IoT Resource Optimization via Dynamic Task Transfer
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Solution Overview
Problem
IoT devices in homes often operate inefficiently, with multiple devices performing tasks simultaneously, competing for network capacity and power, leading to increased power consumption and inefficiency, as they are not always in use or are in standby mode, wasting resources.
Innovation Solution
A system that tracks usage of IoT resources within an IoT network, identifies anticipated tasks and capacities, transfers tasks to optimize resource usage, generates excess capacity, and designates it for use by an arm's-length party, thereby reducing resource consumption and maximizing task performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If multiple IoT devices operate simultaneously to perform tasks, then task performance capability is improved, but power consumption and network resource usage increase
Solution Approach 1:
The patent combines multiple IoT devices into a coordinated network where tasks are dynamically allocated based on real-time capacity assessment. Devices that would otherwise operate independently and consume power simultaneously are merged into a unified system that shares workload, reducing overall power consumption while maintaining task performance capability.
Solution Approach 2:
The system dynamically adjusts task allocation based on real-time device capacity assessment. Instead of static task assignment, the system continuously monitors device states and redistributes tasks to match current capacity availability, optimizing power usage while ensuring tasks are performed when needed.
2Reliability
If IoT devices remain in standby mode to be available for tasks, then task response capability is improved, but resource waste increases
Solution Approach 1:
The system performs preliminary assessment of device capacity and anticipates future task requirements. By proactively identifying devices with available capacity and pre-positioning tasks or data, the system reduces the need for devices to remain in continuous standby mode, thereby reducing energy waste while maintaining reliable task response capability.
Solution Approach 2:
The system implements continuous feedback loops that monitor device capacity, task completion status, and power consumption. This feedback enables dynamic adjustment of device states, allowing devices to transition out of standby mode only when actually needed for task execution, thus reducing energy waste while maintaining task response reliability.
3Adaptability or versatility
If devices compete for network capacity to perform tasks, then individual device autonomy is maintained, but overall network efficiency decreases
Solution Approach 1:
The patent creates a universal task management framework that works across diverse IoT devices while preserving individual device characteristics. The system provides multi-functional capabilities including task allocation, capacity assessment, and coordination, allowing devices to maintain autonomy while participating in efficient network-wide task distribution that improves overall network productivity.
Data Source
AI summary
Approaches presented herein enable optimization of a plurality of resources connected within an Internet of Things (IoT) network. More specifically, usage of a first and a second resource of the plurality of resources connected within the IoT network is tracked. This usage comprises a task and a time at which the task is performed for each of the two resources. An anticipated task at an anticipated time based on the tracked usage of the first resource is identified. An anticipated capacity at substantially the same anticipated time is also identified on the second resource based on the tracked usage of the second resource. Excess capacity is generated on the first resource by transferring the anticipated first task to the second resource for the anticipated time. The excess capacity is designated for use by an arm's-length party. A load from the arm's-length party is then assigned to the excess capacity.