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Youzhi Xu

Researcher at Mid Sweden University

Publications -  35
Citations -  878

Youzhi Xu is an academic researcher from Mid Sweden University. The author has contributed to research in topics: Wireless sensor network & Wireless. The author has an hindex of 12, co-authored 35 publications receiving 808 citations. Previous affiliations of Youzhi Xu include Jönköping University & Beijing University of Technology.

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Journal ArticleDOI

Wireless sensor network based E-health system ¿ implementation and experimental results

TL;DR: A mixed positioning algorithm is proposed to determine where the elderly person is to help the system to determine the person's activities and further to make decisions about his/her health status.
Journal ArticleDOI

Wireless Coexistence between IEEE 802.11 and IEEE 802.15.4-based Networks: A Survey

TL;DR: This paper surveys the studies on the coexistence between IEEE 802.15.4-based networks following the general analysis method of “question-analysis-solution” and discusses about some open research issues and developments in this field.
Proceedings ArticleDOI

An Elderly Health Care System Using Wireless Sensor Networks at Home

TL;DR: The purpose of this project is to integrate the technologies of wireless sensor networks and public communication networks to construct a healthcare system for senior citizens at home without interfering their daily activities.
Journal ArticleDOI

Assignment of Segmented Slots Enabling Reliable Real-Time Transmission in Industrial Wireless Sensor Networks

TL;DR: A novel method based on the segmented slot assignment, fast slot competition, and free node concept that will improve the reliability and real-time communication significantly so that more advanced applications can be enabled is presented.
Proceedings ArticleDOI

A Smart Gateway for Health Care System Using Wireless Sensor Network

TL;DR: This paper presents a prototype of a smart gateway, an interconnection and services management platform especially for WSN health care systems at home environment that is enabled to make patients' health state decisions in low-power and low-cost embedded system and get faster response time o the emergencies.