CN117354847A - Dual-mode communication access channel performance evaluation method and system for electric power Internet of things - Google Patents
Dual-mode communication access channel performance evaluation method and system for electric power Internet of things Download PDFInfo
- Publication number
- CN117354847A CN117354847A CN202311127244.1A CN202311127244A CN117354847A CN 117354847 A CN117354847 A CN 117354847A CN 202311127244 A CN202311127244 A CN 202311127244A CN 117354847 A CN117354847 A CN 117354847A
- Authority
- CN
- China
- Prior art keywords
- channel
- scheme
- dual
- communication
- performance indexes
- 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.)
- Pending
Links
- 238000004891 communication Methods 0.000 title claims abstract description 123
- 238000011156 evaluation Methods 0.000 title claims abstract description 18
- 239000011159 matrix material Substances 0.000 claims abstract description 53
- 238000000034 method Methods 0.000 claims abstract description 50
- 230000008569 process Effects 0.000 claims abstract description 30
- 230000005540 biological transmission Effects 0.000 claims abstract description 25
- 230000008859 change Effects 0.000 claims description 12
- 238000004364 calculation method Methods 0.000 claims description 9
- 238000004128 high performance liquid chromatography Methods 0.000 claims description 7
- 230000009977 dual effect Effects 0.000 claims description 5
- 238000004458 analytical method Methods 0.000 claims description 3
- 230000015572 biosynthetic process Effects 0.000 claims description 3
- 238000003786 synthesis reaction Methods 0.000 claims description 3
- 230000009466 transformation Effects 0.000 claims description 2
- 230000005611 electricity Effects 0.000 description 5
- 238000012163 sequencing technique Methods 0.000 description 5
- 238000010276 construction Methods 0.000 description 4
- 238000010586 diagram Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 230000006855 networking Effects 0.000 description 1
- 230000000737 periodic effect Effects 0.000 description 1
Classifications
-
- 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
- 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
- H04B3/00—Line transmission systems
- H04B3/02—Details
- H04B3/46—Monitoring; Testing
Landscapes
- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Physics & Mathematics (AREA)
- Electromagnetism (AREA)
- Data Exchanges In Wide-Area Networks (AREA)
Abstract
The invention provides a dual-mode communication access channel performance evaluation method and system for electric power Internet of things, wherein the method comprises the following steps: establishing an analytic hierarchy process model, wherein the analytic hierarchy process model comprises a target layer, namely an optimal channel scheme, a criterion layer, namely a plurality of channel performance indexes, and a scheme layer, namely a plurality of channel schemes; calculating the scheme relative weights of single channel performance indexes aiming at different channel schemes in a criterion layer by a fuzzy analytic hierarchy process; acquiring index relative weights among various channel performance indexes in a target layer according to the full information matrix of the communication node; combining the scheme relative weight and the index relative weight to obtain channel quality comprehensive weights of a plurality of channel performance indexes; and sorting the channels according to the channel quality comprehensive weights of the multiple channel performance indexes, and then selecting an optimal channel. The invention effectively improves the success rate of data acquisition and the reliability of data transmission of the dual-mode communication network and improves the communication quality of the power consumption information acquisition network.
Description
Technical Field
The invention relates to the field of electric power Internet of things, in particular to a dual-mode communication access channel performance evaluation method and system for the electric power Internet of things.
Background
In a dual-mode communication network oriented to electricity information collection, a dual-mode node has two communication channels, namely an HPLC communication channel and a micro-power wireless communication channel, and when the node performs data transmission or data forwarding, multiple selectable communication channels can exist simultaneously. Therefore, the node needs to select a channel for access, and selects a proper channel for access so as to forward data, which is significant for improving the communication reliability and success rate of the data. Developing strong smart grid construction puts higher demands on the electricity information collection system, and communication network construction of the system also faces greater challenges. The total amount of power users is huge, but the distribution is wide, and compared with a relatively stable remote communication channel, the construction of a local channel is more complex and difficult, and the traditional single communication mode of the local channel can not meet the communication requirement of the power consumption information acquisition service. In the electricity consumption information acquisition network, factors influencing the channel environment are diversified, each index factor is time-varying, the communication performance of the channel is required to be evaluated by combining various performance indexes, and the optimal channel is selected for access according to the evaluation result, so that the optimal path selection can be achieved, the performance of the communication network is improved, and the reliability and the success rate of the electricity consumption information acquisition are improved. Therefore, a dual-mode communication access channel performance evaluation method and system for the electric power internet of things, which can effectively improve the reliability and success rate of data transmission and forwarding, are needed at present.
