 sink node, the distance between the sensor and the sink node is 200m, the direct communication mode (direct) communication is used, and the link loss index is 4. The transmitting power of the sensor on each channel is set to be P, the variation range of the P is 0dBm-30dBm, and the number of the channels is {1,2,3 }.
Fig. 5 is a graph of experimental results of a direct communication method according to an embodiment of the present invention, and fig. 5 shows reliability analysis under different powers and different numbers of channels. Based on fig. 5, it can be seen that the calculated values are matched with the values obtained by the monte carlo simulation, so that the reliability model derivation of the invention can be proved to be correct. Further, it can be seen that as the power increases, the reliability increases, and the greater the number of subchannels, the higher the reliability, and when the power is 30dBm, the reliability of the number of subchannels from 1 to 3 is 4 "9", 8 "9", and 12 "9", respectively.
Secondly, considering another scenario, setting 1 sensor node, 1 sink node and R Relay nodes, wherein the distance between the sensor and the sink node is 200m, the Relay nodes are fixed between the sensor and the sink node, a cooperative communication mode (index) is used between the sensor and the sink through the Relay, and the link loss index is 4. Setting the transmitting power of the sensor and the Relay node on each channel to be P, wherein the variation range of P is 0dBm-30dBm, and the number of the channels M is {1,2,3 }.
Fig. 6 is a graph of experimental results of a cooperative communication method according to an embodiment of the present invention, and as shown in fig. 6, reliability analysis is also shown for different power and different number of channels. Based on fig. 6, it can be seen that the calculated values match the values obtained by the monte carlo simulation, thereby proving the reliability model of the present invention to be derived correctly. Further, it can be seen that as the number of subchannels increases (in this scenario, equivalent to an increase in the number of relays), the reliability increases, and at a power of 30dBm, the reliabilities of the number of subchannels from 1 to 3 are 1 "9", 2 "9", and 3 "9", respectively. However, the reliability improvement due to the power increase is not obvious, because the power increase will also increase the interference generated by the UE to the Relay node, thereby reducing the reliability improvement.
In summary, in the method provided in the embodiments of the present invention, on one hand, a full-duplex node is introduced into a conventional industrial internet of things, and a relay node simultaneously receives and retransmits a signal in the same channel, so that communication reliability can be improved by shortening a communication distance of the node, and transmission delay is not increased. On the other hand, the system constructs the mathematical expression of the resource allocation when full-duplex relay and frequency spectrum aggregation are introduced, and respectively provides the reliability calculation methods of direct transmission and cooperative transmission, and provides the reliability calculation method of the sensor node on the basis.
It should be noted that although in the above detailed description several modules or units of the device for action execution are mentioned, such a division is not mandatory. Indeed, the features and functionality of two or more modules or units described above may be embodied in one module or unit, according to embodiments of the invention. Conversely, the features and functions of one module or unit described above may be further divided into embodiments by a plurality of modules or units.
Through the above description of the embodiments, those skilled in the art will readily understand that the exemplary embodiments described herein may be implemented by software, or by software in combination with necessary hardware. Therefore, the technical solution according to the embodiment of the present invention can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (which can be a CD-ROM, a usb disk, a removable hard disk, etc.) or on a network, and includes several instructions to enable a computing device (which can be a personal computer, a server, a touch terminal, or a network device, etc.) to execute the method according to the embodiment of the present invention.
Other embodiments of the invention will be apparent to those skilled in the art from consideration of the specification and practice of the invention disclosed herein. This application is intended to cover any variations, uses, or adaptations of the invention following, in general, the principles of the invention and including such departures from the present disclosure as come within known or customary practice within the art to which the invention pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the invention being indicated by the following claims.
It will be understood that the invention is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the invention is limited only by the appended claims.

Claims (6)

