CN114867082B - Large-scale electric power internet of things equipment unauthorized access system and method - Google Patents
Large-scale electric power internet of things equipment unauthorized access system and method Download PDFInfo
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- CN114867082B CN114867082B CN202210333956.8A CN202210333956A CN114867082B CN 114867082 B CN114867082 B CN 114867082B CN 202210333956 A CN202210333956 A CN 202210333956A CN 114867082 B CN114867082 B CN 114867082B
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Classifications
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W40/00—Communication routing or communication path finding
- H04W40/24—Connectivity information management, e.g. connectivity discovery or connectivity update
- H04W40/32—Connectivity information management, e.g. connectivity discovery or connectivity update for defining a routing cluster membership
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W52/00—Power management, e.g. TPC [Transmission Power Control], power saving or power classes
- H04W52/02—Power saving arrangements
- H04W52/0209—Power saving arrangements in terminal devices
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W74/00—Wireless channel access, e.g. scheduled or random access
- H04W74/08—Non-scheduled or contention based access, e.g. random access, ALOHA, CSMA [Carrier Sense Multiple Access]
- H04W74/0833—Non-scheduled or contention based access, e.g. random access, ALOHA, CSMA [Carrier Sense Multiple Access] using a random access procedure
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/70—Services for machine-to-machine communication [M2M] or machine type communication [MTC]
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D30/00—Reducing energy consumption in communication networks
- Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks
Abstract
The invention discloses a large-scale electric power Internet of things equipment unauthorized access system and a method, wherein the system comprises a plurality of Internet of things equipment large groups, each Internet of things equipment large group comprises a plurality of equipment clusters, each equipment cluster is respectively provided with a cluster head node equipment and at least one cluster member equipment, the cluster member equipment is accessed to other Internet of things equipment through the cluster head node equipment for communication, and data interaction is carried out between the cluster member equipment and the cluster head node equipment in a D2D mode; in each equipment cluster, the cluster head node equipment is the equipment of the Internet of things with the minimum energy consumption in the current equipment cluster; the cluster head node device is configured to: receiving original data sent by cluster member equipment; carrying out correlation analysis and processing on the received data to obtain effective data; performing cascade coding on the effective data; and selecting a plurality of time slots to repeatedly transmit the cascade coded data. The method and the device can reduce the transmission power and protocol overhead required by the access and transmission of the Internet of things equipment, and remarkably reduce the equipment power consumption.
Description
Technical Field
The invention relates to the technical field of electric power internet of things communication, in particular to an unauthorized random access system and method for large-scale electric power internet of things equipment.
Background
The electric power internet of things is application of the internet of things in the intelligent power grid, infrastructure resources of electric power and a communication system can be effectively integrated, the informatization level of the intelligent power grid is improved, the utilization efficiency of the existing infrastructure in the intelligent power grid is improved, and important technical support is provided for links such as power grid generation, power transmission, power transformation, power distribution and power consumption.
The large-scale machine communication system with the characteristics of huge number of terminal equipment, wide coverage, short transmission data packet, sparseness of active users, strong sporadic property and sparseness of communication service and the like is formed by accessing a large number of Internet of things equipment. The traditional access method uses a random access (grant-based random access, GB-RA) mode based on an authorization under a long term evolution (long term evolution, LTE) framework, and the random access characteristic of equipment under a large-scale Internet of things scene is that collision probability fluctuation is extremely large, busy and idle are busy and idle; the payload is too low and the random access overhead is very high. In order to reduce random access overhead and thus device power consumption, much research has focused on improving the grant-based random access method, researching the semi-grant-free random access method, and researching the grant-free random access (GF-RA) method. Although there is a great progress in the study in the first two directions, performance in terms of reducing signaling overhead and reducing access collisions is still inferior to the unlicensed random access method.
The unlicensed random access may be classified into a coordinated unlicensed random access and a unlicensed random access. At present, the unlicensed random access method based on the compressed sensing technology is deeply researched in the coordinated unlicensed random access, and the detection of active equipment and the estimation of channel state can be completed simultaneously through the compressed sensing technology, so that unlicensed random access is realized. But the data transmission capability of the method is poor, and the accuracy of a signal recovery algorithm serving as the technical core of the method is low.
