CN113179142A - Network scheduling system for self-adaptive channel selection - Google Patents
Network scheduling system for self-adaptive channel selection Download PDFInfo
- Publication number
- CN113179142A CN113179142A CN202110450409.3A CN202110450409A CN113179142A CN 113179142 A CN113179142 A CN 113179142A CN 202110450409 A CN202110450409 A CN 202110450409A CN 113179142 A CN113179142 A CN 113179142A
- Authority
- CN
- China
- Prior art keywords
- channel
- hopping sequence
- quality
- channel selection
- module
- 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
- 238000013441 quality evaluation Methods 0.000 claims abstract description 16
- 238000011156 evaluation Methods 0.000 claims abstract description 4
- 238000005070 sampling Methods 0.000 claims description 9
- 230000005540 biological transmission Effects 0.000 claims description 7
- 230000003044 adaptive effect Effects 0.000 claims description 5
- 238000005259 measurement Methods 0.000 claims description 5
- 238000000034 method Methods 0.000 claims description 4
- 230000000717 retained effect Effects 0.000 claims description 3
- 238000011144 upstream manufacturing Methods 0.000 claims description 3
- 238000001303 quality assessment method Methods 0.000 claims 4
- 238000004891 communication Methods 0.000 description 5
- 238000005516 engineering process Methods 0.000 description 4
- 238000009776 industrial production Methods 0.000 description 3
- 238000004519 manufacturing process Methods 0.000 description 3
- 206010063385 Intellectualisation Diseases 0.000 description 1
- 238000004458 analytical method Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000005265 energy consumption Methods 0.000 description 1
- 238000010295 mobile communication Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
Images
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B17/00—Monitoring; Testing
- H04B17/30—Monitoring; Testing of propagation channels
- H04B17/309—Measuring or estimating channel quality parameters
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16Y—INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
- G16Y10/00—Economic sectors
- G16Y10/75—Information technology; Communication
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16Y—INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
- G16Y40/00—IoT characterised by the purpose of the information processing
- G16Y40/10—Detection; Monitoring
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B1/00—Details of transmission systems, not covered by a single one of groups H04B3/00 - H04B13/00; Details of transmission systems not characterised by the medium used for transmission
- H04B1/69—Spread spectrum techniques
- H04B1/713—Spread spectrum techniques using frequency hopping
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B17/00—Monitoring; Testing
- H04B17/30—Monitoring; Testing of propagation channels
- H04B17/309—Measuring or estimating channel quality parameters
- H04B17/318—Received signal strength
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B17/00—Monitoring; Testing
- H04B17/30—Monitoring; Testing of propagation channels
- H04B17/382—Monitoring; Testing of propagation channels for resource allocation, admission control or handover
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W72/00—Local resource management
- H04W72/04—Wireless resource allocation
- H04W72/044—Wireless resource allocation based on the type of the allocated resource
- H04W72/0453—Resources in frequency domain, e.g. a carrier in FDMA
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W72/00—Local resource management
- H04W72/50—Allocation or scheduling criteria for wireless resources
- H04W72/54—Allocation or scheduling criteria for wireless resources based on quality criteria
- H04W72/542—Allocation or scheduling criteria for wireless resources based on quality criteria using measured or perceived quality
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W84/00—Network topologies
- H04W84/18—Self-organising networks, e.g. ad-hoc networks or sensor networks
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D30/00—Reducing energy consumption in communication networks
- Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks
Landscapes
- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Quality & Reliability (AREA)
- Electromagnetism (AREA)
- Physics & Mathematics (AREA)
- Computing Systems (AREA)
- Economics (AREA)
- General Business, Economics & Management (AREA)
- Development Economics (AREA)
- Accounting & Taxation (AREA)
- Business, Economics & Management (AREA)
- Mobile Radio Communication Systems (AREA)
Abstract
The invention relates to a network scheduling system for self-adaptive channel selection, which comprises a channel quality evaluation module and a channel selection module, wherein the channel quality evaluation module evaluates the quality of each channel and provides an estimation result of the quality of a candidate channel, and the channel selection module determines whether to update a frequency hopping sequence based on the estimation of the quality of the candidate channel provided by the channel evaluation module. The invention aims to improve the operation efficiency or the service quality of an industrial IowAN (Internet of things) -oriented 6LoWPAN (Low-way personal area network) network, so as to meet the relevant performance requirements of an industrial wireless sensor network in an industrial IowAN application scene, and provide a network scheduling system for self-adaptive channel selection.
Description
Technical Field
The invention relates to the technical field of communication of the Internet of things, in particular to a network scheduling system for self-adaptive channel selection.
