Wireless Server Device Dynamic Client Selection for Battery Conservation
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Solution Overview
Problem
Current systems for managing connections in wireless networks, particularly for mobile devices acting as access points, are inefficient due to battery power constraints and variable communication capabilities, leading to suboptimal data throughput and energy consumption.
Innovation Solution
A method and system for selecting and managing client devices in a wireless network by evaluating communication characteristics such as battery level and bandwidth, categorizing devices, and identifying potential replacements for access points to ensure efficient data transfer and conserve battery power.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If wireless hubs maintain wireless connections for associated devices, then network connectivity is provided, but battery power is consumed
Solution Approach 1:
The patent implements dynamic connection management where the wireless hub evaluates communication characteristics (signal strength, data rate, battery level) and adjusts connections in real-time. The hub can transition between maintaining connections and entering power-saving modes based on current network conditions and device requirements, resolving the contradiction between maintaining reliable connectivity and conserving battery power.
Solution Approach 2:
The system changes operational parameters such as transmission power levels, connection states, and evaluation criteria based on device battery levels and communication needs. Devices with low battery are evaluated differently than those with sufficient power, allowing the network to optimize overall energy consumption while maintaining essential connectivity for critical devices.
2Adaptability or versatility
If devices with variable communication capabilities are allowed to connect, then network flexibility is improved, but data throughput becomes suboptimal
Solution Approach 1:
The patent applies different connection management strategies to different devices based on their specific communication capabilities and battery characteristics. Rather than treating all devices uniformly, the system evaluates each device's signal strength, data rate capability, and power status to determine optimal connection parameters, thereby maintaining high throughput for capable devices while allowing flexible connectivity for devices with limited capabilities.
Solution Approach 2:
The system selectively maintains full-strength connections for only those devices that require high throughput, while using partial connections or reduced-power modes for devices with lower requirements. This partial action approach ensures optimal data throughput for critical communications while conserving energy and maintaining network flexibility for less demanding devices.
3Use of energy by moving object
If efficient connection management is implemented, then energy consumption is optimized, but system complexity increases
Solution Approach 1:
The patent implements self-service mechanisms where devices and hubs automatically evaluate communication characteristics and make connection decisions without extensive external control. The evaluation module autonomously assesses signal strength, data rate, and battery levels to determine connection status, reducing the need for complex centralized management while achieving efficient energy optimization through distributed intelligence.
Data Source
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AI summary
The disclosure recites a system and method for selecting a client device for a server device managing communications for a wireless network. The method comprises: identifying a set of wireless devices that are communicating in the network; and identifying a set of client devices in the set of wireless devices to communicate with the network through the server device by evaluating network communication characteristics of members in the set.