Disclosure of Invention
The invention aims to provide a dual-mode communication access channel performance evaluation method and system for an electric power Internet of things, which are used for improving the performance of a communication network by selecting an optimal path and effectively improving the reliability and success rate of data transmission and forwarding.
In order to solve the technical problems, the invention adopts the following technical scheme:
a dual-mode communication access channel performance evaluation method for the electric power Internet of things comprises the following steps: establishing an analytic hierarchy process model, wherein the analytic hierarchy process model sequentially comprises the following steps from top to bottom: the target layer is an optimal channel scheme, the criterion layer is a plurality of channel performance indexes, and the scheme layer is a plurality of channel schemes; calculating the scheme relative weights of single channel performance indexes in a criterion layer aiming at different channel schemes by a fuzzy analytic hierarchy process; acquiring index relative weights among all the channel performance indexes in the target layer; combining the scheme relative weights and the index relative weights to obtain channel quality comprehensive weights of a plurality of channel performance indexes; and selecting an optimal channel in a plurality of selectable communication channels according to the channel quality comprehensive weights of the channel performance indexes, and switching to the optimal channel for data transmission.
Further, in the present invention, the above-mentioned dual-mode communication access channel performance evaluation method for the electric power internet of things includes: extracting a plurality of channel performance indexes of a communication channel of a dual-mode communication network, and constructing a communication node full information matrix by utilizing the plurality of channel performance indexes; and calculating through the communication node full information matrix to obtain the index relative weights among the channel performance indexes in the target layer.
Further, in the present invention, the calculating the relative weights of the channel performance indexes for different channel schemes in the criterion layer by the fuzzy analytic hierarchy process includes the following steps: respectively establishing a priority relation matrix according to the importance of each factor of the next level to each factor of the previous level; establishing a fuzzy consistent matrix according to the two priority relation matrixes; and calculating the scheme relative weights of various channel schemes under a single channel performance index by using the fuzzy consistency matrix.
Further, in the present invention, the above-mentioned establishing a priority relation matrix through the importance of each factor of the next level to each factor of the previous level includes the following steps: establishing a priority relation matrix according to the relative importance of each factor in the criterion layer to the target layer; and establishing a priority relation matrix through the relative importance of the scheme layer to different factors of the criterion layer.
Further, in the present invention, the above-mentioned priority relation matrix F determines the relative relation of two factors by three scales of 0, 0.5 and 1, expressed as: wherein f ij For the related criterion factors determined according to the decision problem and the final target, i is the line sequence number where the factors are located, j is the column sequence number where the factors are located, and n is a positive integer; summing the two priority relation matrixes, and then performing transformation calculation by using the following formula to obtain r ij Obtaining the fuzzy consistency matrix R, which is expressed as: />R＝(r ij ) n×n The method comprises the steps of carrying out a first treatment on the surface of the Wherein f ik Is the element of the ith row and the kth column of the priority relation matrix F; r is (r) i Is the sum of elements in the ith row of the priority relation matrix F; r is (r) j Is the sum of the elements of the j th row of the priority relation matrix F.
Further, in the present invention, the scheme relative weights w of the various channel schemes under a single channel performance index are calculated by a method i Expressed as:
wherein f ij Is an element in a priority relation matrix F, and n is a positive integer;
combining the scheme relative weightsAnd the relative weight w of the index T Obtaining the channel quality comprehensive weight W, wherein the expression is as follows: />Wherein (1)>The relative weights are under a single criterion factor for each scheme.
Further, in the present invention, the channel performance indexes include any one or more of a signal strength change rate, a network transmission delay and a packet loss rate; a variety of such communication schemes include any one or more of HPLC communication and micropower wireless communication channel types.
Further, in the present invention, the calculation formula of the signal strength change rate TROS is:where rsi is the received signal strength, and w is the transmitting power of the communication module in milliwatts; the packet loss rate P of the data packet is calculated by the following formula: />Wherein N is recv Indicating total number of data packets received by destination node, N send The total number of data packets sent for the current node.
