Wireless Device Data Transmission Delaying for Energy Reduction
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Solution Overview
Problem
Wireless devices, especially M2M devices, face battery drain issues due to high energy consumption during data transmission, particularly in high traffic conditions or when transmitting large amounts of data, leading to increased costs and resource usage.
Innovation Solution
A method and device that determine the delay tolerance of data and predict transmission costs for candidate connections within that tolerance, allowing the device to decide whether to transmit immediately or delay transmission to a more cost-effective time, thereby reducing energy consumption and resource usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If data is transmitted immediately, then transmission delay is reduced, but energy consumption increases
Solution Approach 1:
The system performs preliminary actions by determining delay tolerance and predicting transmission costs before actually transmitting data. This allows the device to proactively decide whether to delay transmission, avoiding immediate transmission when it would be energy-inefficient while still meeting deadline requirements.
Solution Approach 2:
The transmission decision is made dynamic by continuously evaluating current network conditions, cost predictions, and delay tolerances. The system adapts its transmission timing based on real-time assessments rather than following a fixed schedule, optimizing the balance between timely delivery and energy efficiency.
2Reliability
If data is transmitted during peak network usage, then network availability is ensured, but transmission cost increases
Solution Approach 1:
The system uses feedback mechanisms by continuously monitoring network conditions and cost predictions to make informed transmission decisions. The feedback loop evaluates whether current conditions favor immediate transmission or if delaying would be more cost-effective, allowing the device to adapt to network dynamics.
Solution Approach 2:
The system changes the transmission timing parameter based on evaluated conditions. By adjusting when data is transmitted rather than following a fixed schedule, the device can avoid peak cost periods while ensuring transmission occurs within acceptable delay boundaries, thus reducing energy consumption without compromising reliability.
3Use of energy by moving object
If transmission timing is optimized for cost, then energy consumption is reduced, but transmission delay increases
Solution Approach 1:
The system performs preliminary assessment of delay tolerance before making transmission decisions. By determining the maximum acceptable delay in advance, the system can safely delay transmission for cost optimization without risking excessive delays that would compromise data utility or application requirements.
Data Source
AI summary
A method and a wireless device (100) for handling transmission of data. The cost for transmitting the data from the wireless device (100) can be reduced or even minimized by delaying (1:3) transmission until the transmission cost becomes lower, provided that the data can wait without becoming obsolete or useless at the receiving side. This is made possible by determining a delay tolerance of the data and determining a cost prediction for transmission (1:6) within said delay tolerance, e.g. when a cheaper connection (1:4) is used. Advantages may include reduced price to pay for the transmission, less energy consumption, and avoided usage of precious radio resources and network resources at times when the traffic load is high.