Ubiquitous Data Accessing Method in IoT-Based Information System for Emergency Medical Services

By Boyi Xu, Lida Xu, Hongming Cai, Cheng Xie, Jingyuan Hu, Fenglin Bu. IEEE Transactions on Industrial Informatics, 2014

602 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Computer Vision and Pattern Recognition, Information Systems

View Paper: https://www.semanticscholar.org/paper/7dd5afc660970d82491c9015a52bf23ab79bf650

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

In Computer Vision and Pattern Recognition

In Information Systems

Citations in the corpus

A review of Internet of Things for smart home: Challenges and solutions (2017, methodology): “User interfaces This level represents user interfaces that deliver data to the end users (notifications, recommendations, smart device controls, etc) (Da Xu et al., 2014).”
The internet of things: a survey (2014, background): “…supply chain management, manufacturing, environmental monitoring, retailing, smart shelf operations, healthcare, food and restaurant industry, logistic industry, travel and tourism industry, library services, and many other areas (Bi et al. 2014; Cai et al. 2014; Fang et al. 2014; Xu et al. 2014).”
Next Generation 5G Wireless Networks: A Comprehensive Survey (2016, background): “IoT enables internet connections and data inter-operability for numerous smart objects and applications [139].”
Security and Privacy in Smart Health: Efficient Policy-Hiding Attribute-Based Access Control (2018, background): “[21] proposed an IoT-based system for emergency medical services, which can collect and interoperate IoT data flexibly.”
Internet of Things (IoT), Applications and Challenges: A Comprehensive Review (2020, background): “The study further proposed possible potential applications of IoT in intensive information industrial sectors for healthcare services [90].”
Internet of Things (IoT): A Review of Its Enabling Technologies in Healthcare Applications, Standards Protocols, Security, and Market Opportunities (2021, methodology): “Xu et al. [59] described IoThNet, and health data are composed utilizing a support control mechanism utilizing a three-layer cloud architecture platform for obtaining omnipresent [143]–[145] have explored their concern of IoThNet platform issues.”
Fog Assisted-IoT Enabled Patient Health Monitoring in Smart Homes (2018, positive): “In 2014, Xu et al. [13] provided a framework for medical services during an emergency by using IoT technology.”
The Internet of Things for Health Care: A Comprehensive Survey (2015, methodology): “Such healthcare activities have been demonstrated in the context of emergency medical services [22], and an IoThNet topology including cloud computing for pervasive health care has been proposed [23].”
Industry 4.0: state of the art and future trends (2018, background): “…that include industrial monitoring, environmental monitoring, transportation monitoring, healthcare monitoring and others (van Kranenburg et al. 2011; Li, Xu, and Wang 2013; Fan et al. 2014; He and Xu 2014; Kang et al. 2014; Xu et al. 2014; Liu et al. 2016; Yin et al. 2016; Yang et al. 2018).”
Internet of Things for Smart Healthcare: Technologies, Challenges, and Opportunities (2017, background): “Cloud storage capable of storing high volumes of varying data was also shown to be essential to a big data healthcare system by several previous works [9], [11], [24].”
The internet of things in healthcare: An overview (2016, methodology): “A resource-based data accessing method, namely UDA-IoT, has been developed to acquire and process IoT data ubiquitously and has shown great effectiveness in a cloud and mobile computing platform, from which doctors and managers will both beneﬁt [87] .”
The role of Information and Communication Technologies in healthcare: taxonomies, perspectives, and challenges (2018, background): “IoT objects exacerbates the heterogeneity problem of the data format in IoT-based platforms [315], to the extent that the absence of uniform standards for data generated from devices may prevent their widespread adoption [74, 274].”