Ambient Power Device Charging via TWT Scheduling
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Solution Overview
Problem
Ambient power devices face challenges in maintaining sufficient energy storage levels due to inconsistent availability of ambient energy sources, leading to frequent discharge and potential failure in data generation and transmission, with existing techniques lacking a method to predict data transmission times and recharge energy storages accordingly.
Innovation Solution
A system and method involving a processor and memory with transmission scheduling logic to detect ambient power devices, determine device profiles, generate schedules, and transmit Target Wake Time (TWT) schedules to manage energy storage recharging and data transmission, utilizing RF channels for communication and energy transfer.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If ambient power devices frequently recharge energy storages to avoid data transmission failure, then reliability of data transmission is improved, but device complexity and energy management overhead increase
Solution Approach 1:
The system performs preliminary actions by predicting future data transmission times and proactively scheduling recharging operations before energy depletion occurs. The server calculates optimal recharging schedules based on predicted transmission times, ensuring energy storages are recharged just in time without requiring frequent monitoring or complex real-time adjustments, thus improving reliability while managing complexity.
Solution Approach 2:
The system implements feedback mechanisms where ambient power devices transmit their energy storage status and transmission requirements to the server. The server uses this feedback information to dynamically adjust recharging schedules, optimizing the balance between reliability and complexity by adapting to actual device conditions rather than using fixed complex management protocols.
2Use of energy by moving object
If ambient energy sources are used to recharge energy storages, then energy efficiency is improved, but consistency and availability of energy supply deteriorate
Solution Approach 1:
The system uses preliminary action by predicting future energy needs and scheduling recharging operations in advance. The server calculates optimal recharging times based on predicted data transmission requirements and device energy storage levels, ensuring that ambient energy sources are harvested and stored at times when energy availability is most likely to be sufficient, thereby compensating for the inconsistent nature of ambient energy supply.
Solution Approach 2:
The system applies parameter changes by dynamically adjusting recharging schedules and energy management parameters based on predicted transmission times and current energy storage levels. The server modifies recharging timing, duration, and intensity parameters to optimize the balance between capturing sufficient energy from inconsistent ambient sources and maintaining reliable data transmission capability.
3Reliability
If energy storages of ambient power devices are frequently recharged, then data transmission reliability is improved, but loss of time for recharging operations increases
Solution Approach 1:
The system performs preliminary scheduling of recharging operations based on predicted transmission times. By calculating optimal recharging schedules in advance and communicating them to devices, the system ensures that recharging occurs only when necessary and for the minimum required duration, reducing time loss while maintaining reliability through proactive rather than reactive energy management.
Solution Approach 2:
The system implements periodic action through scheduled recharging cycles that are optimized based on device-specific energy storage capacities and transmission requirements. Rather than continuous or frequent recharging, the system uses periodic action with variable intervals, allowing devices to operate during service intervals and recharge during service periods, thereby reducing overall time loss while ensuring reliability.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The system optimizes energy efficiency and reliability of ambient power devices by synchronizing data transmission with recharging, minimizing power consumption and data loss through intelligent scheduling and energy management.
Implementation Method 1
transmit the at least one control frame to the ambient power device during the service period on a first Radio Frequency (RF) channel
Implementation Method 2
The ambient power device can be an active device, i.e., with an energy storage such as a capacitor or a battery etc. or the ambient power device can be a passive device
Data Source
AI summary
Devices, networks, systems, methods, and processes for scheduling transmissions from a plurality of ambient power devices are described herein. An Access Point (AP) may determine device profile data of an ambient power device. The AP can generate a Target Wake Time (TWT) schedule based on the device profile data. The TWT schedule may include service period and service interval. The ambient power device can function in a semi-sleep mode during the service interval and can generate or process data and store the data. The ambient power device may switch to a transmission mode during the service period. In the transmission mode, the ambient power device can generate and transmit one or more uplink frames to the AP. The ambient power device may also receive one or more charging frames. The ambient power device can charge an energy storage based on the one or more charging frames.