AI-ASSISTED POSITIONING AND COMMUNICATION SYSTEM FOR ADVANCED DEVICES

Abstract

ABSTRACT AI-ASSISTED POSITIONING AND COMMUNICATION SYSTEM FOR ADVANCED DEVICES The present disclosure introduces AI- assisted positioning and communication system for advanced device 100 that enhances the accuracy, efficiency, and adaptability of advanced devices. The system utilizes a multi-source data fusion system 102 to collect data from GNSS, IMUs, Wi-Fi, and cellular networks, processed by AI algorithms for data processing 104 for real-time analysis. A context-aware communication module 106 dynamically adjusts communication protocols, while the resource management module 108 optimizes energy consumption. The predictive positioning system 110 anticipates future movement for accurate navigation, and the seamless positioning transition system 112 ensures smooth transitions between different positioning modes. The user context awareness module 114 delivers personalized updates, with the communication optimization layer 116 optimizing data transmission and reducing network congestion. Finally, the crowdsourced data integration system 120 enhances positioning accuracy by incorporating real-time data from multiple users, making the system highly reliable and adaptable for various applications. Reference Fig 1

Specification

Description:AI-ASSISTED POSITIONING AND COMMUNICATION SYSTEM FOR ADVANCED DEVICES
TECHNICAL FIELD
[0001] The present innovation relates to artificial intelligence (AI)-assisted positioning and communication methods for enhancing accuracy and efficiency in advanced devices, such as smartphones, autonomous vehicles, and IoT systems.

BACKGROUND

[0002] The rapid growth of technology, particularly in areas such as transportation, urban planning, and communication, has significantly increased the demand for accurate positioning and reliable communication among devices. Traditional positioning systems like GPS, while widely used, face limitations due to signal degradation in urban environments, the need for a clear line-of-sight to satellites, and poor performance in densely populated or indoor areas. As the number of Internet of Things (IoT) devices grows, these limitations become more critical, as many devices require real-time, precise positioning for functionality. The available solutions, including Wi-Fi and cellular-based positioning systems, offer alternative approaches but suffer from reduced accuracy, high latency, and susceptibility to signal interference.

[0003] Current positioning and communication systems are often isolated from one another, focusing solely on either accurate location tracking or effective data transmission. However, these systems typically do not integrate AI-driven approaches to improve adaptability and resource management, leading to inefficiencies in real-world applications. Additionally, traditional systems tend to drain device battery life due to the continuous use of multiple sensors and high computational demand, making them unsuitable for energy-efficient advanced devices.
[0004] The AI-Assisted Positioning and Communication Method differentiates itself by integrating AI algorithms with multi-source data fusion, incorporating data from GPS, inertial measurement units (IMUs), Wi-Fi signals, and cellular networks. This approach not only enhances positioning accuracy but also optimizes communication protocols based on real-time contextual information. The novelty of the invention lies in its ability to adapt to changing environmental conditions, improve energy efficiency through intelligent resource management, and offer predictive positioning capabilities. By fusing data from multiple sources and utilizing lightweight AI models, the invention overcomes the drawbacks of traditional systems, providing a holistic solution for accurate, efficient, and adaptable positioning and communication across diverse applications


OBJECTS OF THE INVENTION

[0005] The primary object of the invention is to enhance positioning accuracy by utilizing multi-source data fusion from GPS, IMUs, Wi-Fi, and cellular networks.

[0006] Another object of the invention is to provide real-time adaptability to varying environmental conditions, ensuring reliable performance in both urban and indoor settings.

[0007] Another object of the invention is to reduce energy consumption through intelligent resource management, extending battery life in advanced devices.

[0008] Another object of the invention is to optimize communication protocols based on user context and environmental factors, reducing network congestion and improving efficiency.
[0009] Another object of the invention is to offer predictive positioning capabilities that anticipate device movement based on historical data and current patterns.

[00010] Another object of the invention is to enable seamless transitions between different positioning modes, such as switching from GPS to Wi-Fi, to maintain uninterrupted service.

[00011] Another object of the invention is to improve user experience through real-time feedback and customized communication preferences.

