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Analysis

1 / 591
1.2021101443Secure Device To Device Connectivity Mechanism for IoT Smart City Applications
AU - 08.04.2021
Int.Class G08G 1/01
GPHYSICS
08SIGNALLING
GTRAFFIC CONTROL SYSTEMS
1Traffic control systems for road vehicles
01Detecting movement of traffic to be counted or controlled
 Appl.No 2021101443 Applicant LAKSHMIPRABHA, K. E. MS Inventor LAKSHMIPRABHA, K. E.
An effective broadcasting protocol proposed to maintain sufficient broadcast of the control overhead (OH) message between vehicles without compromising vehicle speed and high data rate (without delay) even under unbalanced connectivity. For effective broadcasting, an adaptive data controlling protocol (ADCP) is proposed. It combines swarm optimization (SO) and fuzzy predicator-based decision making (FPDM) algorithm. According to this, vehicles are made into different clustering group and each group cluster head (CH) is selected through which control overhead message forward/re-forward between vehicles. Then, an FPDM algorithm is executed which provides alternative suggestion about new road safety path. Hence, it is simply broadcast the control overhead message by ensuring nearby vehicles count and distance from neighbouring hubs around it. As a result, it has restricted frequent exchanging of control overhead (OH) message. SECURE DEVICE TO DEVICE CONNECTIVITY MECHANISM FOR IOT SMART CITY APPLICATIONS Fig. 1 illustrates the layout of flexible vehicle traffic maintenance system. Fig. 2illustrates aprocess of Identity emergency vehicle for endpoint security.
2.2021106065AN CLOUD COMPUTING ENABLED 5G WIRE LESS SENSOR NETWORK COMPRISES IOT SENSORS FOR SMART CITY IMPLEMENTS
AU - 04.11.2021
Int.Class H04L 67/12
HELECTRICITY
04ELECTRIC COMMUNICATION TECHNIQUE
LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
67Network arrangements or protocols for supporting network services or applications
01Protocols
12specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
 Appl.No 2021106065 Applicant Manipal University Jaipur Inventor Bhuranda, Lokesh Kumar
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.
3.2021103730AN IOT AND CLOUD COMPUTING ENABLED 5G SENSOR NETWORK FOR SMART CITY IMPLEMENTS
AU - 05.08.2021
Int.Class H04W 40/32
HELECTRICITY
04ELECTRIC COMMUNICATION TECHNIQUE
WWIRELESS COMMUNICATION NETWORKS
40Communication routing or communication path finding
24Connectivity information management, e.g. connectivity discovery or connectivity update
32for defining a routing cluster membership
 Appl.No 2021103730 Applicant Bhadla, Mohitkumar Inventor Bhadla, Mohitkumar
AN IOT AND CLOUD COMPUTING ENABLED 5G SENSOR NETWORK FOR SMART CITY IMPLEMENTS The present invention relates to an IOT and cloud computing enabled 5G sensor network for smart city implements. The proposed system based on cloud computing and comprises of GSM (Global System for Mobile) module, GPS (Global Positioning Service) module, 5G supported IoT sensors, Wi-Fi module (ESP8266), Arduino due (micro controller) and a power supply. The 5G IoT based sensor nodes are deployed on cloud computing and grouped into a cluster based on region.
4.20220107611System and method for preemptive shutdown of utilities, facilities or systems in smart cities
US - 07.04.2022
Int.Class G05B 13/02
GPHYSICS
05CONTROLLING; REGULATING
BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
13Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
02electric
 Appl.No 17061888 Applicant SAUDI ARABIAN OIL COMPANY Inventor Sami A. Alshuwair

A method for a preemptive and graceful shutdown of utilities, facilities or systems in smart cities includes detecting a hazard at external entities based on collected information, determining whether a predefined shutdown plan for the detected hazard exists, generating a new shutdown plan, based on predefined criteria, for the detected hazard, and shutting down the at least one component of the external entities based on the new shutdown plan or the predefined shutdown plan.

