CN112769511B - Interference channel elimination and frequency point distribution method based on narrowband power Internet of things - Google Patents

Interference channel elimination and frequency point distribution method based on narrowband power Internet of things Download PDF

Info

Publication number
CN112769511B
CN112769511B CN202011613307.0A CN202011613307A CN112769511B CN 112769511 B CN112769511 B CN 112769511B CN 202011613307 A CN202011613307 A CN 202011613307A CN 112769511 B CN112769511 B CN 112769511B
Authority
CN
China
Prior art keywords
frequency point
quality
node
frequency
channel
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
CN202011613307.0A
Other languages
Chinese (zh)
Other versions
CN112769511A (en
Inventor
郑敏
陆鹤丹
张雨杨
刘洪�
卞季晨
张涛磊
谭冲
胡群超
陈盼
张明赫
许小磊
贠超
杨晓琨
杜大才
唐培耀
鲍洋
文晓雅
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.)
Shanghai Aoyou Information Technology Co ltd
Original Assignee
Shanghai Aoyou Information Technology Co ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Shanghai Aoyou Information Technology Co ltd filed Critical Shanghai Aoyou Information Technology Co ltd
Priority to CN202011613307.0A priority Critical patent/CN112769511B/en
Publication of CN112769511A publication Critical patent/CN112769511A/en
Application granted granted Critical
Publication of CN112769511B publication Critical patent/CN112769511B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04BTRANSMISSION
    • H04B17/00Monitoring; Testing
    • H04B17/30Monitoring; Testing of propagation channels
    • H04B17/382Monitoring; Testing of propagation channels for resource allocation, admission control or handover
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04BTRANSMISSION
    • H04B17/00Monitoring; Testing
    • H04B17/30Monitoring; Testing of propagation channels
    • H04B17/309Measuring or estimating channel quality parameters
    • H04B17/318Received signal strength
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W24/00Supervisory, monitoring or testing arrangements
    • H04W24/02Arrangements for optimising operational condition
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W24/00Supervisory, monitoring or testing arrangements
    • H04W24/08Testing, supervising or monitoring using real traffic

Abstract

The invention discloses an interference channel elimination and frequency point distribution method based on a narrowband power Internet of things, which comprises the following steps: sequentially testing frequency points between the access node and the sink node according to the existing frequency point list; the main node sends a test packet lasting for one minute, and counts the packet loss rate and calculates the average signal intensity according to the packet return sequence number; evaluating the communication quality of the frequency point between two nodes according to the parameter packet loss rate and the signal strength and generating a frequency point quality table; the method can effectively avoid the node from working in the interference channel, can effectively improve the resource utilization rate of the frequency spectrum, considers the condition that the channel interference conditions around different nodes and the available frequency spectrum resources are different, eliminates the interference channel, can effectively reduce the subsequent algorithm calculated amount and the frequency point testing time, can select the optimal available channel according to the specific conditions of each node, and solves the problem that no available frequency spectrum screening and distribution method exists in the field of narrowband power internet of things.

