Intelligent M2M Device Resource Negotiation
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Solution Overview
Problem
Machine-to-machine (M2M) devices often face challenges in fulfilling requests due to resource limitations, obsolescence, and being busy, leading to incomplete or delayed responses.
Innovation Solution
Intelligent M2M devices can discover, negotiate, and share resources with each other to collaborate on performing functions, allowing them to request and receive necessary resources from other devices to fulfill requests.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If M2M devices rely on dedicated local resources to fulfill requests, then response reliability is improved, but device versatility and resource utilization deteriorate
Solution Approach 1:
The patent merges resources across multiple M2M devices by enabling them to act as both clients and providers. Devices can pool their computational resources, storage, and processing capabilities together through a standardized interface, allowing the system to fulfill requests that exceed individual device capabilities while maintaining reliable responses.
Solution Approach 2:
The patent implements multi-functionality by designing M2M devices with dual roles: they can consume resources as clients and provide resources as providers. This universal capability allows any device to contribute its unused resources to the collective pool, enhancing overall system versatility without sacrificing individual device functionality.
2Device complexity
If M2M devices operate independently with fixed capabilities, then device complexity is reduced, but system productivity and resource utilization deteriorate
Solution Approach 1:
The patent segments the M2M system into independent resource providers and resource consumers, connected through a standardized interface. This segmentation allows devices to maintain simple, well-defined functions while the collective system achieves high productivity through coordinated resource sharing and task distribution across multiple devices.
3Measurement precision
If M2M devices require dedicated resources for each request, then response accuracy is improved, but resource efficiency and system scalability deteriorate
Solution Approach 1:
The patent implements self-service by enabling M2M devices to automatically discover and utilize available resources from other devices without manual intervention. Devices can independently negotiate resource allocation, allocate computational tasks to appropriate providers, and maintain response accuracy through standardized interfaces while optimizing resource efficiency across the system.
Data Source
AI summary
An intelligent machine-to-machine (iM2M) device may collaborate with other devices to perform functions. An iM2M device may determine if it has the necessary resources to respond to a request. Upon determining that the resources needed to provide a response to the request are not available in the iM2M device, the iM2M device may negotiate with other devices in order to obtain a response to the request and/or resources to respond to the request. The other devices may send respective responses and/or resource back to the iM2M device. The iM2M device may, in turn, respond to the request.