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AI Summary & Key Takeaways
AI Insight⚡ TL;DR(Too Long; Didn't Read)
Therefore, in this study, a general framework for the localization of a victim in the harsh environments is given.
📌 3 Key Takeaways
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Objective & Hypothesis:The success of the localization highly depends on the accuracy of the localization algorithm.
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Key Findings & Data:One of the most well-known and simple localization technique is received signal strength indicator based location estimation which relies on the measuring the power level of the transmitter node.
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Conclusion & Impact:Therefore, in this study, a general framework for the localization of a victim in the harsh environments is given.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:received signal strength indicator · localization · emergency situation
Abstract
The success of the localization highly depends on the accuracy of the localization algorithm. One of the most well-known and simple localization technique is received signal strength indicator based location estimation which relies on the measuring the power level of the transmitter node. Therefore, in this study, a general framework for the localization of a victim in the harsh environments is given.
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Cite This Article
EKTİ, A. R., KARATAŞ, O. (2019). Received Signal Strength Based Location Estimation for Emergency Cases. İstanbul Ticaret Üniversitesi Teknoloji ve Uygulamalı Bilimler Dergisi, Cilt: 1 - Sayı: 2, 31–40. https://ajindex.com/articles/373377