Wireless Sensor Delta Threshold Power Savings
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Solution Overview
Problem
Wireless sensors in sensing systems face significant power consumption challenges due to high energy expenditure in RF communication, which is not efficiently managed by existing technologies.
Innovation Solution
Implementing a wireless sensor system that uses a delta threshold to determine when to transmit environmental data, storing values when changes are minor and transmitting only when significant differences occur, with adjustable thresholds based on battery life, user input, and remote computing adjustments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If wireless sensors transmit sensor data frequently to ensure accurate environmental monitoring, then measurement precision is improved, but power consumption increases
Solution Approach 1:
The system dynamically changes the transmission parameter (delta threshold) based on battery life status. When battery life is above 50%, a first delta threshold is used; when below 50%, a second delta threshold is applied. This parameter adaptation resolves the contradiction by adjusting transmission frequency according to energy availability, maintaining measurement precision when power is sufficient while conserving energy when power is low.
Solution Approach 2:
The transmission strategy transitions from static to dynamic by continuously monitoring battery life and adjusting the delta threshold accordingly. The system adapts its data transmission behavior in real-time based on energy status, enabling it to maintain accurate environmental monitoring when power is available while automatically reducing transmission frequency to preserve battery life when power is depleted.
2Loss of information
If wireless sensors transmit all sensed values to ensure complete data reporting, then loss of information is reduced, but use of energy increases
Solution Approach 1:
The system uses a dynamic delta threshold parameter that changes based on battery life to control data transmission. When battery life is high, a smaller delta threshold ensures more frequent transmissions and better data completeness. When battery life is low, a larger delta threshold reduces transmissions to conserve energy, accepting some information loss as a necessary trade-off. This resolves the contradiction by making data completeness adaptive to energy availability.
3Productivity
If the delta threshold is set low to transmit more frequent updates, then productivity is improved, but loss of energy increases
Solution Approach 1:
The system dynamically adjusts the delta threshold based on real-time battery life monitoring. When battery life exceeds 50%, the system maintains higher productivity with a first delta threshold that enables frequent data transmissions. When battery life drops below 50%, the system reduces energy loss by switching to a second delta threshold that limits transmissions. This dynamic adaptation resolves the contradiction between productivity and energy loss.
Solution Approach 2:
The thermostat receives battery life status from the wireless sensor and provides feedback by adjusting the delta threshold accordingly. This feedback mechanism ensures that productivity (data transmission frequency) is optimized when energy is abundant, while energy loss is minimized when battery power is depleted, resolving the contradiction through closed-loop control.
Data Source
AI summary
A sensing system includes a wireless sensor configured to detect a current sensed value of an environmental condition, the wireless sensor programmed with a delta threshold; a thermostat in communication with the wireless sensor; wherein, when the current sensed value differs from a prior transmitted sensed value by more than the delta threshold, the wireless sensor transmits the current sensed value to the thermostat; wherein, when the current sensed value differs from the prior transmitted sensed value by less than the delta threshold, the wireless sensor stores the current sensed value as a stored sensed value.