The uncoordinated unlicensed random access method widely studied at present is a URA method based on a T-fold ALOHA protocol. The method comprises a cascade coding structure, wherein a transmitting end firstly uses an overlapped code (SC) as an Outer Code (OC) to implement first-stage coding on original data, and secondly uses a linear binary code (linear binary code, LBC) as an Inner Code (IC) to implement second-stage coding on the coded result; then the transmitting end randomly selects a plurality of time slots to repeatedly transmit the encoded data, and the decoder of the receiving end sequentially carries out inner code decoding and outer code decoding to recover the original data, thereby completing random access and data transmission. Because of the use of the overlap code, T data packets can be transmitted at most simultaneously on each slot, reducing the probability of decoding failure due to collisions and interference.
The T-fold ALOHA protocol utilizes the overlapped code to improve the data carrying capacity of each time slot, but the T value which can be realized by the existing protocol is not large, so that the probability and the interference of collision are not small, and the detection reliability of a receiving end is affected. Although the protocol almost realizes zero overhead of random access, the coding and decoding complexity is high, and by combining a new framework or a new technology, a certain improvement space is still provided in the aspect of reducing the power consumption of equipment access and transmission.
Disclosure of Invention
The invention aims to provide a large-scale power internet of things equipment unauthorized access system and method, which can reduce the transmission power and protocol overhead required by internet of things equipment access and transmission, thereby obviously reducing equipment power consumption. The technical scheme adopted by the invention is as follows.
In one aspect, the invention provides a large-scale power internet of things equipment unlicensed access system, which comprises a receiving forwarding end and a plurality of internet of things equipment clusters, wherein each internet of things equipment cluster comprises a plurality of equipment clusters, each equipment cluster is respectively provided with a cluster head node equipment and at least one cluster member equipment, the cluster member equipment is accessed to the internet of things through the cluster head node equipment, and data interaction is performed between the cluster member equipment and the cluster head node equipment in a D2D mode;
the cluster head node device is configured to:
receiving original data sent by cluster member equipment;
carrying out correlation analysis and processing on the received data to obtain effective data;
performing cascade coding on the effective data;
selecting a plurality of time slots to repeatedly send the cascade coded data packet to the receiving and forwarding terminal;
the receiving and forwarding end is configured to:
receiving data sent by each cluster head node device;
decoding the received data to obtain original data;
forwarding the original data.
Optionally, the geographic locations of the internet of things devices in the single internet of things device group are close, and/or the functional types are the same or similar;
the internet of things devices in a single device cluster are geographically close and have similar liveness. In general, devices that are geographically adjacent and have similar functionality will also have similar liveness.
In the above scheme, the grouping and clustering of the internet of things devices can be performed by devices capable of providing random access functions for the internet of things devices, such as a wireless router or a base station, that is, the receiving and forwarding end, and the grouping and clustering are performed in advance, and unless the position or the function of the subsequent internet of things device changes, the member composition of the large group and the cluster of each internet of things device is unchanged.
Optionally, in each device cluster, the cluster head node device is an internet of things device conforming to a preset minimum energy consumption rule in a current fixed-length period in the device cluster;
the preset minimum energy consumption rule is as follows: in the current fixed-length period, the minimum comprehensive energy consumption is realized in all the Internet of things equipment capable of completing all the data transmission tasks in the cluster;
the comprehensive energy consumption is the energy consumption required by the Internet of things equipment to complete all data transmission tasks of members in the cluster in the current fixed-length period, and the factors influencing the comprehensive energy consumption at least comprise the residual electric quantity of the equipment, the data quantity to be transmitted in the cluster and the distance between the equipment and the receiving and transmitting end.
