Open AccessDynamic Switching in the Measurements’ Collecting from Heterogeneous Data Sources
Author(s) -
Mario José Diván,
María Laura Sánchez Reynoso,
Mohd Helmy Abd Wahab
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1529/2/022058
Subject(s) - overhead (engineering) , computer science , data transmission , transmission (telecommunications) , data stream , process (computing) , adapter (computing) , focus (optics) , dynamic data , distributed computing , embedded system , real time computing , computer hardware , database , telecommunications , operating system , physics , optics
The Data Stream Processing Strategy (DSPS) focus on online data processing based on IoT environments. Because of the IoT devices are possibly heterogeneous between them, the data gathering is coordinated through a measurement adapter (MA), who is responsible for data transmission to the data processor. In this work, measures’ indirect transmission is incorporated through measurement adapters, promoting cooperative behaviour and the interaction between them. This extends DSPS allowing direct and indirect data collecting. The new states and process view are analysed in terms of the MA. An enveloping strategy is introduced for verifying the data integrity in the transmission path. A simulation was carried out around the generated overhead with this kind of strategy in the MAs. A mean-time of 5.781 ms is obtained as overhead, which makes it feasible of application, considering that in another way the data would be lost, and the MA becomes uncommunicated.