Further, in the present invention, channel communication quality association ranking is performed on a plurality of channel performance indexes according to the channel quality comprehensive weight, and the optimal channel w in a plurality of selectable communication channels is obtained according to the communication quality association ranking, which is expressed as:wherein z is 1 For optional communication channel w 1 Channel communication quality, z 2 For optional communication channel w 2 Is used for the communication quality of the channel.
A dual mode communication access channel performance assessment system, comprising: the model building module is used for building an analytic hierarchy model, and the analytic hierarchy model sequentially comprises the following components from top to bottom: the target layer is an optimal channel scheme, the criterion layer is a plurality of channel performance indexes, and the scheme layer is a plurality of channel schemes; the weight analysis module is used for calculating the scheme relative weights of the single channel performance index in the criterion layer aiming at different channel schemes through a fuzzy analytic hierarchy process; the weight synthesis module is used for obtaining the index relative weights among the channel performance indexes in the target layer; combining the scheme relative weights and the index relative weights to obtain channel quality comprehensive weights of a plurality of channel performance indexes; and the channel switching module is used for selecting the optimal channel in the plurality of selectable communication channels according to the channel quality comprehensive weights of the channel performance indexes, and switching to the optimal channel for data transmission.
Compared with the prior art, the invention has at least the following advantages or beneficial effects:
the utility model provides a bimodulus communication access channel performance evaluation method and system for electric power thing networking, it is through setting up the analytic hierarchy model including target layer, criterion layer and scheme layer, and calculate the scheme relative weight of single factor in the criterion layer under the condition of different channel schemes through the fuzzy analytic hierarchy process, and obtain the index relative weight between each channel performance index in the target layer, thereby combine the multi-level relative weight and the relative weight of individual layer to obtain the channel quality comprehensive weight of each index, evaluate a plurality of optional communication channels according to the channel quality comprehensive weight and obtain the optimal channel, switch current data transmission channel into the optimal channel and realize data transmission. The invention can analyze the comprehensive weight of the channel quality analyzed by the multiple performance indexes through the multi-layer structure, and further select the optimal communication channel according to the comprehensive weight, thereby improving the performance of the communication network and effectively improving the reliability and success rate of data transmission and forwarding.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed in the embodiments will be briefly described below, it being understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and other related drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a flowchart of a dual mode communication channel access algorithm according to embodiment 1 of the present invention;
FIG. 2 is a dual tree network topology for HPLC and micropower wireless of example 1 of the present invention;
FIG. 3 is a block diagram of a fuzzy analytic hierarchy process in accordance with example 1 of the present invention;
fig. 4 is a flow chart of the fuzzy analytic hierarchy process of embodiment 1 of the present invention.
Detailed Description
Example 1
Referring to fig. 1 to fig. 4, fig. 1 to fig. 4 are schematic diagrams illustrating performance evaluation of a dual-mode access channel according to an embodiment of the present application. The invention optimizes the dual-mode communication access channel performance evaluation method for the electric power Internet of things based on the fuzzy analytic hierarchy process, and the general flow is shown in figure 1. The dual-mode node acquires the performance indexes of different channels in real time, combines the relative indexes among the different performance indexes with the relative indexes of the layers obtained by calculation through a fuzzy analytic hierarchy process, calculates the channel quality comprehensive weight of the dual-mode communication network, and accordingly performs association sequencing on the node channels, and then selects an optimal channel for access according to a judgment result.
The specific flow comprises the following steps: the analytic hierarchy process model is established, and the analytic hierarchy process structure is shown in fig. 3, and sequentially comprises the following steps from top to bottom: the target layer is the optimal channel scheme, the criterion layer is a plurality of channel performance indexes, and the scheme layer is a plurality of channel schemes. Calculating the scheme relative weights of single channel performance indexes in a criterion layer aiming at different channel schemes by a fuzzy analytic hierarchy process; acquiring index relative weights among all the channel performance indexes in the target layer; combining the scheme relative weights and the index relative weights to obtain channel quality comprehensive weights of a plurality of channel performance indexes; and selecting an optimal channel in a plurality of selectable communication channels according to the channel quality comprehensive weights of the channel performance indexes, and switching to the optimal channel for data transmission.