Optionally, the method for selecting cluster head node equipment includes:
periodically acquiring the data quantity and the residual electric quantity to be transmitted of each Internet of things device in a single device cluster and the distance between the device and a receiving and transmitting end;
according to the periodically acquired data, calculating the total data quantity to be transmitted of the current equipment cluster and the energy consumption required by each cluster of the internet of things equipment to execute the current periodic data transmission task;
taking the Internet of things equipment with the minimum energy consumption as cluster head node equipment, and sending cluster head node selection result information to the corresponding intra-cluster Internet of things equipment;
and the internet of things equipment which receives the cluster head node selection result information interacts with the cluster member equipment through the cluster head node equipment identity.
Optionally, the selecting of the cluster head node device is performed by an internet of things device having a cluster head node device identity in real time;
the receiving and forwarding end is a router or a base station; each internet of things device is respectively in communication connection with the receiving and forwarding end at the physical layer. The initial cluster head node can be randomly selected and notified by the receiving and forwarding end, and the internet of things equipment identified as the cluster head node interacts with the cluster member equipment, so that the cluster member equipment can know the current cluster head node equipment.
Optionally, the cluster head node device performs correlation analysis and processing on the received data to obtain valid data, including: removing redundant repeated information;
the cluster head node equipment performs cascade coding on the effective data, and the method comprises the following steps:
the method comprises the steps that an external code is used for carrying out first-stage coding on effective data, so that a receiving and transmitting end can identify and separate data packets sent by different cluster head node devices according to the first-stage coding;
performing second-stage encoding on the data after the first-stage encoding by using an inner code;
the outer code is an LDPC code or a BCH code, and the inner code is an LBC code, a polarization code or an LDPC code. The data are encoded by these encoding methods, respectively, as in the prior art. In the invention, the second level of coding can reduce the negative gain of the signal at the receiving end caused by channel fading.
And after receiving the data packet sent by each cluster head node, the receiving and forwarding end decodes the data packet in a decoding mode corresponding to the coding mode to obtain the original data.
Optionally, when the cluster head node selects a plurality of time slots to repeat for a plurality of times to send the data packet after cascade coding to the receiving and forwarding end, the time slots selected by different cluster head nodes in the same internet of things equipment group are in adjacent time slot intervals. Repeated transmission of data packets in multiple time slots can increase the decoding success rate of the receiving and forwarding end.
In a second aspect, the invention provides an authorization-free access method for large-scale electric power internet of things equipment, the large-scale electric power internet of things equipment is divided into a plurality of internet of things equipment large groups, each internet of things equipment large group comprises a plurality of equipment clusters, and each equipment cluster is respectively provided with a cluster head node device and at least one cluster member device; the method is performed by the cluster head node device and comprises the following steps:
receiving original data sent by cluster member equipment;
carrying out correlation analysis and processing on the received data to obtain effective data;
performing cascade coding on the effective data;
and selecting a plurality of time slots to repeat for a plurality of times, and sending the cascade coded data packet to the receiving and forwarding end.
Optionally, the method further comprises:
periodically acquiring the data quantity and the residual electric quantity to be transmitted of each Internet of things device in the device cluster, and the distance between the device and the receiving and transmitting end;
according to the periodically acquired data, calculating the total data quantity to be transmitted of the current equipment cluster and the energy consumption required by each cluster of the internet of things equipment to execute the current periodic data transmission task;
and taking the Internet of things equipment with the minimum energy consumption as cluster head node equipment, and sending cluster head node selection result information to the corresponding Internet of things equipment, so that cluster member equipment which receives the cluster head node selection result information can interact with the cluster member equipment by the identity of the cluster head node equipment.
Advantageous effects
The invention provides a low-overhead authorization-free random access mode of large-scale electric power Internet of things equipment, which simplifies the random access and transmission of the Internet of things equipment by combining a clustering technology and a non-user identification random access technology, avoids a large amount of control signaling overhead, improves the detection reliability of a receiving end, and simultaneously can effectively improve the data transmission capability and reduce the transmission power and protocol overhead required by the access and transmission of the Internet of things equipment, thereby obviously reducing the power consumption of the equipment.
