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http://dx.doi.org/10.5392/JKCA.2020.20.08.359

Classification of Location Verification in WSNs  

Kim, In-hwan (연세대학교 컴퓨터과학과)
Publication Information
The Journal of the Korea Contents Association / v.20, no.8, 2020 , pp. 359-367 More about this Journal
Abstract
WSNs as the main technology of IoT often deliver information or authenticate based on location. Thus, verifying location information is essential. This paper aims to present the comprehensive analysis and classification of location verification techniques in WSN. For this, classification criteria are suggested based on the result of feature analysis of existing techniques. In addition, the existing techniques are classified according to the suggested criteria, and each characteristic and development direction are described. The result of this paper is expected to be a useful reference material when designing a new technique.
Keywords
Classification Criteria; Feature Analysis; Location verification; Wireless Sensor Networks; Science Technology;
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