1. A method for calculating data transmission reliability in an industrial Internet of things is characterized by comprising the following steps:
constructing a network transmission model of a full-duplex relay node, wherein the network transmission model comprises a plurality of sensor nodes, a plurality of full-duplex relay nodes and a plurality of gateway nodes;
calculating the direct communication reliability of the sensor node when the sensor node carries out direct communication based on the first sub-channel according to the network transmission model;
the calculating the direct communication reliability of the sensor node when the sensor node performs direct communication based on the first sub-channel according to the network transmission model includes:
calculating Euclidean distance between the sensor node and the gateway node according to the position coordinates of the sensor node and the gateway node;
calculating according to the Euclidean distance and in combination with the channel power gain and the path loss index between the sensor node and the gateway node to obtain the received signal strength of the gateway node;
calculating an interference point set existing when the sensor node and the gateway node adopt the first sub-channel for communication;
calculating the strength of an interference signal received by the gateway node when the sensor node communicates with the gateway node through the first sub-channel based on the set of interference points;
calculating to obtain a channel interference plus noise ratio according to the received signal strength and the interference signal strength;
calculating to obtain the direct communication reliability according to the channel interference plus noise ratio and a preset threshold;
calculating the cooperative communication reliability of the sensor node when the sensor node performs cooperative communication through the full-duplex relay node based on the first sub-channel according to the network transmission model;
the calculating, according to the network transmission model, the cooperative communication reliability of the sensor node when performing cooperative communication via the full-duplex relay node based on the first subchannel includes:
selecting a relay node from the plurality of full-duplex relay nodes as a first relay node;
calculating a first channel interference-plus-noise ratio generated when the sensor node and the first relay node communicate based on the first sub-channel;
calculating a second channel interference-plus-noise ratio generated when the first relay node and the gateway node communicate based on the first sub-channel;
calculating the cooperative communication reliability according to the first channel interference plus noise ratio and the second channel interference plus noise ratio;
the calculating a first channel interference-plus-noise ratio generated when the sensor node communicates with the first relay node based on the first sub-channel comprises:
calculating the received signal strength from the sensor node to the first relay node;
calculating an interference point set existing when the sensor node and the first relay node adopt the first sub-channel for communication;
calculating the strength of an interference signal received by the first relay node when the sensor node communicates with the first relay node through the first sub-channel based on the set of interference points;
calculating to obtain the first channel interference plus noise ratio according to the received signal strength and the interference signal strength;
the calculating a second channel interference-plus-noise ratio generated when the first relay node and the gateway node communicate based on the first sub-channel comprises:
calculating the received signal strength from the first relay node to the gateway node;
calculating an interference point set existing when the first relay node and the gateway node adopt the first subchannel for communication;
calculating the strength of an interference signal received by the gateway node when the first relay node communicates with the gateway node through the first sub-channel based on the set of interference points;
calculating to obtain the interference plus noise ratio of the second channel according to the strength of the received signal and the strength of the interference signal;
calculating to obtain the channel transmission reliability of the sensor node based on the first sub-channel according to the direct communication reliability and the cooperative communication reliability;
and carrying out spectrum aggregation on all sub-channels corresponding to the sensor nodes in the network transmission model according to the channel transmission reliability to obtain the data transmission reliability of the sensor nodes.
2. The method for calculating the reliability of data transmission in the industrial internet of things as claimed in claim 1, wherein the constructing the network transmission model of the full-duplex relay node comprises:
forming a direct communication link between the sensor node and the gateway node;
forming a full-duplex cooperative communication link between the sensor node and the gateway node via the relay node.
3. The method for calculating the reliability of data transmission in the industrial internet of things as claimed in claim 1, wherein one of the plurality of sensor nodes selects a multi-hop path to connect to the plurality of gateway nodes by way of spectrum aggregation.
4. The method of claim 1, wherein the plurality of sensor nodes aggregate Z consecutive and non-consecutive subcarriers based on a non-consecutive subcarrier aggregation technique, wherein Z is less than or equal to 32.
5. The method for calculating the reliability of data transmission in the industrial internet of things as claimed in claim 1, wherein the calculating the channel transmission reliability of the sensor node based on the first sub-channel according to the direct communication reliability and the cooperative communication reliability comprises:
traversing all nodes in the full-duplex relay nodes, and calculating to obtain a plurality of cooperative communication reliabilities respectively corresponding to the sensor nodes and the gateway node when the relay communication is carried out through the full-duplex relay nodes;
and calculating the channel transmission reliability of the sensor node based on the first sub-channel according to the plurality of cooperative communication reliabilities and the direct communication reliability.
6. The method for calculating the data transmission reliability in the industrial internet of things according to claim 1, wherein the sensor node corresponds to a plurality of sub-channels, and the obtaining the data transmission reliability of the sensor node by performing spectrum aggregation on all the sub-channels corresponding to the sensor node in the network transmission model according to the channel transmission reliability comprises:
calculating channel transmission reliability when the sensor nodes communicate based on the plurality of sub-channels respectively;
and combining the plurality of parallel communication links on the plurality of sub-channels to obtain the data transmission reliability of the sensor node.
CN201910671945.9A 2019-07-24 2019-07-24 Data transmission reliability calculation method in industrial Internet of things Active CN110290549B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201910671945.9A CN110290549B (en) 2019-07-24 2019-07-24 Data transmission reliability calculation method in industrial Internet of things