Drawings
Fig. 1 is a flow chart of random access and transmission;
FIG. 2 is a schematic diagram of cluster and cluster partitioning;
fig. 3 is a schematic diagram of the principle of concatenated coding and data transmission.
Detailed Description
Further description is provided below in connection with the drawings and the specific embodiments.
Random access (unsourced random access, URA) with no user identification, also called random access code (random access code, RAC) technology, is used as a non-coordinated unlicensed large-scale random access method, does not need to perform active equipment detection and channel estimation, can effectively complete access and transmission in one step, and almost realizes zero overhead of random access control signaling.
The technical conception of the invention is as follows: the method combines the detection of active equipment and the transmission of effective data into a coding and decoding problem by combining a clustering technology and a non-user identification random access technology considering content correlation, simplifies the random access and transmission of the equipment of the Internet of things, avoids a large amount of control signaling overhead, fully considers the correlation of the content sent by the equipment of the Internet of things, effectively improves the data transmission capability while improving the detection reliability of a receiving end, and reduces the transmission power and protocol overhead required by the access and transmission of the equipment of the Internet of things, thereby obviously reducing the power consumption of the equipment.
Example 1
The embodiment introduces a large-scale power internet of things equipment unauthorized access system, which comprises a receiving and forwarding end and a plurality of internet of things equipment clusters, wherein each internet of things equipment cluster comprises a plurality of equipment clusters, each equipment cluster is respectively provided with a cluster head node equipment and at least one cluster member equipment, the cluster member equipment is accessed into the internet of things through the cluster head node equipment, and data interaction is performed between the cluster member equipment and the cluster head node equipment in a D2D mode. The receiving and forwarding end is a device capable of providing a random access function for the internet of things device, such as a base station or a wireless router in fig. 2. Each internet of things device is respectively in communication connection with the receiving and forwarding end at the physical layer.
Referring to fig. 2, in the system, the internet of things devices in a single internet of things device group are internet of things devices with close geographic locations, or are internet of things devices with the same or similar function types, or are internet of things devices with close geographic locations and the same or similar function types.
The internet of things devices in a single device cluster are geographically close and have similar liveness. In general, devices that are geographically adjacent and have similar functionality will also have similar liveness.
Referring to fig. 1, the grouping and clustering of the devices of the internet of things may be performed by devices capable of providing random access functions for the devices of the internet of things, such as a wireless router or a base station, i.e., the above-mentioned receiving and forwarding end, and are divided in advance, and unless the location or functions of the subsequent devices of the internet of things change, the member composition of the large groups and clusters of the devices of the internet of things is unchanged.
In each device cluster, the initial cluster head node device can be randomly designated by a receiving and forwarding end, after the system formally operates, the real-time cluster head node device executes the update designation logic of the cluster head node device, and the updated cluster head node is the Internet of things device which accords with the preset minimum energy consumption rule in a fixed-length time period from the current moment to the back in the device cluster;
the preset minimum energy consumption rule is as follows: in the current fixed-length period, the minimum comprehensive energy consumption is realized in all the Internet of things equipment capable of completing all the data transmission tasks in the cluster;
the comprehensive energy consumption is the energy consumption required by the Internet of things equipment to complete all data transmission tasks of members in the cluster in the current fixed-length period, and the factors influencing the comprehensive energy consumption at least comprise the residual electric quantity of the equipment, the data quantity to be transmitted in the cluster and the distance between the equipment and the receiving and transmitting end.
The internet of things equipment with the cluster head node equipment identity can periodically execute the cluster head node equipment updating logic, and specifically, the new cluster head node equipment selection method comprises the following steps:
periodically acquiring the data quantity to be transmitted, the residual electric quantity and the distance between the equipment and a receiving and transmitting end of each Internet of things equipment in a single equipment cluster;
according to the periodically acquired data, calculating the total data quantity to be transmitted of the current equipment cluster and the energy consumption required by each cluster of the internet of things equipment to execute the current periodic data transmission task;
taking the Internet of things equipment with the minimum energy consumption as cluster head node equipment, and sending cluster head node selection result information to the corresponding intra-cluster Internet of things equipment;
and the internet of things equipment which receives the cluster head node selection result information interacts with the cluster member equipment through the cluster head node equipment identity. If the cluster head node equipment needs to be updated, the new cluster head node equipment executes the transmission task of the data to be transmitted. The internet of things device identified as the cluster head node actively interacts with the cluster member device, and the cluster member device may be aware of the current cluster head node device.