Description

Interference channel elimination and frequency point distribution method based on narrowband power Internet of things
Technical Field
The invention relates to the technical field of power internet of things, in particular to a method for eliminating interference channels and distributing frequency points based on a narrowband power internet of things.
Background
The ubiquitous power internet of things comprises a sensing layer, a network layer, a platform layer and an application layer, wherein the sensing layer is the basis of the comprehensive sensing of the internet of things, and the power sensing information acquisition and gathering are realized by combining a sensor networking technology through the cooperation of large-scale sensors. With the popularization and development of the smart grid, devices such as sensor terminals, sink nodes and access nodes are deployed on a large scale.
The wireless networking protocol for the node equipment of the Internet of things of the power transmission and transformation equipment is a standard protocol for realizing data uploading of a low-power-consumption wireless sensor and wireless networking among the node equipment, the protocol specifies available frequency spectrum and networking topology of the node equipment of the Internet of things of electric power, the available frequency band of a physical layer is 470-510MHz, the topology structure is a multi-hop tree network, various signal interferences often exist around node deployment, the channel interference conditions and the available frequency spectrum resources around different nodes are different, and the optimal available channel needs to be selected according to the specific conditions of each node.
The method for testing the channel interference situation according to the space energy cannot be applied to the field of narrow-band power wireless networks due to the influence of physical factors, so that no available spectrum screening and distributing method exists in the field of narrow-band power Internet of things.
Disclosure of Invention
The invention aims to provide an interference channel elimination and frequency point distribution method based on a narrowband power internet of things, which considers the condition that the channel interference conditions around different nodes and available frequency spectrum resources are different, eliminates the interference channel, can effectively reduce the subsequent algorithm calculated amount and frequency point testing time, can select the optimal available channel according to the specific conditions of each node, and solves the problem that no available frequency spectrum screening and distribution method exists in the field of narrowband power internet of things.
In order to achieve the purpose, the invention provides the following technical scheme: an interference channel elimination and frequency point distribution method based on a narrowband power Internet of things comprises the following steps:
(1) testing frequency points: sequentially testing frequency points between the access node and the sink node according to the existing frequency point list;
(2) and (3) calculating the signal intensity: the main node sends a test packet lasting for one minute, and counts the packet loss rate and calculates the average signal intensity according to the packet return sequence number;
(3) and (3) generating a quality table: evaluating the communication quality of the frequency point between two nodes according to the parameter packet loss rate and the signal strength and generating a frequency point quality table;
(4) and updating a quality table: removing interference channels according to the communication quality and updating a frequency point quality table;
(5) and (3) repeating feedback: iterating the process in the multi-hop topology;
(6) frequency point allocation: and preferentially distributing the available frequency points according to the frequency point quality table.
Preferably, in the step (1), the frequency point test is started by the network manager sending a scanning instruction, the access node stores a frequency point list, and the access node and the sink node respectively perform corresponding work after receiving the scanning instruction.
Preferably, in the step (1), after receiving the scanning instruction, the access node clears the routing topology and the black list, and after receiving the scanning instruction, the aggregation node clears the black and white list, stops working, and enters a scanning state.
Preferably, in the step (2), the transmitted test packet includes two important fields, namely a number of the loopback packets and a sequence number of the loopback packets, the loopback packets include two important fields, namely an RSSI value and a sequence number of the loopback packets, and the access node counts packet loss rate according to the loopback packet condition and calculates average signal strength.
Preferably, in the step (3), a frequency point test table is provided between each pair of the master device and the slave device that have performed the frequency point test, the packet loss rate and the average signal strength are recorded according to the frequency point test condition, and the frequency point quality is calculated according to a certain proportion of weights.
Preferably, in the step (4), the updating of the frequency point quality table is to remove the frequency points with low channel quality in the table according to the frequency point quality value, so as to generate a simplified frequency point quality table.
Preferably, in the step (4), the reduced frequency point quality table only contains high-quality channel frequency points.
Preferably, in the step (5), the access node and the sink node perform a first round of frequency point test to generate a single-hop topology, and do not perform a second round of frequency point test on other sink nodes in the topology and sink nodes in the single-hop topology to form a multi-hop topology, and if there are nodes that do not access the topology, continue to iterate the process.
Preferably, in the step (6), the multiple frequency point quality tables are collected to the master device, and an optimal frequency point allocation scheme is obtained through a certain algorithm.
Compared with the prior art, the invention has the following beneficial effects:
the method can effectively avoid the node from working in the interference channel, can effectively improve the resource utilization rate of the frequency spectrum, considers the condition that the channel interference conditions around different nodes and the available frequency spectrum resources are different, eliminates the interference channel, can effectively reduce the subsequent algorithm calculation amount and the frequency point testing time, can select the optimal available channel according to the specific conditions of each node, solves the problem that no available frequency spectrum screening and distribution method exists in the field of narrowband power internet of things so far, and is worthy of popularization.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
An interference channel elimination and frequency point distribution method based on a narrowband power Internet of things comprises the following steps:
(1) testing frequency points: sequentially testing frequency points between the access node and the sink node according to the existing frequency point list;
(2) and (3) calculating the signal intensity: the main node sends a test packet lasting for one minute, and counts the packet loss rate and calculates the average signal intensity according to the packet return sequence number;
(3) and (3) generating a quality table: evaluating the communication quality of the frequency point between two nodes according to the parameter packet loss rate and the signal strength and generating a frequency point quality table;
(4) and updating a quality table: removing interference channels according to the communication quality and updating a frequency point quality table;
(5) and (3) repeating feedback: iterating the process in the multi-hop topology;
(6) frequency point allocation: and preferentially distributing the available frequency points according to the frequency point quality table.
The first embodiment is as follows:
an interference channel elimination and frequency point distribution method based on a narrowband power Internet of things comprises the following steps:
