Communication Channel Selection Using Command Categorization
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Solution Overview
Problem
Current communication channel selection methods primarily focus on speed and distance, neglecting other critical characteristics, which can lead to suboptimal information delivery experiences.
Innovation Solution
A method and system that separates communications into logical units, categorizes them based on command types, and measures communication channels using characteristics like latency and processing power to select the most suitable channel for efficient data transfer.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If communication channel selection is based only on speed and distance, then the selection process is simple, but the delivery experience is suboptimal
Solution Approach 1:
The patent changes the parameters used for channel selection from just speed and distance to include multiple characteristics such as latency, bandwidth, and processing power. This allows the system to evaluate channels based on a comprehensive set of parameters that better reflect actual communication performance, thereby improving delivery experience while maintaining automated selection simplicity.
2Measurement precision
If multiple communication characteristics are measured, then channel selection accuracy is improved, but measurement complexity increases
Solution Approach 1:
The patent segments the measurement process into distinct components: latency measurement, bandwidth measurement, and processing power measurement. Each characteristic is measured separately using dedicated methods, and the results are aggregated to form a comprehensive channel evaluation. This segmentation reduces overall complexity by making each individual measurement task manageable and independent.
3Productivity
If communications are separated into units and categorized, then processing efficiency is improved, but system complexity increases
Solution Approach 1:
The patent segments communications into discrete units and categorizes them based on command types (single-command vs. multi-command units). This segmentation allows the system to apply different processing strategies to different categories, improving overall processing efficiency by optimizing for each type rather than using a single generic approach for all communications.
Solution Approach 2:
The patent applies different processing qualities to different communication units based on their categorization. Single-command units receive one type of processing optimization, while multi-command units receive another type. This local quality approach ensures that each communication unit is handled in the most efficient manner appropriate to its specific characteristics, thereby improving overall productivity.
Data Source
AI summary
A method for selecting at least one communication channel based on a plurality of communication channel characteristics is provided. The method may include receiving a plurality of communications. The method may further include separating the received plurality of communications into a plurality of units. Additionally, the method may include categorizing the plurality of units based on a number of commands associated with the plurality of units. The method may also include measuring a plurality of communication channels based on the categorized plurality of units, the number of commands, and the plurality of communication channel characteristics. The method may further include selecting the at least one communication channel associated with the measured plurality of communication channels to process at least one unit associated with the categorized plurality of units.