Improved Indoor Localization Based on Received Signal Strength Indicator and General Regression Neural Network

نویسندگان
چکیده

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

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 ...

متن کامل

Received Signal Strength Indicator Node Localization Algorithm Based on Constraint Particle Swarm Optimization

Because the received signal strength indicator (RSSI) value greatly changes, the direct use of RSSI value has more errors in the positioning process as the basis to calculate the position of anchor nodes. This paper proposes a RSSI node localization algorithm based on constraint particle swarm optimization (PSO-RSSI). In the algorithm, particle swarm optimization is used to select anchor nodes ...

متن کامل

Maritime Management Using Received Signal Strength Indicator

For location finding through Wireless Sensor Networks (WSNs), the RSSI is regularly assumed to have a linear signal strength by the whole of the logarithm of the communication distance. However, this is not true in certain cases because there are uncertainties in RSSI readings to obstacles, receiver interferences etc. In this complimentary, we specifically ask for the hand of a new RSSI-based c...

متن کامل

PRIMAL: Page Rank-Based Indoor Mapping and Localization Using Gene-Sequenced Unlabeled WLAN Received Signal Strength

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...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Sensors and Materials

سال: 2019

ISSN: 0914-4935

DOI: 10.18494/sam.2019.2253