Adaptive multiresolution sampling in event-driven WSNs

Gergely Öllös () and Rolland Vida ()
Additional contact information
Gergely Öllös: Budapest University of Technology and Economics
Rolland Vida: Budapest University of Technology and Economics

Telecommunication Systems: Modelling, Analysis, Design and Management, 2016, vol. 61, issue 2, No 11, 337-347

Abstract: Abstract In time driven applications we are often bound to make a keen compromise between the sampling resolution (or sampler architecture) and available resources. This is especially true in WSNs (Wireless Sensor NetworkS), although the complexity of event driven environments present us new opportunities for optimizations. In this paper we propose a multi resolution sampling protocol for event driven WSNs that can dynamically adapt to event signatures and can efficiently schedule resource intensive samplers. The system can monitor the environment by a resource optimized sampler which is only to detect events and not to store or process any samples. When scheduled the high resolution sampler is activated to sample the appropriate physical property of the phenomenon marked by the event, via resolution optimized hardware. Since it takes time to detect an event (triggered by the signal we already ought to sample) and to power up the high resolution, resource intensive sampler, we must start the sampling before the signal is detected. This calls for dynamic event forecasting, which is the main feature of the proposed system.

Keywords: Event driven WSNs; Multiresolution sampling; Event forecasting; Procedural signature extraction (search for similar items in EconPapers)
Date: 2016
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s11235-015-0005-x Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:telsys:v:61:y:2016:i:2:d:10.1007_s11235-015-0005-x

Ordering information: This journal article can be ordered from
http://www.springer.com/journal/11235

DOI: 10.1007/s11235-015-0005-x

Access Statistics for this article

Telecommunication Systems: Modelling, Analysis, Design and Management is currently edited by Muhammad Khan

More articles in Telecommunication Systems: Modelling, Analysis, Design and Management from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().