Background
Industrial internet of things (IIoT) means that various intelligent terminals with sensing and monitoring capabilities and emerging technologies such as ubiquitous technologies, mobile communications, intelligent analysis and the like are continuously integrated into each link of an industrial production process, and finally a new stage that a traditional industrial production mode is increased to intellectualization is achieved. By applying the industrial Internet of things, the advanced Internet of things technology and the traditional industry are combined, so that the industrial manufacturing efficiency can be obviously improved, the production cost and energy consumption can be reduced, the emission of pollution can be reduced, and the industrial intelligent production can be finally realized. Industrial internet of things has been widely used in more and more application fields, and the application forms of the industrial internet of things are continuously expanded.
The need and challenge for mutual access between the internet and the internet of things has led to the emergence of the 6LoWPAN (IPv6overLow-powerWPAN) standard, and IPv6 has tended to replace IPv 4. The requirement of the development of the internet of things technology on network addresses further promotes the application and popularization of the IPv 6. The 6LoWPAN combines IPv6 and WSN, has better adaptability and universality, and has wide application in industrial Internet of things.
The industrial production environment faced by the industrial wireless sensor network is very complex and various, and the application field of the industrial wireless sensor network has higher requirements on real-time performance, network anti-interference capability and the like. The network scheduling method adopted in the industrial wireless sensor network has direct influence on the network performance. Therefore, it is required to improve the operation efficiency or service quality of the industrial internet of things oriented 6LoWPAN network so as to meet the relevant performance requirements of the industrial wireless sensor network in the industrial internet of things application scenario.
Disclosure of Invention
The invention aims to overcome the defects in the prior art, improve the operation efficiency or service quality of a 6LoWPAN network facing industrial Internet of things, meet the relevant performance requirements of an industrial wireless sensor network under the application scene of the industrial Internet of things, and provide a network scheduling system for self-adaptive channel selection.
The invention is realized by the following technical scheme:
a network scheduling system with adaptive channel selection comprises a channel quality evaluation module and a channel selection module, wherein the channel quality evaluation module evaluates the quality of each channel and provides an estimation result of the quality of a candidate channel, and the channel selection module determines whether to update a frequency hopping sequence based on the estimation of the quality of the candidate channel provided by the channel evaluation module.
In order to further implement the present invention, the following technical solutions may be preferably selected:
preferably, the network scheduling system further includes a wireless transmission medium, and the wireless transmission medium is a physical channel for wireless transmission.
Preferably, the channel quality evaluation module selects a metric RSSI showing a channel energy level as a standard for channel quality evaluation, and models the channel quality by an EWMA method to give an estimate of the channel quality.
Preferably, when the channel selection module determines to update the frame hopping sequence, the channel selection module selects a suitable channel from the candidate channels to replace the channel to be replaced in the frequency hopping sequence, thereby completing the selection of the channel. The updating mode of the channel frequency hopping sequence is based on the updating of the upstream node, namely when the frequency hopping sequence of the father node changes, the changed frequency hopping sequence is transmitted to the downstream node through the EB beacon, and the updating of the frequency hopping sequence is completed.
Preferably, the RSSI sampling by the channel quality estimator module is arranged between the start of each TX slot and the TX offset, with a time length of 2120 microseconds.
Preferably, the RSSI sampling of the channel quality evaluation module requires that the node is in a receiver state, whether the RX module is in an on state is judged before sampling, if the measurement is successful, the RSSI value is returned, the RSSI information of the corresponding channel is updated, and the latest RSSI value information of the channel is updated by measuring each channel one by one;
and after the RSSI information of the channel is updated, updating the estimated value of the channel quality and judging whether the optimal frequency hopping sequence needs to be recalculated.
Preferably, the channel selection module adopts a data structure of bitmap.
Preferably, the channel selection module defines two hopping sequences by using bitmap: an initial channel hopping sequence and a current channel hopping sequence; the initial hopping sequence information is retained to prevent the current channel hopping sequence from completely migrating from the initial hopping sequence, i.e., a situation occurs where the initial channel hopping sequence and the current channel hopping sequence do not have the same elements in any location.
Through the technical scheme, the invention has the beneficial effects that:
the invention is provided with a channel quality evaluation module and a channel selection module, and automatically selects a channel with good quality during communication, thereby ensuring the network communication quality.
Drawings
FIG. 1 is a schematic structural view of the present invention;
Detailed Description
In the description of the present invention, it should also be noted that, unless otherwise explicitly specified or limited, the terms "disposed," "mounted," "connected," and "connected" are to be construed broadly and may, for example, be fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art.
The technical solutions in the embodiments of the present invention are clearly and completely described below, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all 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.
