Wireless Sleep Interval Control for Longer IoT Battery Life
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Battery-powered wireless devices, such as IoT devices, consume excessive power due to consistently maintaining an 'awake' state to receive data, leading to rapid battery drain and reduced life, as they lack standardized protocols for optimizing sleep intervals and network disconnections.
Innovation Solution
The wireless device performs calibration upon connection to an access point, determining disconnection and traffic levels to adjust sleep intervals dynamically, increasing intervals when disconnections or traffic are low, and reconnecting to stronger access points when signal strength deteriorates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the wireless device maintains an 'awake' state to receive data without latency, then data reception reliability is improved, but power consumption increases
Solution Approach 1:
The patent implements dynamic adjustment of sleep intervals based on network conditions. The device transitions from static wakefulness to dynamic sleep-wake cycles, adjusting the sleep interval duration according to disconnection counts and traffic patterns. This resolves the contradiction by allowing the device to be awake only when necessary for reliable data reception while sleeping to conserve power during stable periods.
Solution Approach 2:
The patent employs feedback mechanisms where the device monitors disconnection events and traffic patterns, then adjusts its sleep interval accordingly. The feedback loop tracks network stability and modifies wakefulness duration based on observed conditions, ensuring reliable data reception when needed while minimizing power consumption during stable network conditions.
2Use of energy by moving object
If the wireless device increases sleep interval to reduce power consumption, then power consumption is reduced, but network connection stability deteriorates
Solution Approach 1:
The sleep interval is dynamically adjusted based on network conditions rather than being fixed. When disconnection counts are low and traffic patterns are favorable, the device extends sleep intervals to save power. When disconnections increase or traffic patterns change, the device reduces sleep intervals to maintain connection stability, thus resolving the contradiction between power savings and connection reliability.
Solution Approach 2:
The patent changes the sleep interval parameter based on monitored network conditions. By adjusting this critical parameter in response to disconnection counts and traffic patterns, the device optimizes the balance between power consumption and connection stability, extending sleep intervals when stable and shortening them when network conditions deteriorate.
3Loss of time
If the wireless device frequently wakes to check for data, then data reception timeliness is improved, but battery life is reduced
Solution Approach 1:
The device dynamically adjusts wake frequency based on network conditions and traffic patterns. Instead of frequent fixed-interval wakeups, the device extends sleep intervals during stable periods and reduces them when data transmission is likely, optimizing the balance between timely data reception and battery conservation.
Solution Approach 2:
The patent implements periodic wake-sleep cycles with variable periods. The wake interval is adjusted periodically based on monitored disconnection counts and traffic patterns, creating an adaptive periodic action pattern that maintains data reception timeliness while extending battery life through optimized sleep duration.
4Use of energy by moving object
If the wireless device adapts sleep interval based on network conditions, then power consumption is optimized, but device complexity increases
Solution Approach 1:
The device performs self-adjustment of sleep intervals based on its own monitoring of network conditions. By autonomously tracking disconnection counts and traffic patterns and adjusting its own wake-sleep cycle, the device optimizes power consumption without requiring complex external control systems, thus managing device complexity while achieving power optimization.
Data Source
AI summary
A method of reducing a power consumption of a wireless device according to one embodiment includes performing, by the wireless device, a calibration of wireless communication circuitry of the wireless device in response to establishing a wireless communication connection with a wireless access point, determining, by the wireless device, a number of disconnections between the wireless device and the wireless access point over a predefined period of time, and increasing, by the wireless device, a sleep interval of the wireless communication circuitry of the wireless device in response to determining the number of disconnections between the wireless device and the wireless access point over the predefined period of time is less than a threshold number of disconnections.