RSSI-Based Wireless Sensor Network Localization
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RSSI-based wireless sensor network localization is a commonly used positioning algorithm. This algorithm determines wireless node positions by analyzing Received Signal Strength Indication (RSSI) values. By measuring signal strength between nodes, the distance between nodes can be calculated, enabling accurate position determination. This algorithm is widely applied in wireless sensor networks to meet localization requirements.
From an implementation perspective, the algorithm typically involves signal propagation modeling using log-normal shadowing models, where RSSI values are converted to distance estimates through calibration parameters. Key functions include RSSI data collection from sensor nodes, signal filtering to reduce noise, and triangulation/trilateration algorithms for position calculation. The implementation often requires path loss exponent calibration and may incorporate fingerprinting techniques for improved accuracy in complex environments.
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