AU2021106065A4 - An cloud computing enabled 5g wire less sensor network comprises iot sensors for smart city implements - Google Patents
An cloud computing enabled 5g wire less sensor network comprises iot sensors for smart city implements Download PDFInfo
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- AU2021106065A4 AU2021106065A4 AU2021106065A AU2021106065A AU2021106065A4 AU 2021106065 A4 AU2021106065 A4 AU 2021106065A4 AU 2021106065 A AU2021106065 A AU 2021106065A AU 2021106065 A AU2021106065 A AU 2021106065A AU 2021106065 A4 AU2021106065 A4 AU 2021106065A4
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- Australia
- Prior art keywords
- sensor network
- cloud computing
- smart city
- iot
- machine learning
- Prior art date
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- 241000854291 Dianthus carthusianorum Species 0.000 claims abstract description 10
- 238000010801 machine learning Methods 0.000 claims abstract description 10
- 230000005540 biological transmission Effects 0.000 claims abstract description 7
- 230000003044 adaptive effect Effects 0.000 claims abstract description 3
- 239000000872 buffer Substances 0.000 claims abstract description 3
- 230000003139 buffering effect Effects 0.000 claims abstract description 3
- 238000013473 artificial intelligence Methods 0.000 claims description 2
- 230000000694 effects Effects 0.000 abstract description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 239000007853 buffer solution Substances 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 238000013500 data storage Methods 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 238000007726 management method Methods 0.000 description 1
- 238000000034 method Methods 0.000 description 1
Classifications
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
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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]
-
- 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
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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
AN CLOUD COMPUTING ENABLED 5G WIRE LESS SENSOR
NETWORK COMPRISES IOT SENSORS FOR SMART CITY
IMPLEMENTS
The present invention relates to an JOT and cloud computing enabled 5g wireless
sensor network for smart city implements wherein a virtual buffer nodes and
machine learning are incorporated that make effects on energy distribution and
efficient data transmission to the base station. Further in the preferred embodiment
of present invention an adaptive Buffering with Fuzzy based Clustering (ABFC)
in IoT based-sensor network has facilitated sensor nodes in 5 G IoT network to
communicate easily with the base station with the introduction of buffer nodes.
And machine learning implemented for smarter intelligence of the system. The
decision based on the distance factor made by the selection of transmission through
Cluster Head (CH) in fuzzy based clustering, has resulted in good energy
distribution and improved the network lifetime.
Description
AN CLOUD COMPUTING ENABLED 5G WIRE LESS SENSOR NETWORK COMPRISES IOT SENSORS FOR SMART CITY IMPLEMENTS
Technical field of invention:
The present invention relates to field of electronics and more particularly relates to an IOT and cloud computing enabled 5g wireless sensor network for smart city implements.
Background of the present invention
The background information herein below relates to the present disclosure but is not necessarily prior art.
Cloud computing is the on-demand availability of computer system resources, especially data storage and computing power, without direct active management by the user. The term is generally used to describe data centers available to many users over the Internet.
Wireless sensor networks refer to networks of spatially dispersed and dedicated sensors that monitor and record the physical conditions of the environment and forward the collected data to a central location. WSNs can measure environmental conditions such as temperature, sound, pollution levels, humidity and wind.
There exist many drawbacks in the existing systems. Therefore, there is need to introduce a novel and efficient system for system. Hence the present invention develops a an IOT and cloud computing enabled 5G sensor network for smart city implements.
Objective of the invention:
The primary object of present invention is to provide an IOT and cloud computing enabled 5g wireless-sensor network for smart city implements.
Summary of the invention
Accordingly present invention provides an IOT and cloud computing enabled 5g wireless sensor network for smart city implements. wherein a virtual buffer nodes along with machine learning technique are incorporated that make efficient data transmission to the base stations. Further herein an IOT sensors are implemented to makes it technologically advanced over the prior art, which makes it more efficient.
Detailed description of invention
Exemplary embodiments now will be described with reference to the accompanying drawings. The invention may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein; rather, these embodiments are provided so that this invention will be thorough and complete, and will fully convey its scope to those skilled in the art.