The process of exchanging data and processing the data between the cluster head node equipment and the cluster member equipment comprises the following steps:
receiving original data sent by cluster member equipment;
carrying out correlation analysis and processing on the received data to obtain effective data;
performing cascade coding on the effective data;
and selecting a plurality of time slots to repeat for a plurality of times, and sending the cascade coded data packet to the receiving and forwarding end.
After determining the cluster head node equipment, the cluster member equipment can keep an inactive sleep state when no data needs to be sent, and when data needs to be sent, the original data is sent to the cluster head node through D2D (device-to-device) communication, and the data can be data which any Internet of things equipment needs to interact with other equipment in the network or can be data which the equipment needs to send to a cloud or a server. And the cluster head node equipment eliminates redundant and repeated information according to the content correlation among the data sent by the different cluster member equipment to obtain effective data.
The cluster head node device performs concatenated coding on the valid data, and referring to fig. 3, includes:
the method comprises the steps that an external code is used for carrying out first-stage coding on effective data, so that a receiving and transmitting end can identify and separate data packets sent by different cluster head node devices according to the first-stage coding; the outer code may be an LDPC code or a BCH code;
and performing second-stage coding on the data after the first-stage coding by using the inner code so as to reduce the negative gain of the signal at the receiving end caused by channel fading. The inner code may be an LBC code, a polarization code, or an LDPC code. The data are encoded by these encoding methods, respectively, as in the prior art.
And after receiving the data packet sent by each cluster head node, the receiving and forwarding end decodes the data packet in a decoding mode corresponding to the coding mode to obtain the original data.
In this embodiment, cascade coding refers to coding data twice, for example, after the cluster head node receives data of all cluster members, performing first-stage coding on effective data by adopting a multi-system LDPC coding mode, and then performing second-stage coding on data obtained after the first-stage coding by adopting a BCH coding mode. The data before the first stage of encoding is a codeword containing s bits of information, and an output codeword c, sg=c, c= (s, p) is obtained according to a generator matrix G, where s is an information bit, p is a check bit, the generator matrix G satisfies HG ζ=0, and h is a check matrix. The specific matrix H and G are all detailed parts of LDPC codes, and the related research is quite rich and is not repeated here. The second-stage encoding is similar to the first-stage encoding, the data before BCH encoding is an output codeword c of the first-stage encoding, and the output codeword after the second-stage encoding is b, b= (c, q), where c is an information bit of the BCH code, and q is a check bit. The studies on BCH coding in particular are also well established and will not be described in detail here.
After cascade coding is completed, when the cluster head node selects a plurality of time slots to repeatedly send the cascade coded data packet to the receiving and forwarding end, the time slots selected by different cluster head nodes in the same Internet of things equipment group are in adjacent time slot intervals. Repeated transmission of data packets in multiple time slots can increase the decoding success rate of the receiving and forwarding end.
The adjacent time slot interval is, for example, if the time slot is marked with a sequence number: 1,2,3,4,5,6,7,8,9, 10,...,50,.... Then [2,3,4,5,6] and [7,8,9, 10, 11, 12, 13] are adjacent slot intervals. The cluster head node can select the specific time slot interval size and whether to select the earlier time slot interval (such as [2,3,4,5,6 ]) or the later time slot interval (such as [50, 51, 52, 53, 54 ]). The selection of slots is random, which is a precondition that each cluster will first select a slot interval (e.g., [1,2,., 100 ]), within which all active cluster head nodes within the cluster will select, e.g., cluster head node a will select slot 1 and slot 3, cluster head node b will select slot 10 and slot 18, and a cluster head node x within another cluster will select slot 572 and slot 598 (it can be seen that the two slot intervals of [1-3] and [10-18] are adjacent).
