Seirios: Leveraging Multiple Channels for LoRaWAN Indoor and Outdoor Localization

Autor: Liu, Jun, Gao, Jiayao, Jha, Sanjay, Hu, Wen

Localization is important for a large number of Internet of Things (IoT) endpoint devices connected by LoRaWAN. Due to the bandwidth limitations of LoRaWAN, existing localization methods without specialized hardware (e.g., GPS) produce poor performan

Externí odkaz: http://arxiv.org/abs/2108.06884

Leveraging Deep Learning for IoT Transceiver Identification.

Autor: Gao, Jiayao^1,2 (AUTHOR) silentgao91@gmail.com, Fan, Hongfei¹ (AUTHOR), Zhao, Yumei³ (AUTHOR), Shi, Yang¹ (AUTHOR) shiyang@tongji.edu.cn

Publikováno v: Entropy. Aug2023, Vol. 25 Issue 8, p1191. 16p.

Towards Secure LoRaWAN:Physical Layer Approaches and Techniques

Autor: Gao, Jiayao

The past decade has witnessed a surge of LoRaWAN systems and their applications. It is one of the most popular Internet of Things (IoT) solutions. Such networks connect 'smart' devices that communicate seamlessly over the Internet. It is estimated th

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::1ae9e4772154933ce3aba59e98fcd773

A small object detection model in aerial images based on CPDD-YOLOv8.

Autor: Wang J; School of Information Science and Engineering, Hebei University of Science and Technology, Shijiazhuang, 050018, China., Gao J; School of Information Science and Engineering, Hebei University of Science and Technology, Shijiazhuang, 050018, China., Zhang B; School of Cyberspace Security, Hebei University of Engineering Science, Shijiazhuang, 050091, China. yatouzhangbo@163.com.

Publikováno v: Scientific reports [Sci Rep] 2025 Jan 04; Vol. 15 (1), pp. 770. Date of Electronic Publication: 2025 Jan 04.