(1) testing frequency points: the method comprises the steps that frequency point testing is sequentially carried out between an access node and a sink node according to an existing frequency point list, the frequency point testing is started by a network manager sending a scanning instruction, a frequency point list is stored in the access node, the access node and the sink node respectively carry out corresponding work after receiving the scanning instruction, the access node clears a route topology and a blacklist after receiving the scanning instruction, the sink node clears the blacklist and the blacklist after receiving the scanning instruction, stops working and enters a scanning state;
(2) and (3) calculating the signal intensity: the method comprises the steps that a main node sends a test packet lasting for one minute, the packet loss rate is counted according to a packet returning sequence number, the average signal intensity is calculated, the sent test packet comprises two important fields of the number of the packet returning and the packet returning sequence number, the packet returning comprises two important fields of an RSSI value and the packet returning sequence number, and an access node counts the packet loss rate according to the packet returning condition and calculates the average signal intensity;
(3) and (3) generating a quality table: evaluating the communication quality of the frequency point between two nodes according to the packet loss rate and the signal strength of the parameters and generating a frequency point quality table, wherein a frequency point test table is arranged between each pair of master equipment and slave equipment which are subjected to frequency point test, the packet loss rate and the average signal strength are recorded according to the frequency point test condition, the frequency point quality is calculated according to a certain proportion of weight, and the frequency point quality is used for reflecting the channel quality of the slave equipment in communication with the master equipment at the frequency point;
(4) and updating a quality table: removing interference channels according to the communication quality and updating a frequency point quality table, wherein the updating of the frequency point quality table is to remove frequency points with low channel quality in the table according to the value of the frequency point quality and generate a simplified frequency point quality table, and the simplified frequency point quality table only contains high-quality channel frequency points;
(5) and (3) repeating feedback: iterating the process in the multi-hop topology, generating a single-hop topology after the access node and the sink node perform a first round of frequency point test, not performing a second round of frequency point test on other sink nodes in the topology and sink nodes in the single-hop topology to form the multi-hop topology, and if nodes which do not access the topology exist, continuing iterating the process;
(6) frequency point allocation: and preferentially distributing the available frequency points according to the frequency point quality tables, summarizing a plurality of frequency point quality tables to a main device, and obtaining an optimal frequency point distribution scheme through a certain algorithm.
Example two:
(1) the method comprises the steps that frequency point tests are sequentially carried out between an access node and a sink node according to an existing frequency point list, a network manager issues a frequency point test instruction, a frequency point list is stored in the access node, the access node and the sink node respectively carry out corresponding work after receiving a scanning instruction, the access node clears a route topology and a blacklist after receiving the scanning instruction, the sink node clears the blacklist and stops working after receiving the scanning instruction, and the access node enters a scanning state;
table 1: routing sent by network manager to access node
Figure BDA0002875644100000051
SINEID is an access node ID, and the type of a network layer instruction is 0xD 0;
table 2: routing to paired sink nodes
Figure BDA0002875644100000052
Figure BDA0002875644100000061
The network layer command type of the start command is 0xD2, the network layer command type of the end command is 0xD3, and the network layer command type of the response result is 0 xaa;
(2) the method comprises the steps that a main node sends a test packet lasting for one minute, the packet loss rate is counted and the average signal intensity is calculated according to a packet return sequence number, the sent test packet comprises two important fields of the number of the packet return and the packet return sequence number, the packet return comprises an RSSI value and the packet return sequence number, an access node counts the packet loss rate and calculates the average signal intensity according to the packet return condition, and if the access node cannot receive a registration message for a long time, the frequency point is replaced, and the frequency is deleted from a list;
table 3: test packet format sent downward by access node
Figure BDA0002875644100000062
Table 4: convergence node back-packet format
Figure BDA0002875644100000063
Figure BDA0002875644100000071
(3) Evaluating the communication quality of the frequency point between two nodes according to the parameters of packet loss rate alpha and signal strength beta and generating a frequency point quality table, wherein a frequency point test table is arranged between each pair of master equipment and slave equipment which are subjected to frequency point test, the packet loss rate and the average signal strength are recorded according to the frequency point test condition, the frequency point quality is calculated according to a certain proportion of weight, and the frequency point quality Q is m alpha + n beta; where m + n is 1, and m and n are parameters affecting the packet loss rate α and the signal strength β.
Table 5: frequency point quality table Ai of access node A and sink node i
Available frequency point Packet loss rate α RSSIβ Channel quality Q
470MHz
471MHz
472MHz
··· ··· ··· ···
510MHz
(4) Removing interference channels according to the communication quality and updating a frequency point quality table, wherein the updating of the frequency point quality table is to remove frequency points with low channel quality in the table according to the value of the frequency point quality and generate a simplified frequency point quality table, and the simplified frequency point quality table only contains high-quality channel frequency points;
when the packet loss rate alpha is less than 95%, judging the channel as an interference channel, and rejecting the available frequency point in the table; when the signal strength beta is less than-80 dBm, the channel is judged to be an interference channel, and the available frequency point is removed from the list. And updating the frequency point quality table.
(5) Iterating the process in the multi-hop topology, generating a single-hop topology after the access node and the sink node perform a first round of frequency point test, not performing a second round of frequency point test on other sink nodes in the topology and sink nodes in the single-hop topology to form the multi-hop topology, and if nodes which do not access the topology exist, continuing iterating the process;
and (3) repeating the processes (2), (3) and (4) by taking the sink node i as a main device and other sink nodes as slave devices, summarizing the frequency point test result table carried out by each sink node into a single frequency point quality table i by each sink node, forwarding the single frequency point quality table i to the access node, and distributing the optimal channel frequency point to the sink node by the access node.
(6) Preferentially distributing available frequency points according to the frequency point quality tables, summarizing a plurality of frequency point quality tables to a main device, and obtaining an optimal frequency point distribution scheme through a certain algorithm;
and summarizing a frequency point quality table of one access node according to a plurality of tables Ai, and distributing optimal channel frequency points to the access nodes according to the table A to form an access-aggregation single-hop topology.
The method can effectively avoid the node from working in the interference channel, can effectively improve the resource utilization rate of the frequency spectrum, considers the condition that the channel interference conditions around different nodes and the available frequency spectrum resources are different, eliminates the interference channel, can effectively reduce the subsequent algorithm calculated amount and the frequency point testing time, can select the optimal available channel according to the specific conditions of each node, and solves the problem that no available frequency spectrum screening and distribution method exists in the field of narrowband power internet of things.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.

