Adaptive Wi-Fi Network Scanning for Power Optimization
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Solution Overview
Problem
Wireless devices face a power drain due to frequent network scans, which can degrade user experience by reducing responsiveness and battery life, as they continually search for alternative wireless networks while moving.
Innovation Solution
Adaptive scanning methods that adjust the period of network scans based on the device's location and speed, using geo-location signals to determine position changes and adjust scanning frequencies, thereby reducing power consumption and enhancing user experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If frequent network scans are performed to maintain network connectivity and responsiveness, then user experience and network responsiveness are improved, but power consumption increases
Solution Approach 1:
The patent implements dynamic scan interval adjustment where the wireless device adapts its scanning behavior based on detected motion states. When motion is detected, scan intervals are reduced to maintain connectivity; when stationary, scan intervals are extended to conserve power. This dynamic adaptation resolves the contradiction by making scan frequency conditional rather than fixed.
Solution Approach 2:
The system changes the time parameter (scan interval) based on device state. By modifying the scan period from a constant value to a variable value that depends on motion detection results, the system optimizes the balance between connectivity reliability and power consumption for different operational scenarios.
2Use of energy by moving object
If scan interval is increased to reduce power consumption, then battery life is extended, but network responsiveness and user experience degrade
Solution Approach 1:
The system dynamically adjusts scan intervals based on real-time motion detection. When the device is stationary, longer scan intervals are used to extend battery life. When motion is detected, the system automatically reduces scan intervals to maintain network responsiveness, thus preventing degradation of user experience while maximizing battery efficiency.
Solution Approach 2:
The scan interval parameter is changed from a fixed long duration to a variable duration that adapts to device motion state. This parameter transformation allows the system to achieve extended battery life during stationary periods while maintaining responsiveness during movement through automated parameter adjustment.
3Reliability
If continuous scanning is performed while moving to maintain connectivity, then network availability is ensured, but power drain increases significantly
Solution Approach 1:
The system implements periodic scanning with variable periods based on motion state. Instead of continuous scanning, the device performs scans at intervals that are adjusted according to whether motion is detected. This periodic approach with adaptive intervals reduces power drain while maintaining network availability when needed.
Solution Approach 2:
The wireless device autonomously monitors its own motion state and self-adjusts its scanning behavior accordingly. The motion detection component provides feedback to the scanning controller, enabling the device to automatically optimize its power consumption and network scanning without user intervention, thus reducing unnecessary power drain.
Data Source
AI summary
A method and apparatus for a wireless device that can adapt a rate of related wireless network unit scans for adjacent networks is disclosed. In one embodiment, the wireless device can include a wireless network unit and a co-located geo-location signal receiver, and a processor. The processor can determine the position and speed of the wireless device from data received from the geo-location signal receiver. The processor can configure the wireless network unit to adapt the rate of related wireless network scans based upon determined speed and position. In one embodiment, the wireless network unit scans can be wireless scans for other nearby networks for roaming or location based services.