The analytic hierarchy process model is used for selecting an optimal channel scheme in a plurality of selectable channel schemes aiming at a plurality of channel performance index parameters. The fuzzy analytic hierarchy process utilizes various channel schemes in a criterion layer to analyze the scheme relative weights of single channel performance indexes on the quality of the channel schemes. And then, acquiring the relative weights of indexes affecting the quality of the channel scheme among various channel performance indexes in the target layer, thereby combining the two to obtain comprehensive weights, and evaluating the optimal communication channel by utilizing the comprehensive weights.
Further, in the present invention, the above-mentioned dual-mode communication access channel performance evaluation method for the electric power internet of things includes: extracting a plurality of channel performance indexes of a communication channel of a dual-mode communication network, and constructing a communication node full information matrix by utilizing the plurality of channel performance indexes; and obtaining the index relative weight among the channel performance indexes in the target layer according to the calculation step of the fuzzy analytic hierarchy process by the communication node full information matrix.
Further, in the present invention, the calculating the relative weights of the channel performance indexes for different channel schemes in the criterion layer by the fuzzy analytic hierarchy process includes the following steps: respectively establishing a priority relation matrix according to the importance of each factor of the next level to each factor of the previous level; establishing a fuzzy consistent matrix according to the two priority relation matrixes; and calculating the scheme relative weights of various channel schemes under a single channel performance index by using the fuzzy consistency matrix.
Further, in the present invention, the above-mentioned establishing a priority relation matrix through the importance of each factor of the next level to each factor of the previous level includes the following steps: establishing a priority relation matrix according to the relative importance of each factor in the criterion layer to the target layer; and establishing a priority relation matrix through the relative importance of the scheme layer to different factors of the criterion layer.
And carrying out hierarchical single sequencing according to the fuzzy consistent matrix, solving the fuzzy consistent matrix, and calculating the relative weights of each scheme layer scheme under the condition of a single factor in the upper layer of the criterion layer by using the fuzzy consistent matrix as a basis. And establishing priority relation matrixes among multiple layers by using the important correlation of the next layer to the previous layer, and establishing fuzzy consistency matrixes according to the relation of the matrixes, so that consistency check of the matrixes is not needed, complex calculation caused by consistency is greatly reduced, and weights of different channel schemes in a criterion layer are calculated by using the fuzzy consistency matrixes.
Further, in the present invention, the above-mentioned priority relation matrix F determines the relative relation of two factors by three scales of 0, 0.5 and 1, expressed as: wherein element F in the priority relation matrix F ij For the related criterion factors determined according to the decision problem and the final target, i is the line sequence number where the factors are located, j is the column sequence number where the factors are located, and n is a positive integer; summing the two priority relation matrixes and then carrying out r by using the following formula ij Obtaining the fuzzy consistency matrix R, which is expressed as: />R＝(r ij ) n×n The method comprises the steps of carrying out a first treatment on the surface of the Wherein f ik Is the element of the ith row and the kth column of the priority relation matrix F; r is (r) i Is the sum of elements in the ith row of the priority relation matrix F; r is (r) j Is the sum of the elements of the j th row of the priority relation matrix F.
In the priority relation matrix, the relative relation between each factor of the next level and each factor of the previous level is calibrated according to the relative importance degree of each factor of the next level in different factors of the previous level. The two priority relation matrixes respectively adopt three-level scales to determine the relative relation, so that the method is simple and quick.
Further, in the present invention, the scheme relative weights w of the various channel schemes under a single channel performance index are calculated by a method i Expressed as:
wherein f ij Is an element in a priority relation matrix F, and n is a positive integer; combining the scheme relative weightsAnd the relative weight w of the index T Obtaining the channel quality comprehensive weight W, wherein the expression is as follows:wherein (1)> The relative weights are under a single criterion factor for each scheme.
The method calculates the scheme relative weights of single factors of the criterion layer under different channel schemes by a method of square root, and simplifies the calculation process. And finally determining the total rank according to the rank single rank, and combining the relative weights among the criterion factors in the upper criterion layer through the obtained rank single rank to finally obtain the final weight total rank of each scheme in the scheme layer, namely the channel quality comprehensive weight.