Claims (1)

1. An interference channel elimination and frequency point distribution method based on a narrowband power Internet of things is characterized in that: the method comprises the following steps:
(1) testing frequency points: sequentially testing frequency points between the access node and the sink node according to the existing frequency point list;
(2) and (3) calculating the signal intensity: the main node sends a test packet lasting for one minute, and counts the packet loss rate and calculates the average signal intensity according to the packet return sequence number;
(3) and (3) generating a quality table: evaluating the communication quality of the frequency point between two nodes according to the parameter packet loss rate and the signal strength and generating a frequency point quality table;
(4) and updating a quality table: removing interference channels according to the communication quality and updating a frequency point quality table;
(5) and (3) repeating feedback: iterating the process in the multi-hop topology;
(6) frequency point allocation: preferentially distributing available frequency points according to the frequency point quality table;
in the step (1), the frequency point test is started by the network manager sending a scanning instruction, the access node stores a frequency point list, and the access node and the sink node respectively perform corresponding work after receiving the scanning instruction;
in the step (1), the access node clears the routing topology and the blacklist after receiving the scanning instruction, and the sink node clears the blacklist and the black list after receiving the scanning instruction, stops working and enters a scanning state;
in the step (2), the transmitted test packet includes two important fields of the number of the returned packets and the sequence number of the returned packets, the returned packets include two important fields of the RSSI value and the sequence number of the returned packets, and the access node counts the packet loss rate and calculates the average signal strength according to the condition of the returned packets;
in the step (3), a frequency point test table is arranged between each pair of master equipment and slave equipment which are subjected to frequency point test, the packet loss rate and the average signal intensity are recorded according to the frequency point test condition, and the frequency point quality is calculated according to a certain proportion of weight;
in the step (4), the frequency point quality table is updated by eliminating the frequency points with low channel quality in the table according to the frequency point quality value to generate a simplified frequency point quality table;
in the step (4), the simplified frequency point quality table only contains high-quality channel frequency points;
in the step (5), the access node and the sink node generate a single-hop topology after the first round of frequency point test is completed, and the second round of frequency point test is not performed on other sink nodes in the topology and sink nodes in the single-hop topology to form a multi-hop topology, and if there are nodes which do not access the topology, the process is continuously iterated;
and (6) summarizing a plurality of frequency point quality tables to the master equipment, and obtaining an optimal frequency point distribution scheme through a certain algorithm.
CN202011613307.0A 2020-12-31 2020-12-31 Interference channel elimination and frequency point distribution method based on narrowband power Internet of things Active CN112769511B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202011613307.0A CN112769511B (en) 2020-12-31 2020-12-31 Interference channel elimination and frequency point distribution method based on narrowband power Internet of things

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202011613307.0A CN112769511B (en) 2020-12-31 2020-12-31 Interference channel elimination and frequency point distribution method based on narrowband power Internet of things

Publications (2)

