Broadcast Capability Detection for Non-Native IoT Functions
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Solution Overview
Problem
Existing systems fail to automatically provide network devices with non-native functionality based on their capabilities and functionalities, limiting their ability to execute novel services without user intervention.
Innovation Solution
A computerized framework that determines network device capabilities and functionalities from broadcasted information, enabling automatic provision of new features and services by leveraging data shared between devices within an IoT environment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If devices are provided with non-native functionality automatically based on detected capabilities, then device versatility and functionality are improved, but system complexity increases
Solution Approach 1:
The system automatically detects device capabilities through broadcasted information and provisionally provides non-native functionality without requiring user intervention. The device discovery and capability detection process operates autonomously, with the system serving itself by analyzing broadcast data and making automated decisions about functionality provision.
Solution Approach 2:
The system performs capability detection and functionality determination before actual service delivery. By analyzing broadcasted device information in advance and pre-determining which non-native functionalities can be provided, the system prepares and provisions capabilities proactively rather than reactively, enabling smoother integration.
2Ease of operation
If automatic capability detection and functionality provision is implemented, then ease of operation is improved, but device complexity increases
Solution Approach 1:
The system eliminates the need for user intervention in capability detection and functionality provision. The automatic broadcast-based detection process operates without user input, and the system autonomously determines and provides appropriate non-native functionalities, significantly simplifying the user experience.
Solution Approach 2:
The system uses broadcasted device information as an intermediary mechanism to bridge the gap between device capabilities and available functionalities. This broadcast data serves as the mediating element that enables automatic capability detection and functionality matching without requiring direct user interaction or manual configuration.
3Productivity
If devices broadcast capability information for automatic detection, then productivity is improved through faster service provision, but energy consumption increases
Solution Approach 1:
The system employs periodic broadcasting of device capability information rather than continuous transmission. Devices broadcast their capabilities at intervals, allowing the discovery system to collect information periodically, which reduces energy consumption while maintaining the ability to detect and respond to device capabilities efficiently.
Data Source
AI summary
Disclosed are systems and methods for improving interactions with and between computers in content searching, generating, hosting and/or providing systems supported by or configured with personal computing devices, servers and/or platforms. The systems interact to identify and retrieve data within or across platforms, which can be used to improve the quality of data used in processing interactions between or among processors in such systems. Computer-based systems leverage information shared within an electronic computing environment in order to provide a novel framework for detecting device capabilities from broadcasted information shared by such devices, which creates more computing opportunities for direct integration of the physical world into computer-based systems, thereby improving efficiency, accuracy and cost-effectiveness in the manner media content, application program and/or computing services are provided.