A Location Matching for IoT Devices Using Polarizations and RSSI Distributions-Reference-Cited by-同舟云学术

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A Location Matching for IoT Devices Using Polarizations and RSSI Distributions

Published:2022-06 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 95th Vehicular Technology Conference: (VTC2022-Spring)
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Author:

Uchida Daisuke¹,Yonezawa Yuki¹,Tsutsumi Yukako¹,Sakamoto Takafumi¹,Akita Koji¹

Affiliation:

1. Wireless System Laboratory Corporate Research & Development Center Research & Development Div., Toshiba Corp. 1, Komukai, Toshiba-cho, Saiwai-ku,Kawasaki,Japan,212-8582

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9860273/9860350/09860425.pdf?arnumber=9860425

Reference16 articles.

1. Wireless Localization with Diffusion Maps;ghafourian;Scientific Reports,2020

2. A RSSI-based probabilistic distribution localization algorithm for wireless sensor network

3. An Exponential-Rayleigh Model for RSS-Based Device-Free Localization and Tracking

4. RSSI-Based Distributed Self-Localization for Wireless Sensor Networks Used in Precision Agriculture

5. Is RSSI a Good Choice for Localization in Wireless Sensor Network?

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Measurement-Based Latency Evaluation and the Theoretical Analysis for Massive IoT Applications Using Bluetooth Low Energy;2023 IEEE 97th Vehicular Technology Conference (VTC2023-Spring);2023-06

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