Accessibility navigation


Detailed examination of a packet collision model for Bluetooth Low Energy advertising mode

Ghamari, M., Villeneuve, E., Soltanpur, C., Khangosstar, J., Janko, B., Sherratt, R. S. ORCID: https://orcid.org/0000-0001-7899-4445 and Harwin, W. ORCID: https://orcid.org/0000-0002-3928-3381 (2018) Detailed examination of a packet collision model for Bluetooth Low Energy advertising mode. IEEE Access, 6. pp. 46066-46073. ISSN 2169-3536

[img]
Preview
Text (Open access) - Published Version
· Available under License Creative Commons Attribution.
· Please see our End User Agreement before downloading.

806kB
[img] Text - Accepted Version
· Restricted to Repository staff only

757kB

It is advisable to refer to the publisher's version if you intend to cite from this work. See Guidance on citing.

To link to this item DOI: 10.1109/ACCESS.2018.2866323

Abstract/Summary

The aim of this paper is to investigate the amount of energy that is required to successfully transmit information inside the Bluetooth Low Energy (BLE) advertising packets. There are applications that require more than one BLE node to simultaneously transmit data. The BLE protocol utilizes a specific communication method termed advertising mode to perform unidirectional broadcasts of data from the advertising devices. However, with an increased number of BLE devices advertising simultaneously, there will be inevitable packet collisions from the advertising devices. This results in a waste of energy, specifically in low-power applications where lower consumption is desirable to minimize the need for battery replacements. This paper examines a packet collision model for the BLE advertising mode with the results validated using experimental data. Our analysis shows that when the throughput of the BLE network starts to fall due to an increase in the number of packet collisions, the energy consumption of the BLE nodes increase exponentially with respect to the number of nodes.

Item Type:Article
Refereed:Yes
Divisions:Life Sciences > School of Biological Sciences > Biomedical Sciences
Life Sciences > School of Biological Sciences > Department of Bio-Engineering
ID Code:78467
Publisher:IEEE

Downloads

Downloads per month over past year

University Staff: Request a correction | Centaur Editors: Update this record

Page navigation