Paper Info
Title
Uncertainty in sensor data acquisition for SOA system.
Abstract
The computational data received from sensors are varying according to situation depending on data accuracy. So, for a particular time period, it is very tough to find the appropriate data for its certainty. In this paper, all received sensor data are to be assumed as fuzzy numbers, and such assumption could be beneficial to improve the functionality of data availability and accessibility in service-oriented architecture (SOA) system. Whenever any service is requested for updated sensor data, it must be handled through well-defined architecture, and this is governed by enterprise service bus (ESB). This ESB extends the features for SOA as well as strengthen the service middleware architecture. Sensor data received through this ESB would need corrections and cleanliness which could be done through fuzzy theory and help in reducing the uncertainty in data.
Year
DOI
Venue
2018
10.1007/s00521-017-2910-2
Neural Computing and Applications
Keywords
Field
DocType
Service-oriented architecture (SOA), Enterprise service bus (ESB), Middleware, Fuzzy triangular number
Middleware,Data accuracy,Architecture,Enterprise service bus,Fuzzy logic,Data acquisition,Real-time computing,Fuzzy number,Service-oriented architecture,Mathematics
Journal
Volume
Issue
ISSN
30
10
1433-3058
Citations 
PageRank 
References 
0
0.34
12
Authors
3
Name
Order
Citations
PageRank
Robin Singh Bhadoria162.18
Narendra S. Chaudhari215237.21
Sovan Samanta314116.91