Wireless Communication Sleep Calibration for Stable Low-Power Connectivity
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Solution Overview
Problem
Battery-powered wireless devices, such as IoT devices, consume excessive power due to constant connectivity requirements, leading to reduced battery life, as they often remain in an 'awake' state to receive data and avoid network disassociation.
Innovation Solution
Implement a method where the wireless device calibrates its communication circuitry upon connection to a wireless access point, determines disconnection and traffic thresholds, and adjusts its sleep interval to minimize power consumption while maintaining performance, including reconnecting to access points with stronger signal strength if necessary.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the wireless device remains in an 'awake' state to receive data and avoid network disassociation, then connectivity reliability is improved, but power consumption increases
Solution Approach 1:
The patent applies dynamics by making the sleep interval adjustable rather than fixed. The device dynamically modifies its sleep interval based on network conditions, calibration results, and traffic patterns. The system transitions from a static awake state to a dynamic state where the device can adaptively switch between awake and sleep modes, optimizing the balance between connectivity reliability and power consumption.
Solution Approach 2:
The patent implements feedback mechanisms where the device monitors network conditions, disconnection events, and traffic patterns. Based on this feedback, the device adjusts its sleep interval. The system uses feedback from calibration processes and network performance metrics to continuously optimize the wake-sleep cycle, ensuring connectivity reliability is maintained while reducing power consumption.
2Duration of action of moving object
If the sleep interval is increased to reduce power consumption, then battery life is extended, but connectivity responsiveness deteriorates
Solution Approach 1:
The patent uses dynamics to make the sleep interval adjustable rather than fixed. The device dynamically modifies its sleep interval based on network conditions, calibration results, and traffic patterns. The system transitions from a static awake state to a dynamic state where the device can adaptively switch between awake and sleep modes, optimizing the balance between connectivity reliability and power consumption.
Solution Approach 2:
The patent applies parameter changes by modifying the sleep interval parameter based on various conditions. The device changes the sleep interval parameter dynamically according to network stability, calibration outcomes, and traffic patterns. This parameter adjustment allows the system to extend battery life while maintaining acceptable connectivity responsiveness by optimizing the wake-sleep cycle timing.
3Use of energy by moving object
If the device performs frequent calibration and monitoring to optimize sleep intervals, then power consumption optimization is improved, but device complexity increases
Solution Approach 1:
The patent applies self-service by implementing automated calibration and monitoring processes. The device performs self-calibration of its communication circuitry and automatically monitors network conditions without requiring manual intervention. The system uses self-service mechanisms to track disconnection events, analyze traffic patterns, and autonomously adjust sleep intervals, reducing the need for complex external control systems while achieving power consumption optimization.
Solution Approach 2:
The patent implements feedback mechanisms where the device monitors network conditions, disconnection events, and traffic patterns. Based on this feedback, the device adjusts its sleep interval. The system uses feedback from calibration processes and network performance metrics to continuously optimize the wake-sleep cycle, ensuring connectivity reliability is maintained while reducing power consumption.
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.