Sensor Node Battery Life Prediction via Dynamic Sensing Rate Control
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional sensor nodes inaccurately predict battery life due to errors in calculating the sensing cycle based on remaining battery capacity, leading to a widening discrepancy between predicted and actual operation times.
Innovation Solution
A sensor node control method that calculates and adjusts the sensing rate by dividing the remaining battery capacity by energy consumption per sensing and operation time, using a controller with a network profiler, HEMA, and operation time optimizer to optimize sensing operations and extend battery life.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Duration of action of stationary object
If the sensing cycle is set by dividing remaining battery capacity by energy consumed, then the sensor node can operate continuously, but the prediction accuracy of battery use time deteriorates over time
Solution Approach 1:
The patent implements feedback by periodically monitoring actual battery consumption and comparing it with predicted values. The controller adjusts the sensing cycle based on the difference between actual and predicted battery use time, creating a closed-loop control system that continuously improves prediction accuracy while maintaining continuous operation.
Solution Approach 2:
The sensing cycle is made dynamic rather than static. The controller adjusts the sensing cycle length in real-time based on actual battery consumption patterns, environmental conditions, and operational requirements. This dynamic adaptation allows the system to maintain accurate predictions while extending battery use time.
2Device complexity
If the sensing cycle is randomly set, then the sensor node structure remains simple, but the prediction accuracy of battery use time deteriorates
Solution Approach 1:
The sensor node performs self-optimization by automatically monitoring its own battery consumption and adjusting its sensing cycle without external intervention. The controller uses built-in sensors and processors to analyze actual consumption patterns and autonomously optimize the sensing cycle, achieving high prediction accuracy while keeping the overall system relatively simple.
3Weight of moving object
If the sensor node operates with limited battery capacity, then the portability is improved, but the operation time is reduced
Solution Approach 1:
The system changes operational parameters dynamically, particularly the sensing cycle length and data transmission frequency, to optimize the trade-off between battery capacity and operation time. By adjusting these parameters based on actual consumption patterns and environmental conditions, the system maximizes operation time within the constraints of limited battery capacity.
Data Source
AI summary
A sensor node for accurately guaranteeing a lifetime of a USN sensor node, and a control method thereof are provided. The sensor node control method includes receiving an operation time of a sensor node from a user; based on the input operation time, calculating a sensing rate which is the number of sensings of the sensor node per unit time; and according to the calculated sensing rate, controlling a sensing operation of the sensing node.