Meanwhile, as a plurality of cluster heads can select the same time slot to transmit data, the mutual interference among the data is caused, and the first-stage coding realized by cascade coding, namely the outer code, can eliminate the interference, so that a receiving and transmitting end can separate messages transmitted by different cluster head node devices from received signals.
When receiving data sent by cluster head node equipment, a receiving and forwarding end decodes the received data to obtain original data, and forwards the original data, so that the unauthorized random access of the internet of things equipment can be realized.
Example 2
The embodiment introduces an unlicensed access method for large-scale electric power internet of things equipment, for example, the large-scale electric power internet of things equipment of fig. 2 is divided into a plurality of internet of things equipment groups, each internet of things equipment group comprises a plurality of equipment clusters, and each equipment cluster is respectively provided with a cluster head node device and at least one cluster member device; the method is performed by the cluster head node device, referring to fig. 1, the method comprises:
receiving original data sent by cluster member equipment;
carrying out correlation analysis and processing on the received data to obtain effective data;
performing cascade coding on the effective data;
and selecting a plurality of time slots to repeat for a plurality of times, and sending the cascade coded data packet to the receiving and forwarding end.
In order to achieve updating of cluster head node devices, so as to always keep the minimum data interaction forwarding energy consumption of a single device cluster, the method of the embodiment further includes:
periodically acquiring the data quantity and the residual electric quantity to be transmitted of each Internet of things device in the device cluster, and the distance between the device and the receiving and transmitting end;
according to the periodically acquired data, calculating the total data quantity to be transmitted of the current equipment cluster and the energy consumption required by each cluster of the internet of things equipment to execute the current periodic data transmission task;
and taking the Internet of things equipment with the minimum energy consumption as cluster head node equipment, and sending cluster head node selection result information to the corresponding Internet of things equipment, so that cluster member equipment which receives the cluster head node selection result information can interact with the cluster member equipment by the identity of the cluster head node equipment.
In summary, the method and the device can effectively improve the data transmission capability and reduce the transmission power and protocol overhead required by the access and transmission of the Internet of things equipment, thereby obviously reducing the power consumption of the equipment and the system.
It will be appreciated by those skilled in the art that embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The embodiments of the present invention have been described above with reference to the accompanying drawings, but the present invention is not limited to the above-described embodiments, which are merely illustrative and not restrictive, and many forms may be made by those having ordinary skill in the art without departing from the spirit of the present invention and the scope of the claims, which are all within the protection of the present invention.
Claims (7)
1. The large-scale power internet of things equipment unauthorized access system is characterized by comprising a receiving forwarding end and a plurality of internet of things equipment groups, wherein each internet of things equipment group comprises a plurality of equipment clusters, each equipment cluster is respectively provided with a cluster head node equipment and at least one cluster member equipment, the cluster member equipment is accessed to the internet of things through the cluster head node equipment, and data interaction is carried out between the cluster member equipment and the cluster head node equipment in a D2D mode;
the cluster head node device is configured to:
receiving original data sent by cluster member equipment;
carrying out correlation analysis and processing on the received data to obtain effective data;
performing cascade coding on the effective data;
selecting a plurality of time slots to repeatedly send the cascade coded data packet to the receiving and forwarding terminal;
the receiving and forwarding end is configured to:
receiving data sent by each cluster head node device;
decoding the received data to obtain original data;
forwarding the original data;
the method comprises the steps that a plurality of time slots are selected to repeatedly send data packets after cascade coding to a receiving and forwarding end, wherein the time slots selected by different cluster head nodes in the same Internet of things equipment group are in adjacent time slot intervals;
the method for selecting the time slot interval comprises the following steps: each large group of the Internet of things equipment firstly selects a time slot interval, and all active cluster head nodes in the large group select adjacent time slot intervals in the time slot interval;
in each equipment cluster, the cluster head node equipment is Internet of things equipment which accords with a preset minimum energy consumption rule in the current fixed-length period in the equipment cluster;
the preset minimum energy consumption rule is as follows: in the current fixed-length period, the minimum comprehensive energy consumption is realized in all the Internet of things equipment capable of completing all the data transmission tasks in the cluster;
