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Dynamic sampling rate algorithm (DSRA) implemented in self-adaptive software architecture: a way to reduce the energy consumption of wireless sensors through event-based sampling
Linnaeus University, Faculty of Technology, Department of Mechanical Engineering.ORCID iD: 0000-0001-5320-1154
2019 (English)In: Microsystem Technologies: Micro- and Nanosystems Information Storage and Processing Systems, ISSN 0946-7076, E-ISSN 1432-1858Article in journal (Refereed) Published
Abstract [en]

With the recent digitalization trends in the industry, wireless sensors are, in particular, gaining a growing interest. This is due to the possibility of being installed in inaccessible locations for wired sensors. Although great success has already been achieved in this area, energy limitation remains a major obstacle for further advances. As such, it is important to optimize the sampling with a sufficient rate to catch important information without excessive energy consumption, and one way to achieve sufficient sampling is using adaptive sampling for sensors. As software plays an important role in the techniques of adaptive sampling, a reference framework for software architecture is important in order to facilitate their design, modeling, and implementation. This study proposes a software architecture, named Rainbow, as the reference architecture, also, it develops an algorithm for adaptive sampling. The algorithm was implemented in the Rainbow architecture and tested using two datasets; the results show the proper operation of the architecture as well as the algorithm. In conclusion, the Rainbow software architecture has the potential to be used as a framework for adaptive sampling algorithms, and the developed algorithm allows adaptive sampling based on the changes in the signal.

Place, publisher, year, edition, pages
Springer, 2019.
National Category
Computer Systems
Research subject
Computer Science, Software Technology; Technology (byts ev till Engineering), Terotechnology; Technology (byts ev till Engineering), Mechanical Engineering; Computer and Information Sciences Computer Science, Computer Science; Technology (byts ev till Engineering), Mechanical Engineering
Identifiers
URN: urn:nbn:se:lnu:diva-89218DOI: 10.1007/s00542-019-04631-9OAI: oai:DiVA.org:lnu-89218DiVA, id: diva2:1353257
Available from: 2019-09-21 Created: 2019-09-21 Last updated: 2019-09-26

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Algabroun, Hatem
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