Localization in Wireless Sensor Grids
Chen Zhang, Ted Herman

TL;DR
This paper presents a practical and efficient radio-based localization method for wireless sensor grids using RSSI, fuzzy logic, and table lookup, achieving 86% accuracy despite high measurement errors.
Contribution
It introduces novel techniques like fuzzy membership functions and table lookup to improve localization accuracy and simplify computation in sensor networks.
Findings
Achieved 86% localization accuracy in experiments
Fuzzy membership functions improve distance estimation
Method remains effective despite 60% RSSI errors
Abstract
This work reports experiences on using radio ranging to position sensors in a grid topology. The implementation is simple, efficient, and could be practically distributed. The paper describes an implementation and experimental result based on RSSI distance estimation. Novel techniques such as fuzzy membership functions and table lookup are used to obtain more accurate result and simplify the computation. An 86% accuracy is achieved in the experiment in spite of inaccurate RSSI distance estimates with errors up to 60%.
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Taxonomy
TopicsIndoor and Outdoor Localization Technologies · Robotics and Sensor-Based Localization · Underwater Vehicles and Communication Systems
