{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-9854517","patent":{"patent_number":"US-9854517","title":"Scheduling data in background services on mobile devices","assignee":null,"inventors":[],"filing_date":"2013-01-31T00:00:00.000Z","publication_date":"2017-12-26T00:00:00.000Z","cpc_codes":["H04W","G06F","G06F","H04L","H04L","H04L","H04W","H04W","H04W","H04W","H04L","H04W","H04W"],"num_claims":18,"abstract":"Systems and methods of scheduling data in background services on mobile devices are disclosed. An example method includes identifying data consumption patterns on a mobile device. The method also includes determining sensitivity of data arriving at the mobile device based on the data consumption patterns. The method also includes aggregating network access by background services on the mobile device according to a schedule based on the sensitivity of the data arriving at the mobile device."},"analysis":{"summary":"Scheduling Data in Background Services on Mobile Devices introduces a novel approach to managing data consumption on mobile devices by intelligently scheduling network access for background services. This patent addresses the problem of excessive data usage and battery drain caused by background applications constantly polling for updates. The key technical approach involves identifying data consumption patterns and determining the sensitivity of incoming data. By analyzing user behavior and application requirements, the system can schedule network access in a way that minimizes disruption and optimizes resource usage. This includes aggregating network access and prioritizing urgent notifications over less critical updates. The business value lies in reduced data costs for users, improved battery life, and enhanced user experience. Potential applications include integration into mobile operating systems, third-party applications, and network infrastructure. The market opportunity is significant, as mobile devices become increasingly integral to daily life, and the need for intelligent data management solutions continues to grow. This innovation promises to alleviate network congestion and improve the overall efficiency of mobile networks, benefiting both users and service providers. The system can be adapted to various mobile environments, ensuring broad applicability and market penetration.","layman_explanation":"Scheduling Data in Background Services on Mobile Devices addresses a common problem with smartphones and other mobile devices: background data usage. Even when you're not actively using apps, they're often connecting to the internet to update information, check for notifications, and perform other tasks. This constant activity consumes data, which can lead to higher mobile bills, and drains battery life, requiring more frequent charging.\n\nExisting solutions to this problem are often blunt instruments. You might be able to restrict background data usage altogether, but that can prevent you from receiving important notifications or updates. Alternatively, you could manually manage each app's background data settings, but that's time-consuming and impractical.\n\nScheduling Data in Background Services on Mobile Devices offers a more intelligent approach. Instead of simply blocking or allowing background data, it analyzes your usage patterns and determines when you're most likely to need certain information. It then schedules data updates accordingly. For example, if you check your email every morning at 8 AM, the system might schedule email updates for that time. If you rarely use a particular app, it might delay updates until you open the app.\n\nThis approach offers several key benefits. First, it reduces data consumption by avoiding unnecessary background updates. Second, it extends battery life by minimizing the amount of time your device spends connected to the internet. Third, it improves the user experience by ensuring that you receive important information when you need it, without constantly draining your battery or consuming data. In the future, this technology could be integrated into mobile operating systems or offered as a standalone app. Market adoption will likely depend on how easily it can be integrated into existing devices and how effectively it can demonstrate its benefits to users. From an investment perspective, this patent represents a valuable asset in the growing market for mobile data optimization solutions.","technical_analysis":"Scheduling Data in Background Services on Mobile Devices provides a sophisticated technical solution for managing background data usage on mobile devices. The system architecture comprises three primary modules: a data analysis module, a scheduling engine, and a network access controller. The data analysis module employs machine learning algorithms to identify data consumption patterns. It monitors user behavior, application usage, and network traffic to predict future data needs. This module also assesses the sensitivity of incoming data based on predefined rules and user preferences. The scheduling engine utilizes the information gathered by the data analysis module to create a schedule for network access. This schedule optimizes data delivery based on data sensitivity and user context, ensuring that urgent notifications are prioritized while less critical updates are delayed or aggregated. The network access controller enforces the schedule created by the scheduling engine. It manages network connections and data transfers, ensuring that background services adhere to the optimized schedule. The implementation of this system requires careful consideration of several technical factors, including data latency, network bandwidth, and processing power. The system must be designed to minimize latency and ensure that data is delivered in a timely manner. It must also be able to adapt to changing network conditions and adjust the schedule accordingly. Furthermore, the system must be optimized for low power consumption to minimize battery drain. Integration with existing mobile operating systems and applications requires a well-defined API that allows developers to access the system's functionality. This API should provide methods for registering background services, specifying data sensitivity levels, and receiving notifications about scheduled network access. The performance characteristics of this system depend on the accuracy of the data analysis module and the efficiency of the scheduling engine. The system must be able to accurately predict data needs and create an optimized schedule that minimizes data consumption and improves battery life. Code-level implications include the need for efficient data structures and algorithms to handle large volumes of data and complex scheduling calculations. The system should also be designed to be scalable and maintainable, allowing for future enhancements and updates.","business_analysis":"Scheduling Data in Background Services on Mobile Devices presents a significant market opportunity within the mobile technology sector. The increasing reliance on mobile devices and the growing demand for data-intensive applications have created a need for efficient data management solutions. This patent addresses this need by intelligently scheduling network access for background services, reducing data consumption, and improving battery life. The market opportunity size is substantial, encompassing millions of mobile users worldwide. The competitive advantages of this technology include its ability to learn user behavior, adapt to changing data needs, and prioritize data based on sensitivity. These features differentiate it from existing solutions that simply limit background data usage or rely on fixed schedules. The revenue potential is significant, with opportunities for licensing the technology to mobile operating system vendors, application developers, and network providers. Business models could include per-device licensing fees, subscription-based services, or revenue sharing agreements. The strategic positioning of this technology is strong, as it aligns with the growing trend towards mobile data optimization and personalized user experiences. The system can be marketed as a value-added feature for mobile devices, applications, and network services. ROI projections indicate a substantial return on investment, driven by increased user satisfaction, reduced data costs, and improved battery life. This technology has the potential to generate significant revenue and create a competitive advantage for companies that adopt it. The system can be integrated into various mobile environments, ensuring broad applicability and market penetration. The commercial applications of this technology extend beyond individual users, encompassing enterprise mobility management, IoT devices, and smart city initiatives. The potential for widespread adoption and long-term growth makes this patent a valuable asset for investors and businesses.","faqs":null,"topics":["mobile data scheduling","background services optimization","data consumption reduction","battery life extension","mobile network efficiency","scheduling","background","services"],"tech_cluster":null},"seo":{"title":"Scheduling Data in Background Services on Mobile Devices - Patent US-9854517","description":"Discover how this patent optimizes mobile data usage by intelligently scheduling background services. Reduce data consumption & extend battery life. Full analysis & claims.","keywords":["mobile data scheduling","background services optimization","data consumption reduction","battery life extension","mobile network efficiency","patent","patent US-9854517"]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-9854517","license":"CC-BY-4.0-like","license_terms":"AI-generated analysis on this page (summary, layman_explanation, technical_analysis, business_analysis, faqs) may be reused with attribution and a visible link back to the canonical URL above. Patent abstracts, claims, and bibliographic data are USPTO public domain.","required_link":"https://patentable.app/patents/US-9854517","citation_suggestion":"Patentable. \"Scheduling data in background services on mobile devices\" (US-9854517). https://patentable.app/patents/US-9854517","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-9854517","json":"https://patentable.app/api/llm-context/US-9854517","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-30T04:06:56.972Z"}