5.2021102038IoT based intelligent device more than one parking available notification using RFID
AU - 20.05.2021
Int.Class G08G 1/14
GPHYSICS
08SIGNALLING
GTRAFFIC CONTROL SYSTEMS
1Traffic control systems for road vehicles
14indicating individual free spaces in parking areas
 Appl.No 2021102038 Applicant Agarwal, Prateek MR Inventor Agarwal, Prateek
The invention IoT-based intelligent device more than one parking available notification using RFID is mostly found in an urban area and the organization's service numbers of people such as government places, school, Engineering institute, coaching institute university, department store, and hospital, is the insufficient car parking. This problem is the result of the continually increasing number of vehicles and the Bick, motor cycle, car modern car parking management is insufficient so the service users waste their important time and fuel, pollution trying to look for the available parking. The invention is to develop an application for intelligent vehicle parking using Radio-Frequency Identification and IoT/ WI-FI which can detect the available parking position is a Map lot so it is time-saving for people and also the parking area management ant the users have to access web application which is unable to automatically alert when the parking lot status has changed or any type of modification. With the evolution of IoT, the idea of an intelligent city now seems to be achievable and Consistent efforts are being made in the field of IoT in order to maximize the productivity as per requirement and very easy to urban infrastructure and also the problems such as, overcrowded vehicle, traffic congestion, low in car parking facilities and road safety are being addressed by IoT. The Invented parking method /system consists of an on-site design, deployment of an IoT module that is used to monitor and signalize the state of availability of each single parking space, and also an application is also provided that allows an end-user to check the availability of parking space and book a parking spot as per user need. The invention is a integrated approach of RFID/ IOT and NPR was unique, and the Application was smarter than the Availavle cloud systems and the intelligent robustness of RFID/IOT sensor was 99%, while the NPR achieved an accuracy of 98% with detection time of under 7.24 second. TOTAL NO OF SHEET: 03 NO OF FIG: 03 Fig.1: Parking Available Notification.
6.20190342395Method and apparatus for managing urban infrastructures using internet of things
US - 07.11.2019
Int.Class G08B 23/00
GPHYSICS
08SIGNALLING
BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
23Alarms responsive to unspecified undesired or abnormal conditions
 Appl.No 16398918 Applicant ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE Inventor Young Il Kim

A method and an apparatus for urban infrastructure management using IoT. The method includes receiving sensing data from a plurality of IoT devices installed in the urban infrastructures; determining health states of the urban infrastructures or predicting occurrence of a disaster based on the received sensing data; and transmitting a warning message according to the predicted disaster occurrence to outside. Thus, the urban infrastructures can be managed efficiently, and the disaster occurrence can be predicted accurately.

