Wireless Device Communication Synchronization via Delay Tolerance
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
There is a need for efficient and cost-effective mechanisms to manage communication policies, particularly for delaying transmissions in wireless devices to address capacity and power consumption issues due to increased network traffic and the use of multi-radio devices.
Innovation Solution
The system employs a method and device that receive information about transmit delay tolerance from applications via an API, determining when to transmit packets based on this tolerance, which allows for the aggregation and delayed transmission of data, thereby conserving power and managing network resources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If applications transmit communications immediately without delay, then communication responsiveness is improved, but power consumption increases and network capacity is strained
Solution Approach 1:
The system dynamically adjusts transmission timing based on delay tolerance parameters. Applications specify their maximum acceptable delay, and the system selectively delays transmissions for delay-tolerant applications while maintaining immediate transmission for time-sensitive applications. This dynamic approach balances responsiveness with power conservation.
Solution Approach 2:
The system changes the transmission parameter (timing) based on application-specific delay tolerance values. By varying the transmission delay parameter according to each application's requirements, the system optimizes both responsiveness and power consumption differently for different applications.
2Adaptability or versatility
If multiple applications transmit simultaneously, then application functionality is maintained, but network capacity problems occur and power consumption increases
Solution Approach 1:
The system merges transmissions from multiple delay-tolerant applications into aggregated transmission bursts. Instead of individual applications transmitting separately, their data is combined and sent together at optimized times, reducing overall network traffic volume while maintaining all application functionalities.
Solution Approach 2:
The system implements periodic transmission bursts for aggregated data from multiple applications. Rather than continuous or immediate transmission, data is accumulated and transmitted in periodic intervals, reducing network traffic load while preserving application functionality.
3Duration of action of moving object
If transmissions are delayed to conserve power, then battery life is extended, but communication delay increases
Solution Approach 1:
The system applies different delay strategies to different applications based on their specific delay tolerance characteristics. Time-sensitive applications receive immediate transmission with minimal delay, while delay-tolerant applications are subjected to longer delays for power conservation. This localized quality approach ensures each application receives appropriate treatment.
Solution Approach 2:
The system segments applications into different categories based on their delay tolerance. By dividing applications into time-sensitive and delay-tolerant groups, the system can apply differentiated transmission strategies that extend battery life for appropriate applications without compromising critical communications.
4Speed
If immediate transmission is used, then network responsiveness is maintained, but capacity problems arise due to increased network traffic
Solution Approach 1:
The system performs preliminary assessment of application delay tolerance before transmission. By evaluating which applications can tolerate delay in advance, the system prepares optimized transmission schedules that maintain responsiveness for critical applications while reducing overall traffic volume for non-critical ones.
Solution Approach 2:
The system maintains continuous monitoring and management of application transmissions, ensuring that delay tolerance parameters are continuously evaluated and transmission timing is continuously optimized. This continuous action preserves network responsiveness while systematically reducing capacity strain through intelligent scheduling.
Data Source
AI summary
Systems, methods, and devices for managing application communications are described herein. In some aspects, a wireless device is configured to execute a plurality of applications and to communicate with a communication network. The wireless device includes a processor configured to receive information from an application, via an application programming interface. The information is indicative of a transmit delay tolerance. The processor is further configured to receive, via the application programming interface, a packet from the application. The wireless device further includes a network driver configured to determine when to transmit the packet based on the received transmit delay tolerance.