Further, in the present invention, the channel performance indexes include any one or more of a signal strength change rate, a network transmission delay and a packet loss rate; a variety of such communication schemes include any one or more of HPLC communication and micropower wireless communication channel types.
The node full information matrix comprises different associated index parameters, so that corresponding index relative weights are obtained by constructing and updating the full information matrix. And when data is prepared, extracting index parameters of the switching of selectable communication channels of the dual-mode communication network, participating in construction and updating the full information matrix of the communication nodes in real time. And analyzing and obtaining the channel type of the selectable communication channel, the signal intensity change rate of each communication channel, the network transmission delay and the packet loss rate as the communication channel weight influence factors.
The network transmission delay is an important index in the electricity consumption information acquisition network, and can reflect the hard plug degree of the network, thereby reflecting the advantages and disadvantages of the channel environment. The lower the network transmission delay, the better the channel environment of the node channel, and conversely, the worse the channel environment of the node channel.
When the method is applied, in the dual-tree network facing the HPLC and micropower wireless, the periodic packet sending of the dual-mode node acquires the signal strength change rate, the network transmission delay and the packet loss rate index value. Taking a dual-tree network as an example, as shown in fig. 2, a concentrator a node is taken as a root node of the dual-tree network to manage the whole network, a node B, C is a relay node, a node D, E, F, G is a relay node, a wireless next-hop node of a dual-mode node G is a node C, a carrier next-hop node is still C, a current node G periodically sends packets to the node C through a wireless channel, a signal intensity change rate, a network transmission delay and a packet loss index value of the wireless channel between the node G and the node C are obtained, and index values of the carrier channel are obtained in the same way.
In the embodiment of the application, the implementation process of the fuzzy analytic hierarchy process is shown in fig. 4, and mainly includes establishing an analytic hierarchy model, establishing a priority relation matrix, establishing a fuzzy consistent matrix, and performing hierarchical single ranking and hierarchical total ranking. And determining the priority of the two communication technologies of HPLC and micropower wireless communication according to the signal strength change rate, the network transmission delay and the packet loss rate as criteria. And respectively calculating the weights of the next layer relative to the previous layer by establishing a three-layer analytic hierarchy structure, thereby sequentially calculating the weights of multiple layers upwards, combining the weights with the relative weights among a plurality of indexes in the criterion layer, thereby obtaining the final weight to realize the sorting of the quality of the alternative schemes, and solving the optimal scheme of the alternative communication channels.
Further, in the present invention, the calculation formula of the signal strength change rate TROS is:where rsi is the received signal strength, and w is the transmitting power of the communication module in milliwatts; the packet loss rate P of the data packet is calculated by the following formula: />Wherein N is recv Indicating total number of data packets received by destination node, N send The total number of data packets sent for the current node.
The signal intensity change rate is the ratio of signal attenuation to initial signal intensity, and can reflect the signal attenuation degree and indirectly reflect the advantages and disadvantages of the channel environment. The criterion is that the smaller the rate of change of signal strength, the better the channel environment. The packet loss rate can directly reflect the communication quality of the node channel, and when the network is congested or the link signal attenuation is serious, the network can lose packets.
Further, in the present invention, channel communication quality association ranking is performed on a plurality of channel performance indexes according to the channel quality comprehensive weight, and the optimal channel w in a plurality of selectable communication channels is obtained according to the communication quality association ranking, which is expressed as:wherein z is 1 For optional communication channel w 1 Channel communication quality, z 2 For optional communication channel w 2 Is used for the communication quality of the channel.
According to the channel quality comprehensive weight of the multiple channel performance indexes, correlating the channel performance indexes with the channel communication quality to obtain a communication quality correlation ranking, and obtaining an optimal channel in a plurality of selectable communication channels by utilizing the communication quality correlation ranking, wherein the specific basis is to judge according to the communication quality.
Taking the dual-tree network shown in fig. 2 as an example, a relay node C is set as a current node, wireless next-hop nodes of the node are respectively a node B, a node F and a node G, and carrier next-hop nodes of the node are respectively a node a, a node F and a node G. Let the channel of the current node communicating with the wireless next hop node B be w cb The communication channel between the current node and the carrier next hop node A, node F and node G is plc ca 、plc cf 、plc cg . For w cb And plc (plc) ca 、plc cf 、plc cg And performing association sequencing, and the other wireless next hop nodes are treated similarly. The channel association sequencing result of the current node finally constructs a node channel association sequence table, and the channel association sequence table constructed by the node C at a certain moment is shown in table 1.