[00012] Another object of the invention is to provide a scalable system suitable for a wide range of applications, from personal devices to large-scale smart city infrastructure.

[00013] Another object of the invention is to enhance positioning accuracy in areas where traditional methods struggle, such as urban canyons or areas with significant signal interference.

[00014] Another object of the invention is to integrate AI algorithms that continuously learn and improve over time, ensuring the system adapts to user behaviour and environmental changes.

SUMMARY OF THE INVENTION

[00015] In accordance with the different aspects of the present invention, AI- assisted positioning and communication system for advanced device is presented. It enhances the accuracy and efficiency of positioning and communication in advanced devices by integrating AI-driven multi-source data fusion from GPS, IMUs, Wi-Fi, and cellular networks. The system adapts to environmental changes, optimizes communication protocols, and minimizes energy consumption through intelligent resource management. With predictive positioning capabilities and seamless transitions between modes, it ensures reliable performance in diverse applications. This innovative approach provides scalability for use in personal devices, autonomous systems, and smart city infrastructures.

[00016] Additional aspects, advantages, features and objects of the present disclosure would be made apparent from the drawings and the detailed description of the illustrative embodiments constructed in conjunction with the appended claims that follow.

[00017] It will be appreciated that features of the present disclosure are susceptible to being combined in various combinations without departing from the scope of the present disclosure as defined by the appended claims.

BRIEF DESCRIPTION OF DRAWINGS
[00018] The summary above, as well as the following detailed description of illustrative embodiments, is better understood when read in conjunction with the appended drawings. For the purpose of illustrating the present disclosure, exemplary constructions of the disclosure are shown in the drawings. However, the present disclosure is not limited to specific methods and instrumentalities disclosed herein. Moreover, those in the art will understand that the drawings are not to scale. Wherever possible, like elements have been indicated by identical numbers.

[00019] Embodiments of the present disclosure will now be described, by way of example only, with reference to the following diagrams wherein:

[00020] FIG. 1 is component wise drawing for AI- assisted positioning and communication system for advanced device.

[00021] FIG 2 is working methodology of AI- assisted positioning and communication system for advanced device.

DETAILED DESCRIPTION

[00022] The following detailed description illustrates embodiments of the present disclosure and ways in which they can be implemented. Although some modes of carrying out the present disclosure have been disclosed, those skilled in the art would recognise that other embodiments for carrying out or practising the present disclosure are also possible.

[00023] The description set forth below in connection with the appended drawings is intended as a description of certain embodiments of AI-assisted positioning and communication system for advanced device and is not intended to represent the only forms that may be developed or utilised. The description sets forth the various structures and/or functions in connection with the illustrated embodiments; however, it is to be understood that the disclosed embodiments are merely exemplary of the disclosure that may be embodied in various and alternative forms. The figures are not necessarily to scale; some features may be exaggerated or minimised to show details of particular components. Therefore, specific structural and functional details disclosed herein are not to be interpreted as limiting, but merely as a representative basis for teaching one skilled in the art to variously employ the present invention.

[00024] While the disclosure is susceptible to various modifications and alternative forms, specific embodiment thereof has been shown by way of example in the drawings and will be described in detail below. It should be understood, however, that it is not intended to limit the disclosure to the particular forms disclosed, but on the contrary, the disclosure is to cover all modifications, equivalents, and alternatives falling within the scope of the disclosure.

[00025] The terms "comprises", "comprising", "include(s)", or any other variations thereof, are intended to cover a non-exclusive inclusion, such that a setup, or system that comprises a list of components or steps does not include only those components or steps but may include other components or steps not expressly listed or inherent to such setup or system. In other words, one or more elements in a system or apparatus preceded by "comprises... a" does not, without more constraints, preclude the existence of other elements or additional elements in the system or apparatus.

[00026] In the following detailed description of the embodiments of the disclosure, reference is made to the accompanying drawings and which are shown by way of illustration-specific embodiments in which the disclosure may be practiced. These embodiments are described in sufficient detail to enable those skilled in the art to practice the disclosure, and it is to be understood that other embodiments may be utilized and that changes may be made without departing from the scope of the present disclosure. The following description is, therefore, not to be taken in a limiting sense.

