{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-9854390","patent":{"patent_number":"US-9854390","title":"Context-driven local network services","assignee":null,"inventors":[],"filing_date":"2012-06-27T00:00:00.000Z","publication_date":"2017-12-26T00:00:00.000Z","cpc_codes":["H04L","H04L","H04L","H04L","H04L","H04W","H04W","H04L","H04L","H04L","H04L","H04L","H04L","H04W"],"num_claims":23,"abstract":"Various embodiments are generally directed to cooperation among networked devices to obtain and use a multiple-frame screenshot. In one embodiment, an apparatus comprises a processor circuit executing a sequence causing the processor circuit to receive a signal conveying a context data; retrieve an aspect of a current context of the apparatus; compare the aspect to the context data; determine whether a context defined as appropriate exists to engage in interactions with one or more other computing devices through a network based on the comparison, the interactions comprising providing a network service to the one or more other computing devices; and engage in the interactions with one or more computing devices through the network when the appropriate context to engage in the interactions exists. Other embodiments are described and claimed herein."},"analysis":{"summary":"The Context-driven Local Network Services patent introduces an innovative approach to networked device cooperation, enabling devices to dynamically engage in interactions based on contextual relevance. The core innovation lies in comparing a device's current context with received data to determine if an interaction is appropriate. This involves retrieving aspects of the device's context, such as location, time, user preferences, and device capabilities, and comparing these aspects with the received context data to assess the relevance of a potential interaction. The problem being solved is the lack of adaptability in existing network solutions to dynamically adjust to changing contexts, resulting in suboptimal resource utilization and user experience.\n\nThe key technical approach involves a context collection module, a context processing module, a context comparison module, and an interaction management module. The context comparison algorithm plays a key role in determining the relevance of a potential interaction, and can be based on various techniques, such as machine learning, rule-based systems, or fuzzy logic.\n\nThe business value and applications of this technology are vast. In IoT networks, devices can dynamically adjust their behavior based on contextual information. In smart homes, devices can collaborate to provide personalized services. In mobile computing environments, devices can discover and interact with nearby services based on location and user context. This technology can reduce unnecessary data transfer, improve resource utilization, and enhance user experience.\n\nThe market opportunity for this technology is significant, as the number of connected devices continues to grow. The ability to dynamically adjust to changing contexts will become increasingly important, and this technology offers a promising approach to address these challenges and pave the way for a more intelligent and connected world. The Context-driven Local Network Services patent represents a significant advancement in network service delivery and has the potential to transform various industries.","layman_explanation":"The Context-driven Local Network Services patent addresses the problem of inefficient communication and resource utilization among networked devices. Existing solutions often lack the ability to dynamically adapt to changing contexts, resulting in suboptimal performance and user experience. For example, in a smart home, lights might turn on even when no one is in the room, or a thermostat might maintain a constant temperature regardless of occupancy.\n\nThis technology works by enabling devices to communicate and cooperate based on their current context. Imagine a group of friends deciding where to eat. Instead of everyone shouting out suggestions, they consider factors like location, time of day, and personal preferences. Similarly, this system allows devices to share information about their surroundings and adjust their behavior accordingly. For instance, a smart thermostat might receive information about the number of people in the room and adjust the temperature to maintain comfort while conserving energy. It’s about devices understanding the situation and reacting appropriately, much like how you adjust your actions based on where you are and what you’re doing.\n\nThis matters because it leads to more efficient resource utilization, improved user experience, and new business opportunities. By enabling context-aware interactions, this technology can reduce energy consumption, improve network performance, and create personalized services. The market impact is significant, as it applies to various industries, including smart homes, smart cities, and industrial automation. The potential ROI is high, as it can reduce costs, improve efficiency, and generate new revenue streams.\n\nIn the future, we can expect to see more widespread adoption of context-aware technologies, leading to more intelligent and connected environments. The market adoption timeline depends on factors such as technology maturity, regulatory approval, and consumer acceptance. Investment implications include opportunities for venture capital firms, strategic investors, and corporate acquirers.","technical_analysis":"The Context-driven Local Network Services patent outlines a system for enabling context-aware interactions among networked devices. The technical architecture comprises several key components: a context collection module, responsible for gathering contextual information from various sources; a context processing module, which analyzes the collected data and extracts relevant features; a context comparison module, which compares the extracted features with received context data; and an interaction management module, which manages the interactions among networked devices based on the comparison results. The system leverages a context comparison algorithm that can be based on various techniques, such as machine learning, rule-based systems, or fuzzy logic. The choice of algorithm depends on the specific application and the available data. Implementation details involve integrating the system into existing IoT systems, ensuring compatibility with various communication protocols and data formats, and scaling the system to support a large number of devices and users. Security is a critical concern, as the system must protect sensitive contextual information from unauthorized access. Performance characteristics are also important. The system must be able to process contextual information in real-time and make decisions quickly. The communication overhead must be minimized to reduce energy consumption. The system must also be robust to handle noisy or incomplete data. Integration patterns include using APIs to expose the system's functionality to other applications and services. Performance characteristics depend on the efficiency of the context comparison algorithm and the communication overhead. Code-level implications involve implementing the system in a modular and scalable manner, using appropriate data structures and algorithms, and optimizing the code for performance.","business_analysis":"The Context-driven Local Network Services patent presents a significant market opportunity in the rapidly growing field of Internet of Things (IoT) and smart environments. The market opportunity size is substantial, as the number of connected devices is expected to reach billions in the coming years. The competitive advantages of this technology include its ability to dynamically adjust to changing contexts, optimize resource utilization, and enhance user experience. The revenue potential is significant, as the technology can be licensed to various industries, including smart homes, smart cities, industrial automation, and healthcare. Business models include licensing the technology to device manufacturers, offering cloud-based services for context processing and interaction management, and providing consulting services for implementing the technology in specific applications. Strategic positioning involves targeting key industries and partnering with leading technology companies. ROI projections are favorable, as the technology can reduce costs, improve efficiency, and generate new revenue streams. The Context-driven Local Network Services patent has the potential to disrupt the market by enabling a new generation of intelligent and context-aware devices and services. Its ability to optimize resource utilization and enhance user experience provides a competitive edge over existing solutions. The technology can be used to create new business models and revenue streams, such as personalized services and targeted advertising. The business implications of this innovation are far-reaching and have the potential to transform various industries.","faqs":null,"topics":["context-aware networking","network optimization","IoT","smart homes","patent","context","driven","local"],"tech_cluster":null},"seo":{"title":"Context-driven Local Network Services - Patent US-9854390","description":"Discover how Context-driven Local Network Services enables intelligent device cooperation. Full patent analysis, claims, and technical details. Optimize network performance.","keywords":["context-aware networking","network optimization","IoT","smart homes","patent","patent US-9854390","local network services","device cooperation","intelligent devices","network management"]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-9854390","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-9854390","citation_suggestion":"Patentable. \"Context-driven local network services\" (US-9854390). https://patentable.app/patents/US-9854390","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-9854390","json":"https://patentable.app/api/llm-context/US-9854390","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-30T01:53:46.603Z"}