Table 1 channel association sequence table for nodes
In table 1, the channel association ordering result corresponding to the carrier next-hop node a and the wireless next-hop node B is wireless. Communication of node C with wireless next hop node BLane is w cb The channel for communication with the carrier next hop node A is plc ca The associated ordering result is a wireless description channel w cb Specific channel plc ca Has good comprehensive communication performance. And the channel association sequencing result corresponding to the wireless next-hop node F and the carrier next-hop node G is a carrier. The channel of the current node C communicating with the wireless next hop node F is w cf The channel for communication with the carrier next hop node G is plc cg The associated ordering result is a wireless description channel w cf Specific channel plc cg Has good comprehensive communication performance. In the channel association sequence table, the wireless next hop N of the current node is known 1 And carrier next hop N 2 The communication scheme type of the channel with better comprehensive communication performance, namely the optimal channel w, can be queried through the following formula, wherein the formula is as follows: w=f (N 1 ,N 2 )。
Example 2
The embodiment of the application provides a dual-mode communication access channel performance evaluation system, which comprises: the model building module is used for building an analytic hierarchy model, and the analytic hierarchy model sequentially comprises the following components from top to bottom: the target layer is an optimal channel scheme, the criterion layer is a plurality of channel performance indexes, and the scheme layer is a plurality of channel schemes; the weight analysis module is used for calculating the scheme relative weights of the single channel performance index in the criterion layer aiming at different channel schemes through a fuzzy analytic hierarchy process; the weight synthesis module is used for obtaining the index relative weights among the channel performance indexes in the target layer; combining the scheme relative weights and the index relative weights to obtain channel quality comprehensive weights of a plurality of channel performance indexes; and the channel switching module is used for selecting the optimal channel in the plurality of selectable communication channels according to the channel quality comprehensive weights of the channel performance indexes, and switching to the optimal channel for data transmission.
The principle of the embodiment of the present application is the same as that of embodiment 1, and the description is not necessarily repeated here. The architecture shown in fig. 2 is merely illustrative and the dual mode communication access channel performance evaluation system may also include more or fewer components than shown in fig. 2 or have a different configuration than shown in fig. 2. The components shown in fig. 2 may be implemented in hardware, software, or a combination thereof.
In summary, according to the dual-mode communication access channel performance evaluation method and system for the electric power internet of things provided by the embodiment of the application, an analytic hierarchy model comprising a target layer, a criterion layer and a scheme layer is established, scheme relative weights of single factors in the criterion layer under different channel schemes are calculated through a fuzzy analytic hierarchy process, index relative weights among various channel performance indexes in the target layer are obtained, and therefore channel quality comprehensive weights of various indexes are obtained by combining multi-level relative weights and single-level relative weights, a plurality of selectable communication channels are evaluated according to the channel quality comprehensive weights to obtain optimal channels, and a current data transmission channel is switched to the optimal channel to realize data transmission. The invention can analyze the comprehensive weight of the channel quality analyzed by the multiple performance indexes through the multi-layer structure, and further select the optimal communication channel according to the comprehensive weight, thereby improving the performance of the communication network and effectively improving the reliability and success rate of data transmission and forwarding.
The foregoing description is only of the preferred embodiments of the present application and is not intended to limit the same, but rather, various modifications and variations may be made by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principles of the present application should be included in the protection scope of the present application.
Claims (10)
1. A dual-mode communication access channel performance evaluation method for the electric power Internet of things is characterized by comprising the following steps:
establishing an analytic hierarchy process model, wherein the analytic hierarchy process model sequentially comprises the following steps from top to bottom: the target layer is an optimal channel scheme, the criterion layer is a plurality of channel performance indexes, and the scheme layer is a plurality of channel schemes;
calculating the scheme relative weights of single channel performance indexes in a criterion layer aiming at different channel schemes by a fuzzy analytic hierarchy process;
acquiring index relative weights among all the channel performance indexes in the target layer; combining the scheme relative weights and the index relative weights to obtain channel quality comprehensive weights of a plurality of channel performance indexes;
and selecting an optimal channel in a plurality of selectable communication channels according to the channel quality comprehensive weights of the channel performance indexes, and switching to the optimal channel for data transmission.
