A survey of context data distribution for mobile ubiquitous systems
By Paolo Bellavista, Antonio Corradi, Mario Fanelli, Luca Foschini. CSUR, 2012
313 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/777bf945e07373e6410faa9338bde87861744862
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Omer Berat Sezer
- A. Ozbayoglu
- Charith Perera
- Erdogan Dogdu
- Qihui Wu
- Guoru Ding
- Peter Christen
- Yuhua Xu
Citations in the corpus
- Context-Aware Computing, Learning, and Big Data in Internet of Things: A Survey (2018, background): “The most popular classification of context modeling is defined as key-value, markup scheme, graphical, object oriented, logic-based, ontology-based, spatial, uncertainty, and hybrid context modeling [21], [23], [26], [98], [99].”
- Cognitive Internet of Things: A New Paradigm Beyond Connection (2014, methodology): “The QoD consists of data accuracy, data truthfulness, data completeness, and data up-to-dateness [58].”
- Context Aware Computing for The Internet of Things: A Survey (2013, background): “After evaluating a number of different parameter proposals in the literature, [16] has defined QoC based on three parameters: context data validity, context data precision, and context data up-to-dateness.”