Alert-Based Communication System for Coordinating Multi-User Interactions
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current communication systems lack an efficient method for coordinating interactions between clients and servers in a wireless communication framework, particularly in managing and correlating data types across multiple user interactions.
Innovation Solution
A communication system comprising client devices and a remote interaction processing infrastructure that transmit and receive alerts, correlating different data types to facilitate interaction between users, with each device configured to store, display, and transmit information through wireless communication components.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a wireless communication system transmits multiple data types between client devices and servers, then communication versatility is improved, but system complexity increases
Solution Approach 1:
The patent segments the communication system into distinct client devices and server components, each handling specific data types (first data type, second data type, third data type) separately. This modular segmentation allows the system to support multiple communication scenarios without requiring every component to handle all data types, thereby maintaining versatility while managing complexity.
Solution Approach 2:
The server is designed with universal functionality to receive, process, and correlate multiple data types (first, second, and third data types) from different client devices. This multi-functional design allows a single server component to handle diverse communication needs, improving system versatility without proportionally increasing overall system complexity.
2Loss of information
If the system correlates multiple data types from different users, then information completeness is improved, but processing time increases
Solution Approach 1:
The server performs preliminary correlation of first information with second information from different users before final processing. By pre-establishing relationships between data types and users, the system reduces the processing time required during actual communication operations, while still achieving complete information correlation when needed.
Solution Approach 2:
The system implements feedback mechanisms where the server correlates data types and provides responses to client devices. This feedback loop allows the system to optimize processing by learning from correlation patterns, reducing processing time for subsequent operations while maintaining information completeness through iterative refinement.
3Adaptability or versatility
If client devices transmit alerts with multiple data types, then communication capability is improved, but energy consumption increases
Solution Approach 1:
Client devices transmit alerts containing only the necessary data types required for specific communication scenarios rather than all possible data types. This partial action approach allows the system to maintain full communication capability when needed while reducing energy consumption during routine operations by transmitting minimal required information.
Data Source
AI summary
Systems and methods for coordinating communications with alerts are disclosed herein. The systems include: a first client device and one or more second devices which each access a remote server. The first client device, the remote interaction processing infrastructure or server processor, and the second client devices communicate with one another via alerts, for example, to create and maintain databases.