Machine-to-Machine Service Enrollment With Secure Discovery
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Solution Overview
Problem
Existing IoT ecosystems lack extensibility and flexibility, with manual and non-standardized enrollment processes burdening consumers and service providers, limiting the ability to integrate diverse IoT devices and services from various vendors.
Innovation Solution
An automated IoT service enrollment system that virtualizes service enrollees and providers, enabling automated discovery, secure association, and dynamic enrollment of IoT devices, applications, and users, using capabilities like Service Enrollee Virtualization, Service Enrollment Query and Discovery, and Secure Association.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual service enrollment processes are used, then service providers can maintain control over enrollment, but the process becomes complex and time-consuming for consumers
Solution Approach 1:
The system performs preliminary actions by pre-configuring service templates, authorization policies, and device profiles before enrollment occurs. When a consumer enrolls a device, the system has already prepared the necessary service configurations, authorization rules, and data management policies, enabling rapid automated enrollment without manual setup for each device.
Solution Approach 2:
The service enrollment system enables self-service by allowing consumers to automatically enroll their own IoT devices without requiring manual intervention from service providers. The system autonomously discovers devices, matches them with appropriate services, configures authorization policies, and establishes data management rules through automated workflows.
2Productivity
If standardized service enrollment is implemented, then enrollment speed increases, but flexibility to handle diverse IoT devices and services decreases
Solution Approach 1:
The service template system is designed to be dynamic and configurable, allowing service providers to define customizable service templates that can adapt to different IoT device types and use cases. The templates include configurable parameters for data management, authorization policies, and service specific settings, enabling the system to handle diverse devices while maintaining automated enrollment workflows.
Solution Approach 2:
The enrollment system segments the service configuration into modular templates that can be independently configured and combined. Each service template represents a discrete, configurable unit that can be selectively applied to different device types, allowing the system to maintain standardized enrollment processes while adapting to specific device requirements through template selection and customization.
3Ease of operation
If automated service enrollment is deployed, then consumer experience improves, but system complexity increases
Solution Approach 1:
The system introduces service templates as an intermediary layer between the automated enrollment process and the underlying complex service configurations. These templates abstract and simplify the enrollment interface for consumers while encapsulating the complexity of service-specific settings, authorization policies, and data management rules within the template definitions, which are managed by service providers.
Solution Approach 2:
The system uses service templates as reusable copies or patterns that define service configurations. Instead of creating unique complex configurations for each device enrollment, the system replicates pre-defined service templates, applying them automatically during enrollment. This copying mechanism simplifies the consumer interface while maintaining the ability to handle diverse service requirements through template variation.
Data Source
AI summary
IoT service layer capabilities may be employed to automate and simplify the service enrollment process for IoT service subscribers/enrollees. These capabilities enable virtualization of a service subscriber and the physical IoT devices, applications, data and authorized users of the subscriber into a software profile that is representative of the subscriber. Once virtualized, a service subscriber may then delegate the complexities and burden of service enrollment to an automated IoT service enrollment software function.