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201910671945.9A CN110290549B (en) 2019-07-24 2019-07-24 Data transmission reliability calculation method in industrial Internet of things

Publications (2)

Publication Number Publication Date
CN110290549A CN110290549A (en) 2019-09-27
CN110290549B true CN110290549B (en) 2021-07-16

Family

ID=68022301

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201910671945.9A Active CN110290549B (en) 2019-07-24 2019-07-24 Data transmission reliability calculation method in industrial Internet of things

Country Status (1)

Country Link
CN (1) CN110290549B (en)

Families Citing this family (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110769444B (en) * 2019-10-25 2021-06-25 东北大学 Transmission method of wireless energy-carrying communication based on power distribution
CN116074225B (en) * 2023-03-28 2023-06-23 浙江大丰数艺科技有限公司 Cross-media multidimensional sensor signal data interaction method, system and medium

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107257565A (en) * 2017-06-02 2017-10-17 西安电子科技大学 Wireless sensor network reliability calculation method based on energy and transmission
CN108833044A (en) * 2018-07-02 2018-11-16 东北大学 Channel reliability appraisal procedure and optimization method in a kind of multilayer heterogeneous network

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US10203033B2 (en) * 2009-03-06 2019-02-12 Eaton Cummins Automated Transmission Technologies Llc Transmission control module with multiple sensor inputs

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107257565A (en) * 2017-06-02 2017-10-17 西安电子科技大学 Wireless sensor network reliability calculation method based on energy and transmission
CN108833044A (en) * 2018-07-02 2018-11-16 东北大学 Channel reliability appraisal procedure and optimization method in a kind of multilayer heterogeneous network

Non-Patent Citations (4)

* Cited by examiner, † Cited by third party
Title
Optimal Cluster Head Selection and Rotation of Cognitive Wireless Sensor Networks for Simultaneous Data Gathering;Shohei Fujii;《ICOIN 2017》;20171231;全文 *
无线传感器网络数据可靠传输关键技术研究;王海勇;《中国博士学位论文全文数据库信息科技辑》;20180115;全文 *
无线传感网中模糊逻辑分簇和数据融合技术研究;吉鹏硕;《中国优秀硕士学位论文全文数据库信息科技辑》;20180315;全文 *
物联网系统可靠性检测与评估技术;李维;《软件》;20121231;全文 *

Also Published As

Publication number Publication date
CN110290549A (en) 2019-09-27

Similar Documents

Publication Publication Date Title
CN108834112B (en) NOMA-based relay-assisted D2D communication system power distribution method
US8467730B2 (en) Radio communication method, base station apparatus and terminal apparatus in radio communication system, and radio communication system
CN103415077B (en) A kind of joint relay selection and the method and system of power distribution
TW200931926A (en) Methods and apparatus for improved utilization of air link resources in a wireless communications system including a multi-antenna element base station
CN110149127B (en) NOMA technology-based precoding vector optimization method for D2D communication system
CN104735744B (en) A kind of design method of the multi-hop relay routing based on terminal direct connection communication
CN110290549B (en) Data transmission reliability calculation method in industrial Internet of things
US9674846B2 (en) Distributed multi-cell multi-user beamforming method, transmitter and relevant system
CN112911555B (en) Wireless network communication resource scheduling method and system based on information age
CN111385011A (en) Wireless power supply relay network system based on full duplex and optimization method
CN107343268B (en) Non-orthogonal multicast and unicast transmission beamforming method and system
CN108282876A (en) A kind of ascending transmission method, terminal, network side equipment
CN109361445B (en) Bidirectional non-orthogonal multiple access method using full duplex relay
CN110191476B (en) Reconfigurable antenna array-based non-orthogonal multiple access method
CN104852793B (en) A kind of virtual full duplex relay transmission method based on half-duplex multipath cooperative system
CN102256301A (en) User selection method for simultaneously meeting unicast and multicast services
EP3068064B1 (en) Method and apparatus for re-transmitting data
CN102045826B (en) The processing method of inter-cell uplink interference and device
CN104168595A (en) Multipoint cooperative transmission method, device and system
CN115515167A (en) RIS-NOMA network-based collaborative D2D system and performance improvement analysis method thereof
Zhang et al. Performance analysis of relay based NOMA cooperative transmission under cognitive radio network
CN102014438B (en) Relay selection and power control communication combined method and system for multi-cell network
US11683074B2 (en) Transmission/reception method and transmission/reception system
CN107911824B (en) Dynamic spectrum allocation method and device
CN110730025B (en) Incremental relay method suitable for energy-carrying non-orthogonal multiple access communication system

Legal Events

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