The terminology used in the detailed description of the particular exemplary embodiments illustrated in the accompanying drawings is not intended to be limiting. In the drawings, like numbers refer to like elements.
Unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention pertains. It will be further understood that terms, such as those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the relevant art and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein.
The present invention relates to an IOT and cloud computing enabled g wireless sensor network for smart city implements wherein a virtual buffer nodes and machine learning are incorporated that make effects on energy distribution and efficient data transmission to the base station.
Further in the preferred embodiment of present invention an adaptive Buffering with Fuzzy based Clustering (ABFC) in IoT based-sensor network has facilitated sensor nodes in 5 G IoT network to communicate easily with the base station with the introduction of buffer nodes. And machine learning implemented for smarter intelligence of the system. The decision based on the distance factor made by the selection of transmission through Cluster Head (CH) in fuzzy based clustering, has resulted in good energy distribution and improved the network lifetime.
The present invention comprises of GSM module, GPS module, 5G supported IoT sensors, Wi-Fi module, micro controller and a power supply.
Herein the sensor nodes are deployed parallel to enabled with machine learning and grouped into a cluster based on region then it finds cluster head for that cluster based on Fuzzy rules. Fuzzy rules are made by three input constraints. The input constraints, includes, energy level of every node after completion of transmission, node centrality and local distance. In every round, cluster head will be selected based on their energy level. After CH election, the Connection establishes between cluster head and all other nodes. Initially, all the nodes have a buffer system.
Herein the present invention all nodes, Cluster head sends the data to the base station through artificial intelligence which is near to the Base Station.
The many features and advantages of the invention are apparent from the detailed specification, and thus, it is intended by the appended claims to cover all such features and advantages of the invention which fall within the true spirit and scope of the invention. Further, since numerous modifications and variations will readily occur to those skilled in the art, it is not desired to limit the invention to the exact construction and operation illustrated and described, and accordingly, all suitable modifications and equivalents may be resorted to, falling within the scope of the invention.
Claims (4)
1. An JOT and cloud computing enabled 5g wireless sensor network for smart city implements wherein a virtual buffer nodes and machine learning are incorporated that make efficient data transmission to the base station.
2. The JOT and cloud computing enabled 5g wireless sensor network for smart city implements as claimed in claim 1 wherein an adaptive Buffering with Fuzzy based Clustering (ABFC) in IoT based-sensor network has facilitated sensor nodes in 5 G IoT network to communicate easily with the base station with the introduction of buffer nodes. And machine learning implemented for smarter intelligence of the system.
3. The JOT and cloud computing enabled 5g wireless sensor network for smart city implements as claimed in claim 1 wherein said system comprises of artificial intelligence and machine learning, GSM module, GPS module, 5G supported IoT sensors, Wi-Fi module, micro controller and a power supply.
4. The JOT and cloud computing enabled 5g wireless sensor network for smart city implements as claimed in claim 1 wherein the sensor nodes are deployed parallel to enabled with machine learning and grouped into a cluster based on region then it finds cluster head for that cluster based on Fuzzy rules. Fuzzy rules are made by three input constraints.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
AU2021106065A AU2021106065A4 (en) | 2021-08-20 | 2021-08-20 | An cloud computing enabled 5g wire less sensor network comprises iot sensors for smart city implements |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
AU2021106065A AU2021106065A4 (en) | 2021-08-20 | 2021-08-20 | An cloud computing enabled 5g wire less sensor network comprises iot sensors for smart city implements |
Publications (1)
Publication Number | Publication Date |
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AU2021106065A4 true AU2021106065A4 (en) | 2021-11-25 |
Family
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AU2021106065A Ceased AU2021106065A4 (en) | 2021-08-20 | 2021-08-20 | An cloud computing enabled 5g wire less sensor network comprises iot sensors for smart city implements |
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AU (1) | AU2021106065A4 (en) |
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2021
- 2021-08-20 AU AU2021106065A patent/AU2021106065A4/en not_active Ceased
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