Example 1:
a network scheduling system with adaptive channel selection comprises a channel quality evaluation module and a channel selection module, wherein the channel quality evaluation module evaluates the quality of each channel and provides an estimation result of the quality of a candidate channel, and the channel selection module determines whether to update a frequency hopping sequence based on the estimation of the quality of the candidate channel provided by the channel evaluation module.
The network scheduling system also comprises a wireless transmission medium, namely a physical channel for wireless transmission.
The channel quality evaluation module selects the measurement RSSI showing the channel energy level as the standard of channel quality evaluation, and models the channel quality by an EWMA method to give the estimation of the channel quality.
And when the channel selection module determines to update the frame hopping sequence, the channel selection module selects a proper channel from the candidate channels to replace the channel to be replaced in the frequency hopping sequence, so that the channel selection is completed. The updating mode of the channel frequency hopping sequence is based on the updating of the upstream node, namely when the frequency hopping sequence of the father node changes, the changed frequency hopping sequence is transmitted to the downstream node through the EB beacon, and the updating of the frequency hopping sequence is completed.
The RSSI sampling of the channel quality estimator module is arranged between the start of each TX slot and the TX offset for a time length of 2120 microseconds.
The RSSI sampling of the channel quality evaluation module needs that a node is in a receiver state, whether an RX module is in an open state is judged before sampling, if the measurement is successful, an RSSI value is returned, the RSSI information of a corresponding channel is updated, and the latest RSSI value information of the channel is updated through the measurement of each channel one by one;
and after the RSSI information of the channel is updated, updating the estimated value of the channel quality and judging whether the optimal frequency hopping sequence needs to be recalculated.
The channel selection module adopts a bitmap data structure.
The channel selection module defines two hopping sequences using bitmap: an initial channel hopping sequence and a current channel hopping sequence; the initial hopping sequence information is retained to prevent the current channel hopping sequence from completely migrating from the initial hopping sequence, i.e., a situation occurs where the initial channel hopping sequence and the current channel hopping sequence do not have the same elements in any location.
The invention is provided with a channel quality evaluation module and a channel selection module, and automatically selects a channel with good quality during communication, thereby ensuring the network communication quality.
Finally, it should be noted that: although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that modifications may be made to the embodiments or portions thereof without departing from the spirit and scope of the invention.
Claims (8)
1. The network scheduling system is characterized by comprising a channel quality evaluation module and a channel selection module, wherein the channel quality evaluation module evaluates the quality of each channel and provides an estimation result of the quality of a candidate channel, and the channel selection module determines whether to update a frequency hopping sequence based on the estimation of the quality of the candidate channel provided by the channel evaluation module.
2. The adaptive channel selection network scheduling system according to claim 1, wherein the network scheduling system further comprises a wireless transmission medium, i.e. a physical channel for wireless transmission.
3. The system of claim 1, wherein the channel quality assessment module selects a metric RSSI that exhibits a channel energy level as a criterion for channel quality assessment, and models channel quality by an EWMA method to provide an estimate of channel quality.
4. The system according to claim 1, wherein when the channel selection module determines to update the frame hopping sequence, the channel selection module selects a suitable channel from the candidate channels to replace the channel to be replaced in the frequency hopping sequence, thereby completing the channel selection. The updating mode of the channel frequency hopping sequence is based on the updating of the upstream node, namely when the frequency hopping sequence of the father node changes, the changed frequency hopping sequence is transmitted to the downstream node through the EB beacon, and the updating of the frequency hopping sequence is completed.
5. The adaptive channel selection network scheduling system of claim 3 wherein the RSSI sampling of said channel quality assessment module is arranged between the start of each TX slot and the TX offset, with a time length of 2120 microseconds.
6. The system according to claim 5, wherein the RSSI sampling of the channel quality assessment module requires that the node is in a receiver state, and whether the RX module is in an on state is determined before sampling, and if the measurement is successful, the RSSI value is returned, the RSSI information of the corresponding channel is updated, and the latest RSSI value information of the channel is updated by measuring each channel one by one;
and after the RSSI information of the channel is updated, updating the estimated value of the channel quality and judging whether the optimal frequency hopping sequence needs to be recalculated.