[00027] The present disclosure will be described herein below with reference to the accompanying drawings. In the following description, well-known functions or constructions are not described in detail since they would obscure the description with unnecessary detail.

[00028] Referring to Fig. 1, AI- assisted positioning and communication system for advanced device 100 is disclosed, in accordance with one embodiment of the present invention. It comprises of multi-source data fusion system 102, AI algorithms for data processing 104, context-aware communication module 106, resource management module 108, predictive positioning system 110, seamless positioning transition system 112, user context awareness module 114, communication optimization layer 116, lightweight ai models 118, crowdsourced data integration system 120.

[00029] Referring to Fig. 1, the present disclosure provides details of AI- assisted positioning and communication system for advanced device 100 designed to enhance accuracy and efficiency in advanced devices. The system integrates multi-source data fusion system 102 to collect data from GNSS, IMUs, Wi-Fi, and cellular networks, processed by ai algorithms for data processing 104 to improve positioning predictions. Context-aware communication module 106 dynamically adjusts protocols based on environmental conditions, while resource management module 108 optimizes energy consumption. The system features predictive positioning system 110 to anticipate movement and seamless positioning transition system 112 to ensure smooth switching between positioning sources. User context awareness module 114 delivers personalized updates, and communication optimization layer 116 ensures efficient data transmission. Additionally, crowdsourced data integration system 120 enhances positioning accuracy by utilizing real-time data from multiple users.

[00030] Referring to Fig. 1, AI-assisted positioning and communication system for advanced devices 100 is provided with multi-source data fusion system 102, which integrates data from GNSS, IMUs, Wi-Fi, and cellular networks to improve positioning accuracy. This system collects, filters, and combines the data from these multiple sources, enabling reliable positioning even in challenging environments like urban canyons or indoors. It works closely with AI algorithms for data processing 104 to ensure the fused data is accurately processed and analyzed in real-time, enhancing the system's adaptability.

[00031] Referring to Fig. 1, AI-assisted positioning and communication system for advanced devices 100 is provided with AI algorithms for data processing 104, which utilize machine learning techniques like neural networks and Kalman filtering to analyze the data collected by multi-source data fusion system 102. These algorithms continuously adapt to changing environmental conditions, ensuring precise positioning and effective communication. The algorithms also interact with the predictive positioning system 110 to make anticipatory adjustments based on past behavior and current data.
[00032] Referring to Fig. 1, AI-assisted positioning and communication system for advanced devices 100 is provided with context-aware communication module 106, which dynamically adjusts communication protocols based on real-time contextual information such as network congestion or user location. This module ensures efficient data transmission by working closely with the communication optimization layer 116 to prioritize critical information while minimizing bandwidth usage, leading to more responsive communication in varying network conditions.

[00033] Referring to Fig. 1, AI-assisted positioning and communication system for advanced devices 100 is provided with resource management module 108, which intelligently manages the energy consumption of sensors and processors by controlling their activity based on demand. It works alongside the lightweight ai models 118 to minimize computational power requirements, ensuring that the system remains energy-efficient while still providing real-time functionality. This component plays a crucial role in extending the battery life of advanced devices.

[00034] Referring to Fig. 1, AI-assisted positioning and communication system for advanced devices 100 is provided with predictive positioning system 110, which anticipates the device's next movement based on historical data and current movement patterns. By analysing the outputs from AI algorithms for data processing 104 and multi-source data fusion system 102, this system makes real-time predictions that enhance navigation accuracy and responsiveness, even in complex environments such as cities or large indoor spaces.

[00035] Referring to Fig. 1, AI-assisted positioning and communication system for advanced devices 100 is provided with seamless positioning transition system 112, which enables smooth transitions between different positioning sources such as GNSS, Wi-Fi, and IMUs. This system evaluates the signal quality and environmental factors to decide the most reliable source for accurate positioning. It works in tandem with multi-source data fusion system 102 to ensure continuous positioning accuracy, even when one source becomes unavailable or weak.