2. The method for evaluating the performance of a dual-mode communication access channel for the electric power internet of things according to claim 1, wherein the method for evaluating the performance of the dual-mode communication access channel for the electric power internet of things comprises: extracting a plurality of channel performance indexes of a communication channel of a dual-mode communication network, and constructing a communication node full information matrix by utilizing the plurality of channel performance indexes; and calculating through the communication node full information matrix to obtain the index relative weights among the channel performance indexes in the target layer.
3. The method for evaluating the performance of a dual-mode communication access channel for the internet of things of electric power according to claim 1, wherein calculating the scheme relative weights of single channel performance indexes in a criterion layer for different channel schemes by the fuzzy analytic hierarchy process comprises the following steps:
respectively establishing a priority relation matrix according to the importance of each factor of the next level to each factor of the previous level;
establishing a fuzzy consistent matrix according to the two priority relation matrixes;
and calculating the scheme relative weights of various channel schemes under a single channel performance index by using the fuzzy consistency matrix.
4. The method for evaluating the performance of a dual-mode communication access channel for the internet of things of electric power according to claim 3, wherein the priority relation matrix is established by the importance of each factor of the next level to each factor of the previous level, respectively, comprising the steps of: establishing a priority relation matrix according to the relative importance of each factor in the criterion layer to the target layer; and establishing a priority relation matrix through the relative importance of the scheme layer to different factors of the criterion layer.
5. The method for evaluating the performance of a dual-mode communication access channel for the internet of things of electric power according to claim 3, wherein the priority relation matrix F determines the relative relation of two factors by three levels of scales 0, 0.5 and 1, expressed as:
wherein f ij For the related criterion factors determined according to the decision problem and the final target, i is the line sequence number where the factors are located, j is the column sequence number where the factors are located, and n is a positive integer;
summing the two priority relation matrixes, and then carrying out transformation calculation by using the following formula to obtain r ij Obtaining the fuzzy consistency matrix R, which is expressed as:
R＝(r ij ) n×n ；
wherein f ik Is the element of the ith row and the kth column of the priority relation matrix F; r is (r) i Is the sum of elements in the ith row of the priority relation matrix F; r is (r) j Is the sum of the elements of the j th row of the priority relation matrix F.
6. As claimed inThe method for evaluating the performance of a dual-mode communication access channel for the electric power Internet of things according to 1 or 5, wherein the scheme relative weights w of various channel schemes under a single channel performance index are calculated by a method root method i Expressed as:
wherein f ij Is an element in a priority relation matrix F, and n is a positive integer; combining the scheme relative weightsAnd the index relative weight wT obtains the channel quality comprehensive weight W, and the expression is:
wherein,the relative weights are under a single criterion factor for each scheme.
7. The method for evaluating the performance of a dual-mode communication access channel for the internet of things of electric power according to claim 1, wherein the channel performance indexes include any one or more of a signal strength change rate, a network transmission delay and a packet loss rate; a variety of such communication schemes include any one or more of HPLC communication and micropower wireless communication channel types.
8. The method for evaluating the performance of a dual-mode communication access channel for the internet of things of electric power according to claim 7, wherein the calculation formula of the signal strength change rate TROS is:
where rsi is the received signal strength, and w is the transmitting power of the communication module in milliwatts;
the packet loss rate P of the data packet is calculated by the following formula:
wherein N is recv Indicating total number of data packets received by destination node, N send The total number of data packets sent for the current node.
9. The method for evaluating the performance of a dual-mode communication access channel for the electric power internet of things according to claim 1, wherein the channel quality association ranking is performed on a plurality of channel performance indexes according to the channel quality comprehensive weight, and the optimal channel w in a plurality of selectable communication channels is obtained according to the channel quality association ranking, and is expressed as:
wherein z is 1 For optional communication channel w 1 Channel communication quality, z 2 For optional communication channel w 2 Is used for the communication quality of the channel.