7. The system according to claim 1, wherein said channel selection module employs a bitmap data structure.
8. The adaptive channel selection network scheduling system of claim 7 wherein the channel selection module defines two hop sequences using bitmap: an initial channel hopping sequence and a current channel hopping sequence; the initial hopping sequence information is retained to prevent the current channel hopping sequence from completely migrating from the initial hopping sequence, i.e., a situation occurs where the initial channel hopping sequence and the current channel hopping sequence do not have the same elements in any location.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202110450409.3A CN113179142A (en) | 2021-04-25 | 2021-04-25 | Network scheduling system for self-adaptive channel selection |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202110450409.3A CN113179142A (en) | 2021-04-25 | 2021-04-25 | Network scheduling system for self-adaptive channel selection |
Publications (1)
Publication Number | Publication Date |
---|---|
CN113179142A true CN113179142A (en) | 2021-07-27 |
Family
ID=76925966
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202110450409.3A Pending CN113179142A (en) | 2021-04-25 | 2021-04-25 | Network scheduling system for self-adaptive channel selection |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN113179142A (en) |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102769894A (en) * | 2012-07-04 | 2012-11-07 | 上海大学 | Multi-gateway multi-node wireless sensor network and multi-gateway channel selection and node adaptive network access method for same |
CN104660302A (en) * | 2015-02-11 | 2015-05-27 | 北京科技大学 | Negotiated adaptive frequency-hopping method based on bitmap |
CN105979599A (en) * | 2016-05-09 | 2016-09-28 | 重庆邮电大学 | Wireless sensor network self-adaption channel switching method based on signal quality predication |
CN106877950A (en) * | 2016-12-23 | 2017-06-20 | 大唐高鸿信息通信研究院(义乌)有限公司 | A kind of wireless cognition channel estimation system of selection suitable for vehicle-mounted short distance communication network |
CN109168172A (en) * | 2018-09-17 | 2019-01-08 | 快快乐动(北京)网络科技有限公司 | A kind of wireless hop of multinode ad hoc network keeps pouring in transmission method and device |
-
2021
- 2021-04-25 CN CN202110450409.3A patent/CN113179142A/en active Pending
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102769894A (en) * | 2012-07-04 | 2012-11-07 | 上海大学 | Multi-gateway multi-node wireless sensor network and multi-gateway channel selection and node adaptive network access method for same |
CN104660302A (en) * | 2015-02-11 | 2015-05-27 | 北京科技大学 | Negotiated adaptive frequency-hopping method based on bitmap |
CN105979599A (en) * | 2016-05-09 | 2016-09-28 | 重庆邮电大学 | Wireless sensor network self-adaption channel switching method based on signal quality predication |
CN106877950A (en) * | 2016-12-23 | 2017-06-20 | 大唐高鸿信息通信研究院(义乌)有限公司 | A kind of wireless cognition channel estimation system of selection suitable for vehicle-mounted short distance communication network |
CN109168172A (en) * | 2018-09-17 | 2019-01-08 | 快快乐动(北京)网络科技有限公司 | A kind of wireless hop of multinode ad hoc network keeps pouring in transmission method and device |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN101568132B (en) | Method for processing handoff | |
EP2384597A1 (en) | Provision of inter-frequency subframe configuration in wireless communication | |
US8000300B2 (en) | Mobile station, radio access network apparatus and mobility control method | |
CN102026340B (en) | Wireless terminal, wireless base station and communication method in wireless communication system | |
CN105493551A (en) | Method and terminal for measuring cells | |
CN102740349B (en) | Terminal measurement scheduling method and device | |
JPWO2007023913A1 (en) | COMMUNICATION CONTROL DEVICE, COMMUNICATION TERMINAL DEVICE, WIRELESS COMMUNICATION SYSTEM, AND TRANSMISSION METHOD | |
CN106028416B (en) | The improvement clustering method of communication pattern double adaptive between a kind of cluster range and cluster | |
Fadhel et al. | A comprehensive analysis of energy dissipation in LEACH protocol for wireless sensor networks | |
US9584172B2 (en) | Wireless network receiver | |
US6636724B1 (en) | Method for indoor operation of a wireless telecommunication device | |
CN103078713A (en) | Communication equipment and data communication method | |
CN107682047B (en) | Channel-aware medium-voltage power line communication data transmission method | |
CN113179142A (en) | Network scheduling system for self-adaptive channel selection | |
Chang et al. | CCR: cost‐aware cell relocation in 6TiSCH networks | |
CN113179141A (en) | Self-adaptive channel selection algorithm for network scheduling | |
Desset et al. | Energy savings for wireless terminals through smart vertical handover | |
Fanucchi et al. | Improving link quality estimation accuracy in 6tisch networks | |
CN108307471B (en) | Energy balance cluster head node selection method | |
CN102986272A (en) | Radio communication system, radio base station, radio terminals and communication control method | |
CN113260037B (en) | Power self-adaption method for wireless network communication | |
WO2019029795A1 (en) | Indicating beams for wireless communication | |
CN103517393A (en) | Networking method based on power control of heterogeneous networks | |
CN113259030B (en) | Frequency self-adaption method based on RSSI wireless network communication system | |
Nguyen et al. | A pre-scanning-based link switching scheme in visible light communication networks |
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 | ||
RJ01 | Rejection of invention patent application after publication | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20210727 |