7.WO/2018/096561SYSTEM AND METHOD FOR DELIVERING WI-FI AND INTERNET OF THINGS (IOT) BASED APPLICATIONS THROUGH AN INTEGRATED SERVICE DELIVERY PLATFORM
WO - 31.05.2018
Int.Class H04W 48/00
HELECTRICITY
04ELECTRIC COMMUNICATION TECHNIQUE
WWIRELESS COMMUNICATION NETWORKS
48Access restriction; Network selection; Access point selection
 Appl.No PCT/IN2017/050551 Applicant SRINIVAS, Gudipudi Inventor SRINIVAS, Gudipudi
The embodiments herein provide an integrated service delivery platform for the rollout of Wi-Fi and IoT based applications. The embodiments herein also comprises an intelligent operating system in the devices, along with multi-vendor and multi-location support. The embodiments herein provide inherent intelligence for IoT activities along with Hotspot and Wi-Fi services. The embodiments herein also comprise a multi-tiered licensing system, an integrated Wi-Fi management system, a workflow based multi-vendor authentication service with customized captive portal and ad-hoc networking blocking module. The embodiments herein also provide a system for enabling multi-vendor device configuration, monitoring and methods to implement user security policies in a plurality of end-devices.
8.2020101211LARGE SCALE IoT PILOT STRUCTURE FOR SMART CITY PLAN AND DEVELOPMENT
AU - 16.07.2020
Int.Class G16Y 30/00
GPHYSICS
16INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
YINFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS
30IoT infrastructure
 Appl.No 2020101211 Applicant Kallam, Suresh DR Inventor Kallam, Suresh
Current urban communities and metropolitan regions everywhere throughout the world face new organization challenges in the 21st century chiefly due to extending demands on desires for usual comforts by the urban population. These challenges reach out from environmental change, contamination, transportation, and individual responsibility, to urban arranging, and security dangers. The primary target of a Smart City is to check these issues and diminish their belongings by methods for Large scope IoT pilots to improve urban association and establishment. Key considerations are to utilize network communication to interconnect public authorities, yet also to send and coordinate different sensors and actuators all through the city structure - which is in generally known as the Internet of Things (IoT). The inescapable availability of contraptions enabled by the Internet of Things (IoT) advances is driving the course in various imaginative administrations and applications. This growing accessibility goes with its unpredictability. As such, enormous scope pilots (LSPs) are proposed to make, test, and use IoT improvement in various spaces in conditions in a general sense the same as their adaptable operational setting. In this creation, we present the EU venture MONICA which centers around an exhibition of enormous scope IoT organizations at open, downtown occasions and gives an outline of its IoT stage engineering. LARGE SCALE IoT PILOT STRUCTURE FOR SMART CITY PLAN AND DEVELOPMENT Diagram Fig 2: IoT applications in smart cities
9.20230124522Methods for managing traffic congestion in smart cities and internet of things (IoT) systems thereof
US - 20.04.2023
Int.Class G08G 1/01
GPHYSICS
08SIGNALLING
GTRAFFIC CONTROL SYSTEMS
1Traffic control systems for road vehicles
01Detecting movement of traffic to be counted or controlled
 Appl.No 18069965 Applicant CHENGDU QINCHUAN IOT TECHNOLOGY CO., LTD. Inventor Zehua Shao

The present disclosure provides a method for managing traffic congestion in a smart city. The method includes predicting, based on a trained traffic state prediction model, one or more target areas where the traffic congestion is likely to occur from the preset area during a next time period by processing the traffic data information during the current time period, the traffic state prediction model being a Graph Neural Network (GNN) model and a predicted result being output by at least one node of a traffic state prediction model; determining whether a traffic scheduling strategy is needed to be switched based on traffic data information in the one or more target areas during the next time period; and in response to determining that the traffic scheduling strategy is needed to be switched, switching a first traffic scheduling strategy to a second traffic scheduling strategy.

10.20230131858Methods for traffic scheduling at intersections in smart cities and Internet of Things (IoT) systems thereof
US - 27.04.2023
Int.Class G08G 1/01
GPHYSICS
08SIGNALLING
GTRAFFIC CONTROL SYSTEMS
1Traffic control systems for road vehicles
01Detecting movement of traffic to be counted or controlled
 Appl.No 18145026 Applicant CHENGDU QINCHUAN IOT TECHNOLOGY CO., LTD. Inventor Zehua Shao

The present disclosure provides a method for traffic scheduling at an intersection in a smart city and an Internet of Things system. The method includes: for the intersection in a preset area, determining whether traffic congestion is likely to occur at the intersection during a next time period based on a comparison result between the number of the first vehicles and the number of second vehicles; in response to determining that the traffic congestion is likely to occur at the intersection during the next time period, determining whether a traffic scheduling strategy is needed to be switched based on traffic data information of the intersection during the next time period; and in response to determining that the traffic scheduling strategy is needed to be switched, switching a first traffic scheduling strategy to a second traffic scheduling strategy.

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