Wireless Sensor Network-Based User Identification and Data Cross-Referencing in XR Physical Spaces

This paper presents the development and implementation of a wireless sensor network for real-time user identification and cross-referencing of sensor data between users in extended reality (XR) environments. The wireless sensor network system is designed to reference camera data from multiple users located within the same physical space. The proposed sensor network is connected in a full mesh configuration and utilizes Wi-Fi 6 technology and the BATMAN (Better Approach To Mobile Adhoc Networking) protocol, allowing for efficient user identification and seamless exchange of sensor data, even in complex environments.

Authors

Institutions

Publication Details

Published
2024-10-16
DOI
https://doi.org/10.1109/ictc62082.2024.10826653
Primary Topic
Energy Efficient Wireless Sensor Networks
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Wireless Sensor Network-Based User Identification and Data Cross-Referencing in XR Physical Spaces

Kai Sun, Gil Youn Hee, Yu Rong, Hong Sungujn et al.
Energy Efficient Wireless Sensor Networks
article

Wireless Sensor Network-Based User Identification and Data Cross-Referencing in XR Physical Spaces

Kai Sun, Gil Youn Hee, Yu Rong, Hong Sungujn, Um Tai Won
article en

Abstract

This paper presents the development and implementation of a wireless sensor network for real-time user identification and cross-referencing of sensor data between users in extended reality (XR) environments. The wireless sensor network system is designed to reference camera data from multiple users located within the same physical space. The proposed sensor network is connected in a full mesh configuration and utilizes Wi-Fi 6 technology and the BATMAN (Better Approach To Mobile Adhoc Networking) protocol, allowing for efficient user identification and seamless exchange of sensor data, even in complex environments.

Chonnam National University (KR), Electronics and Telecommunications Research Institute (KR)
Openalex Percentile: Top 70%
Energy Efficient Wireless Sensor Networks
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.