Detailed Information

Cited 1 time in webofscience Cited 1 time in scopus
Metadata Downloads

Efficient FEC Scheme for Solar-Powered WSNs Considering Energy and Link-Quality

Authors
Gil, Gun WookKang, MinjaeKim, YounghyunYoon, IkjuneNoh, Dong Kun
Issue Date
Aug-2020
Publisher
MDPI
Keywords
wireless sensor network; energy-harvesting; solar-powered; forward error correction; link-quality
Citation
ENERGIES, v.13, no.15
Journal Title
ENERGIES
Volume
13
Number
15
URI
http://scholarworks.bwise.kr/ssu/handle/2018.sw.ssu/38584
DOI
10.3390/en13153952
ISSN
1996-1073
Abstract
In solar-powered wireless sensor networks (SP-WSNs), the best use of harvested energy is more important than minimizing energy consumption since energy can be supplied periodically. Meanwhile, as is well known, the reliability of the communication between sensor nodes is very limited due to the resource constraints of sensor nodes. In this paper, we propose an efficient forward error correction (FEC) scheme which can give solar-powered wireless sensor networks more reliable communication. First, the proposed scheme provides energy-adaptive operation for the best use of solar energy. It calculates the amount of surplus energy which can be used for extra operations and then determines the number of additional parity bits for FEC according to this amount of surplus energy. At the same time, it also provides a link quality model that is used to calculate the appropriate number of parity bits for error recovery required for the current data communication environment. Finally, by considering these two parity sizes, it is possible to determine the number of parity bits that can maximize the data reliability without affecting the blacking out of nodes. The evaluation of the performance of the approach was performed by comparing the amount of data collected at the sink node and the number of blackout nodes with other schemes.
Files in This Item
There are no files associated with this item.
Appears in
Collections
College of Information Technology > Department of Smart Systems Software > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Noh, Dong Kun photo

Noh, Dong Kun
College of Information Technology (Department of Smart Systems Software)
Read more

Altmetrics

Total Views & Downloads

BROWSE