10. A dual mode communication access channel performance evaluation system, comprising:
the model building module is used for building an analytic hierarchy model, and the analytic hierarchy model sequentially comprises the following components from top to bottom: the target layer is an optimal channel scheme, the criterion layer is a plurality of channel performance indexes, and the scheme layer is a plurality of channel schemes;
the weight analysis module is used for calculating the scheme relative weights of the single channel performance index in the criterion layer aiming at different channel schemes through a fuzzy analytic hierarchy process;
the weight synthesis module is used for obtaining the index relative weights among the channel performance indexes in the target layer; combining the scheme relative weights and the index relative weights to obtain channel quality comprehensive weights of a plurality of channel performance indexes;
and the channel switching module is used for selecting the optimal channel in the plurality of selectable communication channels according to the channel quality comprehensive weights of the channel performance indexes, and switching to the optimal channel for data transmission.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311127244.1A CN117354847A (en) | 2023-09-01 | 2023-09-01 | Dual-mode communication access channel performance evaluation method and system for electric power Internet of things |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311127244.1A CN117354847A (en) | 2023-09-01 | 2023-09-01 | Dual-mode communication access channel performance evaluation method and system for electric power Internet of things |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN117354847A true CN117354847A (en) | 2024-01-05 |
Family
ID=89356450
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202311127244.1A Pending CN117354847A (en) | 2023-09-01 | 2023-09-01 | Dual-mode communication access channel performance evaluation method and system for electric power Internet of things |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN117354847A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN118053266A (en) * | 2024-03-19 | 2024-05-17 | 中国地质科学院地质力学研究所 | High-order landslide disaster chain monitoring method based on multimode data communication |
-
2023
- 2023-09-01 CN CN202311127244.1A patent/CN117354847A/en active Pending
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN118053266A (en) * | 2024-03-19 | 2024-05-17 | 中国地质科学院地质力学研究所 | High-order landslide disaster chain monitoring method based on multimode data communication |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109947545B (en) | Task unloading and migration decision method based on user mobility | |
| CN104767694B (en) | A kind of stream compression forwarding method towards Fat Tree data center network architectures | |
| CN106304164B (en) | A kind of federated resource distribution method based on energy acquisition cooperation communication system | |
| CN107947878A (en) | A kind of cognitive radio power distribution method based on efficiency and spectrum effect combined optimization | |
| CN103108382A (en) | Heterogeneous network multi-attribute decision-making method based on network analytic hierarchy process | |
| CN105430707A (en) | WSN (Wireless Sensor Networks) multi-objective optimization routing method based on genetic algorithm | |
| CN110348048A (en) | Based on the power distribution network optimal reconfiguration method for considering tropical island effect load prediction | |
| CN112469100A (en) | Hierarchical routing algorithm based on rechargeable multi-base-station wireless heterogeneous sensor network | |
| CN117354847A (en) | Dual-mode communication access channel performance evaluation method and system for electric power Internet of things | |
| CN101777990A (en) | Method for selecting multi-objective immune optimization multicast router path | |
| CN104853399B (en) | Cooperating relay system of selection based on improved Genetic Particle Swarm hybrid algorithm | |
| CN111988796A (en) | Dual-mode communication-based platform area information acquisition service bandwidth optimization system and method | |
| US20230362095A1 (en) | Method for intelligent traffic scheduling based on deep reinforcement learning | |
| CN110381161B (en) | Game theory-based resource scheduling method in power Internet of things system | |
| CN113285832B (en) | NSGA-II-based power multi-mode network resource optimization allocation method | |
| CN109831808A (en) | A kind of resource allocation methods of the hybrid power supply C-RAN based on machine learning | |
| Ren et al. | A new scheme for IoT service function chains orchestration in SDN-IoT network systems | |
| CN105472484A (en) | Wave channel balancing route wavelength allocation method of power backbone optical transport network | |
| CN105704741B (en) | A kind of heterogeneous network access selection method | |
| CN103595652B (en) | The stage division of QoS efficiency in a kind of powerline network | |
| CN111935797B (en) | Dynamic routing method for wireless communication network of low-voltage switch cabinet | |
| CN104618966A (en) | Speed rate allocation method under wireless ubiquitous environment based on terminal cooperation | |
| CN112423361A (en) | Energy balancing method of wireless sensor network | |
| CN115134928B (en) | Wireless Mesh network congestion control method with optimized frequency band route | |
| CN116366459A (en) | Dual-mode service flow distribution method |
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 |