[00036] Referring to Fig. 1, AI-assisted positioning and communication system for advanced devices 100 is provided with user context awareness module 114, which analyses real-time data to assess user behaviour and preferences, allowing for personalized communication and positioning adjustments. This module interacts closely with context-aware communication module 106 to ensure the system prioritizes the right data for transmission based on user needs, improving the overall user experience by delivering more relevant information at the right time.

[00037] Referring to Fig. 1, AI-assisted positioning and communication system for advanced devices 100 is provided with communication optimization layer 116, which optimizes the routing of data through the network, minimizing latency and improving efficiency. It works in collaboration with context-aware communication module 106 to dynamically adjust communication pathways based on network conditions, reducing congestion and ensuring that critical data is transmitted quickly while minimizing energy consumption.

[00038] Referring to Fig. 1, AI-assisted positioning and communication system for advanced devices 100 is provided with lightweight AI models 118, which are specifically designed to perform real-time data analysis without consuming excessive computational resources. These models process information provided by multi-source data fusion system 102 and AI algorithms for data processing 104, ensuring that advanced devices can maintain accurate positioning and communication while conserving battery life.

[00039] Referring to Fig. 1, AI-assisted positioning and communication system for advanced devices 100 is provided with crowdsourced data integration system 120, which utilizes data from multiple users and devices to enhance the accuracy of the positioning system. By incorporating real-time data from various sources, this system refines the positioning algorithms in ai algorithms for data processing 104 and improves overall system performance. It allows the system to benefit from collective user experiences, especially in areas with complex environments.

[00040] Referring to Fig 2, there is illustrated method 200 for AI-assisted positioning and communication system for advanced device 100. The method comprises:

At step 202, method 200 includes the device collecting data from multiple sources using the multi-source data fusion system 102;

At step 204, method 200 includes the device processing the collected data with the ai algorithms for data processing 104 to analyze and predict the device's location;

At step 206, method 200 includes the context-aware communication module 106 dynamically adjusting communication protocols based on the analysed data and real-time environmental conditions;

At step 208, method 200 includes the resource management module 108 optimizing energy consumption by managing sensor and processor activity to minimize power usage;

At step 210, method 200 includes the predictive positioning system 110 anticipating future device movement, enhancing navigation accuracy by predicting the next likely position based on current data;

At step 212, method 200 includes the seamless positioning transition system 112 ensuring smooth transitions between different positioning sources (GNSS, Wi-Fi, and IMU) depending on signal quality;

At step 214, method 200 includes the user context awareness module 114 delivering personalized communication updates, tailoring information based on user behaviour and preferences;

At step 216, method 200 includes the communication optimization layer 116 optimizing data transmission by ensuring efficient routing of critical information and minimizing network congestion;

At step 218, method 200 includes the lightweight AI models 118 performing real-time data analysis with minimal computational resource usage, ensuring energy-efficient functionality;

At step 220, method 200 includes the crowd sourced data integration system 120 enhancing positioning accuracy by incorporating data from multiple users and devices to refine algorithms in real time.

[00041] In the description of the present invention, it is also to be noted that, unless otherwise explicitly specified or limited, the terms "fixed" "attached" "disposed," "mounted," and "connected" are to be construed broadly, and may for example be fixedly connected, detachably connected, or integrally connected, either mechanically or electrically. They may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meaning of the above terms in the present invention can be understood in specific cases to those skilled in the art.

[00042] Modifications to embodiments of the present disclosure described in the foregoing are possible without departing from the scope of the present disclosure as defined by the accompanying claims. Expressions such as "including", "comprising", "incorporating", "have", "is" used to describe and claim the present disclosure are intended to be construed in a non- exclusive manner, namely allowing for items, components or elements not explicitly described also to be present. Reference to the singular is also to be construed to relate to the plural where appropriate.

