Ambient IoT State Switching for Targeted Low-Power Operations
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Solution Overview
Problem
Existing technologies fail to manage ambient IoT devices efficiently, and their operation states, which are capable of performing IoT operations, such as inventory taking and/or command procedures, in a power-efficient and targeted manner, especially in diverse deployment scenarios.
Innovation Solution
The proposed solution involves managing ambient IoT devices by switching their operation states based on received messages, utilizing energy harvesting capabilities, and implementing a simple and controlled operation mechanism, such as by utilizing device identifiers and timers, facilitating efficient IoT operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If ambient IoT devices continuously monitor and perform operations, then operational capability is maintained, but energy consumption increases
Solution Approach 1:
The patent implements dynamic operation state switching, allowing devices to transition between active and low-power states based on operational needs. The operation state machine enables devices to adapt their operational characteristics in real-time, maintaining capability when needed while conserving energy during idle periods.
Solution Approach 2:
The patent employs periodic operation patterns where devices alternate between active monitoring/operation phases and low-power sleep phases. Timers control these periodic transitions, enabling devices to perform operations at intervals rather than continuously, thus reducing overall energy consumption while maintaining operational availability.
2Loss of energy
If operation states are frequently switched to manage energy, then energy efficiency improves, but operational complexity increases
Solution Approach 1:
The operation state machine serves multiple functions simultaneously: it manages energy states, tracks operational status, coordinates timers, and controls message handling. This multi-functional approach consolidates what could be separate complex systems into a single unified mechanism, reducing overall complexity while achieving energy efficiency.
Solution Approach 2:
The device autonomously manages its own operation states through the state machine and timers without requiring external control. The system self-regulates its power consumption and operational behavior based on internal state transitions, eliminating the need for complex external management infrastructure.
3Use of energy by moving object
If devices operate in low-power states to conserve energy, then energy consumption decreases, but response time to perform operations increases
Solution Approach 1:
The device performs preliminary actions by maintaining a ready state where essential functions remain active or can be quickly activated. Timers are pre-configured and operation state transitions are pre-planned, allowing the device to rapidly respond to operational requests without full cold-start delays, thus balancing energy savings with responsive performance.
Data Source
AI summary
Various aspects of the present disclosure relate to operating ambient Internet of Things (AIoT) devices based on their capabilities and/or associated target applications. For example, an AIoT device may receive a message from a reader device, switch operation states upon receiving the message, and perform an AIoT operation (e.g., an inventory or command procedure) after switching operation states. The reader device may initiate the switching of an AIoT device to a supported operation state for performing a requested AIoT operation, facilitating a targeted operation of the AIoT device for a specific or associated application.