Improved Indoor Localization Based on Received Signal Strength Indicator and General Regression Neural Network
نویسندگان
چکیده
منابع مشابه
Received Signal Strength Indicator - Based Adaptive Localization Algorithm for Indoor Wireless Sensor Networks
Solutions for indoor localization have become more critical with recent advancement in context and location-aware technologies. When wireless sensor network (WSN) used in complex indoor environment, great propagation loss will be caused and it is very difficult to estimate adaptively the location of target nodes when environment changed. In this paper, an indoor adaptive localization algorithm ...
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Due to the wide deployment of wireless local area networks (WLAN), received signal strength (RSS)-based indoor WLAN localization has attracted considerable attention in both academia and industry. In this paper, we propose a novel page rank-based indoor mapping and localization (PRIMAL) by using the gene-sequenced unlabeled WLAN RSS for simultaneous localization and mapping (SLAM). Specifically...
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ژورنال
عنوان ژورنال: Sensors and Materials
سال: 2019
ISSN: 0914-4935
DOI: 10.18494/sam.2019.2253