An Adaptive Energy Saving Algorithm for an RSSI-Based Localization System in Mobile Radio Sensors

Area of Science:

• Wireless communication
• Localization systems
• Signal processing

Background:

• Localization systems rely on radio signals, but transmitter power and operating time affect reliability.
• Existing methods use various propagation models to estimate sensor-receiver distance.
• Optimizing power is crucial for energy efficiency in sensor networks.

Purpose of the Study:

• To present an adaptive power control algorithm for reference radio transmitters.
• To enable power-saving operation without compromising localization accuracy.
• To adjust system accuracy based on radiated energy and received signal strength.

Main Methods:

• Developed an adaptive power control algorithm for transmitters.
• Utilized Received Signal Strength Indication (RSSI) for power estimation.
• Integrated power-saving modes into the localization system.

Main Results:

• The algorithm allows transmitters to operate in a power-saving mode.
• Localization accuracy can be maintained at a desired level.
• Energy radiated by emitters is managed effectively based on RSSI.

Conclusions:

• Adaptive power control is effective for energy-efficient localization systems.
• RSSI-based power estimation enables dynamic accuracy adjustment.
• The proposed algorithm improves the reliability and operational time of sensors.