Ambient IoT Transmission Scheduling for Energy-Limited Devices
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Solution Overview
Problem
Existing wireless communication systems face challenges in powering a large number of IoT devices with limited energy storage, leading to high maintenance costs and inefficiencies in energy management, particularly for Ambient IoT devices with varying energy levels.
Innovation Solution
Implementing energy-aware scheduling for Ambient IoT devices by selecting transmission intervals based on their energy capabilities, allowing devices to transmit at different times within an inventory round, reducing collisions and optimizing energy usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional scheduling is used for IoT devices, then all devices can transmit data, but energy consumption increases and operational lifespan decreases
Solution Approach 1:
The patent changes the transmission scheduling parameter from uniform timing to energy-based timing. Devices transmit at different intervals based on their energy levels, with higher energy devices transmitting more frequently and lower energy devices transmitting less frequently. This parameter change resolves the contradiction by optimizing the balance between data transmission efficiency and energy consumption.
2Ease of operation
If uniform transmission intervals are assigned to all devices, then scheduling is simple, but collisions increase and energy management becomes inefficient
Solution Approach 1:
The patent applies local quality by assigning different transmission intervals to different devices based on their individual energy characteristics. Instead of uniform scheduling, each device receives a customized transmission schedule proportional to its energy availability. This resolves the contradiction by making the system slightly more complex in scheduling but significantly improving transmission reliability through collision reduction.
3Loss of time
If devices with limited energy storage transmit frequently, then data freshness improves, but energy depletes faster reducing operational lifespan
Solution Approach 1:
The patent implements dynamic transmission scheduling where the transmission interval is adjusted based on current energy levels. As devices consume energy, their transmission intervals automatically extend, and when recharged, intervals shorten again. This dynamic adaptation resolves the contradiction by ensuring data is transmitted frequently enough to maintain freshness while preventing energy depletion that would reduce operational lifespan.
4Loss of energy
If energy-aware scheduling is implemented, then energy efficiency improves, but system complexity increases
Solution Approach 1:
The patent implements self-service by having devices autonomously determine their own transmission intervals based on their energy levels and pre-configured rules. Each device independently calculates its optimal transmission schedule without requiring complex centralized control or inter-device coordination. This resolves the contradiction by achieving high energy efficiency through simple, decentralized decision-making at each device.
Data Source
AI summary
Various aspects of the present disclosure relate to energy aware scheduling for wireless devices. A wireless device receives a configuration for communication with a reader. The wireless device selects, based at least in part on a rule or formula, an interval of a plurality of intervals for transmission. The wireless device transmits, within an occasion of one of the plurality of intervals for transmission, at least one of random access or an electronic product code identifier.