the comprehensive energy consumption is the energy consumption required by the equipment of the Internet of things for completing all data transmission tasks of members in the cluster in the current fixed-length period, and the factors influencing the comprehensive energy consumption at least comprise the residual electric quantity of the equipment, the data quantity to be transmitted in the cluster and the distance between the equipment and a receiving and forwarding end;
the selection of the cluster head node equipment is performed by the real-time Internet of things equipment with the cluster head node equipment identity, and the selection method of the cluster head node equipment comprises the following steps:
periodically acquiring the data quantity and the residual electric quantity to be transmitted of each Internet of things device in a single device cluster and the distance between the device and a receiving and transmitting end;
according to the periodically acquired data, calculating the total data quantity to be transmitted of the current equipment cluster and the energy consumption required by each cluster of the internet of things equipment to execute the current periodic data transmission task;
taking the Internet of things equipment with the minimum energy consumption as cluster head node equipment, and sending cluster head node selection result information to the corresponding Internet of things equipment;
and the internet of things equipment which receives the cluster head node selection result information interacts with the cluster member equipment according to the cluster head node selection result information by the cluster head node equipment identity.
2. The large-scale power internet of things device unlicensed access system of claim 1, wherein the internet of things devices in a single internet of things device cluster are geographically close and/or are the same or similar in function type;
the internet of things devices in a single device cluster are geographically close and have similar liveness.
3. The large-scale power internet of things equipment unlicensed access system according to claim 1, wherein the receiving and forwarding end is a router or a base station; each internet of things device is respectively in communication connection with the receiving and forwarding end at the physical layer.
4. The unlicensed access system for large-scale power internet of things equipment according to claim 1, wherein the cluster head node equipment performs correlation analysis and processing on the received data to obtain valid data, and the unlicensed access system comprises: and eliminating redundant repeated information.
5. The unlicensed access system for large-scale power internet of things devices according to claim 1, wherein the cluster head node device performs cascade encoding on the valid data, and the method comprises:
the method comprises the steps that an external code is used for carrying out first-stage coding on effective data, so that a receiving and transmitting end can identify and separate data packets sent by different cluster head node devices according to the first-stage coding;
performing second-stage encoding on the data after the first-stage encoding by using an inner code;
the outer code is an LDPC code or a BCH code, and the inner code is an LBC code, a polarization code or an LDPC code.
6. A method for unlicensed access of large-scale electric power internet of things equipment of the unlicensed access system of large-scale electric power internet of things equipment according to any one of claims 1-5, wherein the large-scale electric power internet of things equipment is divided into a plurality of internet of things equipment large groups, each internet of things equipment large group comprises a plurality of equipment clusters, and each equipment cluster is respectively provided with a cluster head node equipment and at least one cluster member equipment; the method is executed by the cluster head node equipment and is characterized by comprising the following steps:
receiving original data sent by cluster member equipment;
carrying out correlation analysis and processing on the received data to obtain effective data;
performing cascade coding on the effective data;
and selecting a plurality of adjacent time slot intervals in the selected time slot intervals of the large group of the Internet of things equipment, and repeatedly sending the cascade coded data packet to the receiving and forwarding terminal.
7. The unlicensed access method for large-scale power internet of things devices according to claim 6, further comprising:
periodically acquiring the data quantity and the residual electric quantity to be transmitted of each Internet of things device in the device cluster, and the distance between the device and the receiving and transmitting end;
according to the periodically acquired data, calculating the total data quantity to be transmitted of the current equipment cluster and the energy consumption required by each cluster of the internet of things equipment to execute the current periodic data transmission task;
and taking the Internet of things equipment with the minimum energy consumption as cluster head node equipment, and sending cluster head node selection result information to the corresponding Internet of things equipment, so that cluster member equipment which receives the cluster head node selection result information can interact with the cluster member equipment by the identity of the cluster head node equipment.
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