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Analysis of effective energy consumption of Bluetooth Low Energy
versus Bluetooth Classic

Taqvist, Carl

Jonkoping University, School of Engineering, JTH, Department of
Computing.

Luks, Jonathan

Jonkoping University, School of Engineering, JTH, Department of
Computing.
2022 (English)Independent thesis Basic level (degree of Bachelor), 10
credits / 15 HE creditsStudent thesis

Abstract [en]

Wireless technology is used daily across the globe. A very common
wireless technology is Bluetooth. The Bluetooth technology exists
everywhere, from cars to mobile phones and even kitchen appliances.
Recently, Bluetooth Low Energy has added support for another physical
layer, LE 2M PHY. This physical layer is supposed to be faster and
more energy efficient than its predecessor, LE 1M PHY, with a
decrease in range. Because of this new physical layer, Bluetooth Low
Energy can now compete with Bluetooth Classic during data
transmission, in both speed and energy efficiency. This thesis aims
to find the breaking point where Bluetooth Low Energy becomes less
energy efficient than Bluetooth Classic, in relation to bit rate
speed and total amount of bytes sent. Before experiments were
conducted, multiple iterations of an artifact had to be done to end
up with an artifact that provides valid and reliable data. The
experiments were then conducted by changing the bit rate speed and
sending different amounts of bytes. The results from the experiments
show that Bluetooth Classic is practically both faster and more
energy efficient with its fastest modulation than Bluetooth Low
Energy is with LE 2M PHY enabled, even though this should not be the
case theoretically. Bluetooth Classic is overall more energy
efficient than Bluetooth Low Energy and thus the conclusion of this
study is that no breaking points between the two technologies exist.

Place, publisher, year, edition, pages

2022. , p. 45

Keywords [en]

Bluetooth Classic, Bluetooth Low Energy, Energy efficiency, Internet
of Things, Throughput, Wireless technologies

National Category

Energy Systems

Identifiers

URN: urn:nbn:se:hj:diva-57970ISRN: JU-JTH-DTA-1-20220170OAI:
oai:DiVA.org:hj-57970DiVA, id: diva2:1683816

External cooperation

Knowit

Subject / course

JTH, Computer Engineering

Supervisors

Axelsson, Andreas

Examiners

Adlemo, Anders

Available from: 2022-08-04 Created: 2022-07-18 Last updated: 
2022-08-04Bibliographically approved

Open Access in DiVA

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File name FULLTEXT01.pdfFile size 1437 kBChecksum SHA-512
25eab38c70c980df8e61fa685b908bd0c6c9c44d0a662af2ea37700d6b3428db9000b02682f6b66623adf56128c9e19a27baea2332013dbc708844dde47cc7bc
Type fulltextMimetype application/pdf

By organisation

JTH, Department of Computing

On the subject

Energy Systems

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