Publication Number Publication Date
CN112769511A CN112769511A (en) 2021-05-07
CN112769511B true CN112769511B (en) 2022-03-11

Family

ID=75696044

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202011613307.0A Active CN112769511B (en) 2020-12-31 2020-12-31 Interference channel elimination and frequency point distribution method based on narrowband power Internet of things

Country Status (1)

Country Link
CN (1) CN112769511B (en)

Families Citing this family (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112437418B (en) * 2020-07-17 2024-01-30 珠海市杰理科技股份有限公司 TWS equipment communication data configuration method, TWS equipment communication data configuration device, TWS equipment communication data configuration chip and TWS equipment communication data configuration medium
CN117221978B (en) * 2023-09-11 2024-04-30 国网江苏省电力有限公司电力科学研究院 Passive array-assisted data transmission method and device between nodes of electric power Internet of things

Family Cites Families (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103209037B (en) * 2013-03-08 2015-04-29 西安交通大学 Multi-channel collaborative spectrum sensing method based on iterative filtering
CN104684090A (en) * 2013-12-02 2015-06-03 中兴通讯股份有限公司 Method and device for processing communication of wireless network
CN107529688A (en) * 2017-04-10 2018-01-02 华北电力大学(保定) Middle voltage distribution networks power line carrier communication frequency method for optimizing based on channel input reactance
CN110661846A (en) * 2019-08-21 2020-01-07 全球能源互联网研究院有限公司 Ultra-narrow-band power Internet of things communication system and communication method thereof

Also Published As

Publication number Publication date
CN112769511A (en) 2021-05-07

Similar Documents

Publication Publication Date Title
Rad et al. Joint channel allocation, interface assignment and mac design for multi-channel wireless mesh networks
CN108494681B (en) Multilink data stream transmission method, wireless communication device and storage medium
CN112769511B (en) Interference channel elimination and frequency point distribution method based on narrowband power Internet of things
CN102355670B (en) Multichannel wireless mesh network channel distribution method
JP5223300B2 (en) Method, apparatus, and system for generating reuse pattern based on interference level
Tonello et al. Opportunistic relaying in in-home PLC networks
CN108111280A (en) Reference signal configuration, the transmission of information, the method for reseptance and device of information
CN107613555A (en) Non-orthogonal multiple accesses honeycomb and terminal direct connection dense network resource management-control method
CN104717755A (en) Downlink frequency spectrum resource distribution method with D2D technology introduced in cellular network
CN108023698A (en) The method and apparatus for configuring reference signal
CN109362093A (en) The method for optimizing resources of the total throughput maximization of network function virtualization
Kumar et al. A delay efficient MAC and packet scheduler for heterogeneous M2M uplink
CN108834003B (en) Electric power optical carrier communication multidimensional resource distribution optimization method for quantum communication service
CN111935797B (en) Dynamic routing method for wireless communication network of low-voltage switch cabinet
CN107295605B (en) A kind of processing method, device, equipment and the base station of Wireless LAN identification information
Vahidian et al. Power allocation and cooperative diversity in two-way non-regenerative cognitive radio networks
Ningombam et al. Decentralized resource allocation for multicast D2D communications using stochastic geometry
CN116456383A (en) Signal mapping algorithm processing system for wireless network transmission channel
Sarafi et al. Cross-layer resource allocation in medium-voltage broadband over power-line networks
CN113923141B (en) Wireless local area network throughput estimation method and system for high-density AP distribution
KR102209576B1 (en) The method of link scheduling for data processing and the apparatus thereof
CN112217665A (en) Quantitative evaluation method for receiving and transmitting performance of terminal of Internet of things
CN113131971A (en) Networking transmission method and system of power line carrier communication gateway device based on IPv6
CN113747582B (en) Configuration method, device, storage medium and node of beacon time slot area
Amaral et al. Processing resource allocation in 5G fronthaul

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
CB03 Change of inventor or designer information
CB03 Change of inventor or designer information

Inventor after: Zheng Min

Inventor before: Zheng Min

Inventor before: Zhang Minghe

Inventor before: Xu Xiaolei

Inventor before: Chao chao

Inventor before: Yang Xiaokun

Inventor before: Du Dacai

Inventor before: Tang Peiyao

Inventor before: Bao Yang

Inventor before: Wen Xiaoya

Inventor before: Lu Hedan

Inventor before: Zhang Yuyang

Inventor before: Liu Hong

Inventor before: Bian Jichen

Inventor before: Zhang Taolei

Inventor before: Tan Chong

Inventor before: Hu Qunchao

Inventor before: Chen Pan