RSSI: A Range-Based Localization Method in Wireless Sensor Networks

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Resource Overview

RSSI (Received Signal Strength Indicator) serves as a range-based localization technique in wireless sensor networks, utilizing a log-normal shadowing model for distance estimation in this implementation.

Detailed Documentation

RSSI (Received Signal Strength Indicator) represents a range-based localization approach in wireless sensor networks. This implementation employs the log-normal shadowing model to estimate distances. RSSI measures signal strength to approximate the distance between transmitting and receiving nodes. The log-normal model is a widely adopted statistical model that expresses the relationship between signal strength and distance through logarithmic functions. By collecting and analyzing multiple RSSI values, distance estimation can be performed using the log-normal model to achieve localization capabilities. In our program, the distance measurement algorithm implements the log-normal path loss model with configurable parameters including path loss exponent and reference distance, enabling precise localization results through maximum likelihood estimation or linear regression techniques applied to the RSSI-distance relationship.

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