Reducing the Energy Budget in WSN Using Time Series Models
Joint Authors
Abdulai, Jamal-Deen
Engmann, Felicia
Katsriku, Ferdinand Apietu
Adu-Manu, Kofi Sarpong
Source
Wireless Communications and Mobile Computing
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-08-03
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Information Technology and Computer Science
Abstract EN
Energy conservation is critical in the design of wireless sensor networks since it determines its lifetime.
Reducing the frequency of transmission is one way of reducing the cost, but it must not tamper with the reliability of the data received at the sink.
In this paper, duty cycling and data-driven approaches have been used together to influence the prediction approach used in reducing data transmission.
While duty cycling ensures nodes that are inactive for longer periods to save energy, the data-driven approach ensures features of the data that are used in predicting the data that the network needs during such inactive periods.
Using the grey series model, a modified rolling GM(1,1) is proposed to improve the prediction accuracy of the model.
Simulations suggest a 150% energy savings while not compromising on the reliability of the data received.
American Psychological Association (APA)
Engmann, Felicia& Katsriku, Ferdinand Apietu& Abdulai, Jamal-Deen& Adu-Manu, Kofi Sarpong. 2020. Reducing the Energy Budget in WSN Using Time Series Models. Wireless Communications and Mobile Computing،Vol. 2020, no. 2020, pp.1-15.
https://search.emarefa.net/detail/BIM-1214916
Modern Language Association (MLA)
Engmann, Felicia…[et al.]. Reducing the Energy Budget in WSN Using Time Series Models. Wireless Communications and Mobile Computing No. 2020 (2020), pp.1-15.
https://search.emarefa.net/detail/BIM-1214916
American Medical Association (AMA)
Engmann, Felicia& Katsriku, Ferdinand Apietu& Abdulai, Jamal-Deen& Adu-Manu, Kofi Sarpong. Reducing the Energy Budget in WSN Using Time Series Models. Wireless Communications and Mobile Computing. 2020. Vol. 2020, no. 2020, pp.1-15.
https://search.emarefa.net/detail/BIM-1214916
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1214916