[00043] Although embodiments have been described with reference to a number of illustrative embodiments thereof, it should be understood that numerous other modifications and embodiments can be devised by those skilled in the art that will fall within the spirit and scope of the principles of this disclosure. More particularly, various variations and modifications are possible in the component parts and/or arrangements of the subject combination arrangement within the scope of the present disclosure, the drawings and the appended claims. In addition to variations and modifications in the component parts and/or arrangements, alternative uses will also be apparent to those skilled in the art.
, Claims:WE CLAIM:
1. An AI-assisted positioning and communication system for advanced device 100 comprising of
multi-source data fusion system 102 to collect data from multiple sources for improved positioning accuracy;
AI algorithms for data processing 104 to analyze and process the collected data in real-time;
context-aware communication module 106 to dynamically adjust communication protocols based on environmental conditions;
resource management module 108 to optimize energy consumption by managing sensor and processor activity;
predictive positioning system 110 to anticipate future device movement for enhanced navigation accuracy;
seamless positioning transition system 112 to ensure smooth transitions between different positioning sources;
user context awareness module 114 to deliver personalized communication updates based on user preferences;
communication optimization layer 116 to optimize data transmission and reduce network congestion;
lightweight AI models 118 to perform real-time data analysis with minimal computational resources;
crowdsourced data integration system 120 to enhance positioning accuracy using real-time data from multiple users.

2. The AI-assisted positioning and communication system for advanced device 100 as claimed in claim 1, wherein multi-source data fusion system 102 is configured to collect and integrate data from GNSS, IMUs, Wi-Fi, and cellular networks to enhance positioning accuracy and reliability in diverse environments.

3. The AI-assisted positioning and communication system for advanced device 100 as claimed in claim 1, wherein AI algorithms for data processing 104 are configured to analyze real-time data using machine learning techniques, adapt to changing conditions, and improve the accuracy of positioning predictions.

4. The AI-assisted positioning and communication system for advanced device 100 as claimed in claim 1, wherein context-aware communication module 106 is configured to dynamically adjust communication protocols based on real-time environmental data, optimizing network performance and reducing latency.

5. The AI-assisted positioning and communication system for advanced device 100 as claimed in claim 1, wherein resource management module 108 is configured to optimize energy consumption by managing sensor and processor activity, ensuring efficient power usage without compromising system performance.

6. The AI-assisted positioning and communication system for advanced device 100 as claimed in claim 1, wherein predictive positioning system 110 is configured to anticipate device movement by analyzing current and historical data, improving navigation accuracy in real-time applications.

7. The AI-assisted positioning and communication system for advanced device 100 as claimed in claim 1, wherein seamless positioning transition system 112 is configured to facilitate smooth transitions between different positioning sources, such as GNSS, Wi-Fi, and IMUs, based on signal quality and environmental conditions.

8. The AI-assisted positioning and communication system for advanced device 100 as claimed in claim 1, wherein communication optimization layer 116 is configured to optimize data routing and transmission based on network conditions, reducing congestion and ensuring timely delivery of critical information.

9. The AI-assisted positioning and communication system for advanced device 100 as claimed in claim 1, wherein crowdsourced data integration system 120 is configured to enhance positioning accuracy by incorporating real-time data from multiple users, refining algorithms for better system performance in complex environments.

10. The AI-assisted positioning and communication system for advanced device 100 as claimed in claim 1, wherein method comprises of
multi-source data fusion system 102 collecting data from multiple sources, such as GNSS, IMUs, Wi-Fi, and cellular networks;

AI algorithms for data processing 104 analyzing the collected data to predict the device's location and improve accuracy;

context-aware communication module 106 dynamically adjusting communication protocols based on real-time environmental data and analyzed information;

resource management module 108 optimizing energy consumption by managing sensor and processor activity, reducing power usage during idle periods;

predictive positioning system 110 anticipating future device movement by analyzing current and historical data, improving navigation accuracy;
seamless positioning transition system 112 ensuring smooth transitions between different positioning sources (GNSS, Wi-Fi, IMUs), depending on signal quality and environmental conditions;

user context awareness module 114 delivering personalized communication updates based on user behavior, preferences, and environmental context;

communication optimization layer 116 optimizing data transmission, ensuring efficient routing of critical information and reducing network congestion;

lightweight AI models 118 performing real-time data analysis with minimal computational power, ensuring energy efficiency and high performance; and

crowdsourced data integration system 120 enhancing positioning accuracy by incorporating data from multiple users and devices to refine algorithms in real time.

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