Dynamic Wireless Service Suspension for Mobile Battery Conservation
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Solution Overview
Problem
The rapid battery drain in mobile computer devices caused by multiple simultaneous connections to internet services is not effectively addressed by existing technologies, leading to premature battery depletion and inefficient battery life management.
Innovation Solution
A method that determines the most active device among a set of computer devices used by a single user and adjusts the operational mode of less active devices by turning off or reducing wireless transceiver hardware or communication frequency to conserve energy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple internet services run simultaneously on multiple mobile devices, then service availability and accessibility are improved, but battery life deteriorates due to increased energy consumption
Solution Approach 1:
The system dynamically adjusts the operational state of internet services based on real-time device activity detection. When a device is detected as inactive, the service transitions from an active state to a suspended state, and vice versa when activity is detected. This dynamic state adjustment allows the service to adapt to changing usage patterns across multiple devices, maintaining availability when needed while conserving battery life during periods of inactivity.
Solution Approach 2:
The system implements self-service through automated activity monitoring and service state management. The service automatically detects device activity levels, determines which device should be active, and adjusts its operational state without requiring manual user intervention. This self-managing approach ensures optimal battery utilization while maintaining service accessibility across the user's device ecosystem.
2Speed
If wireless services remain active on standby devices, then quick reactivation and service continuity are improved, but unnecessary energy consumption increases
Solution Approach 1:
The system employs periodic activity monitoring to determine when devices are in use versus standby. Instead of maintaining continuous active service on all devices, the service periodically checks for device activity and adjusts its state accordingly. This periodic approach allows the service to remain quickly reactivatable while minimizing energy consumption during extended standby periods by suspending operations on inactive devices.
3Duration of action of moving object
If activity monitoring and service adjustment mechanisms are implemented, then battery efficiency is improved, but system complexity increases
Solution Approach 1:
The activity monitoring and service adjustment system operates autonomously without requiring complex user configuration or manual intervention. The service automatically monitors device activity, determines appropriate active devices, and adjusts its operational state accordingly. This self-service approach simplifies the user experience while achieving improved battery efficiency, as the complexity is managed automatically by the system rather than requiring complex user workflows.
Data Source
AI summary
Communications systems including multiple computer devices where: (i) for a set of computer devices, used by a common user, it is determined which computer device the user is most actively using; and (ii) an operational mode of a “wireless service” (see definition, below) on one of the other computer devices (that is, a non-most-active computer device) is changed in its operational mode. For example, if a user has two smart phones and the user's first smart phone is determined to be more active than the second smart phone, then on the second smart phone (that is, the non-most-active computer device) a social media home page updating service is turned off. In some embodiments, the change from first operational mode to second operational mode will mean that wireless transceiver hardware (such as an antenna) is turned off for the non-most-active device(s).