Document Detail

Leveraging social system networks in ubiquitous high-data-rate health systems.
MedLine Citation:
PMID:  20952339     Owner:  NLM     Status:  In-Data-Review    
Social system networks with high data rates and limited storage will discard data if the system cannot connect and upload the data to a central server. We address the challenge of limited storage capacity in mobile health systems during network partitions with a heuristic that achieves efficiency in storage capacity by modifying the granularity of the medical data during long intercontact periods. Patterns in the connectivity, reception rate, distance, and location are extracted from the social system network and leveraged in the global algorithm and online heuristic. In the global algorithm, the stochastic nature of the data is modeled with maximum likelihood estimation based on the distribution of the reception rates. In the online heuristic, the correlation between system position and the reception rate is combined with patterns in human mobility to estimate the intracontact and intercontact time. The online heuristic performs well with a low data loss of 2.1%-6.1%.
Tammara Massey; Gustavo Marfia; Adam Stoelting; Riccardo Tomasi; Maurizio A Spirito; Majid Sarrafzadeh; Giovanni Pau
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Publication Detail:
Type:  Journal Article     Date:  2010-10-14
Journal Detail:
Title:  IEEE transactions on information technology in biomedicine : a publication of the IEEE Engineering in Medicine and Biology Society     Volume:  15     ISSN:  1558-0032     ISO Abbreviation:  IEEE Trans Inf Technol Biomed     Publication Date:  2011 May 
Date Detail:
Created Date:  2011-05-03     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9712259     Medline TA:  IEEE Trans Inf Technol Biomed     Country:  United States    
Other Details:
Languages:  eng     Pagination:  491-8     Citation Subset:  IM    
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