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An Artificial Measurements-Based Adaptive Filter for Energy-Efficient Target Tracking via Underwater Wireless Sensor
Huayan Chen1,2, Senlin Zhang3, Meiqin Liu4,5
1State Key Laboratory of Industrial Control Technology, Hangzhou 310027, China. chenhuayan@zju.edu.cn.
Sensors (Basel, Switzerland)
|April 28, 2017
Summary
This study introduces an energy-efficient filter for underwater wireless sensor networks (UWSNs) to balance tracking accuracy and communication costs. The proposed method reduces energy consumption, extending network lifetime without significantly compromising target tracking performance.
Area of Science:
- Marine engineering
- Sensor networks
- Signal processing
Background:
- Underwater wireless sensor networks (UWSNs) face challenges with limited battery life, impacting overall network longevity.
- Energy conservation is critical for extending the operational duration of battery-powered UWSN sensors.
- Maintaining sufficient target tracking accuracy while minimizing energy expenditure is a key objective.
Purpose of the Study:
- To propose an energy-efficient filter for UWSNs that optimizes the trade-off between communication costs and tracking accuracy.
- To enhance the network lifetime by reducing energy consumption without sacrificing essential tracking performance.
Main Methods:
- A distributed fusion framework is employed, where sensors selectively transmit data based on measurement residuals.
- Artificial measurements are generated to compensate for un-transmitted real measurements, ensuring tracking accuracy.
- An adaptive scheme and an optimal sensor selection scheme are developed to maximize energy efficiency and tracking performance.
Main Results:
- The proposed filter effectively balances communication cost and tracking accuracy.
- Significant energy savings are achieved with minimal loss in tracking accuracy.
- Improved tracking performance is demonstrated with only a marginal increase in energy cost.
Conclusions:
- The developed energy-efficient filter offers a superior trade-off between communication cost and tracking accuracy in UWSNs.
- The adaptive and sensor selection schemes contribute to enhanced energy efficiency and network lifetime.
- The findings are valuable for designing long-lasting and effective underwater monitoring systems.
