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Advertisement Interval to Minimize Discovery Time of Whole BLE Advertisersoa mark
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Publication Year
2018-03-19
Journal
IEEE Access
Publisher
Institute of Electrical and Electronics Engineers Inc.
Citation
IEEE Access, Vol.6, pp.17817-17825
Keyword
advertisement intervalBluetooth low energyInternet of Thingsminimum discovery timeneighbor discovery process
Mesh Keyword
Advertisement intervalBluetooth low energies (BTLE)Minimum Discovery TimeNeighbor discoveryPower demandsPublic transportation
All Science Classification Codes (ASJC)
Computer Science (all)Materials Science (all)Engineering (all)
Abstract
As the Internet of Things is expected to become pervasive in everyday life, it is also expected that numerous applications and services with a large number of bluetooth low energy (BLE) devices will be developed for areas such as sports arenas, subways, shopping malls, and many other busy public places. The fast discovery of all BLE advertisers is one of the most challenging tasks in supporting such a large number of BLE-enabled services successfully. However, there has been no research published so far that presents a method of setting parameters that provide the best performance in the BLE neighbor discovery process. In this paper, we propose a method to determine an optimal value for the BLE advertisement interval to minimize the time in which all surrounding BLE advertisers are discovered by a scanner. To obtain the optimal advertisement interval, we derive a new analytical model to characterize the BLE discovery time with all possible parameters. We also analyze the effect of the optimal advertisement interval on energy consumption. The analytical model is validated by comparing the analysis results with the simulations. The simulation results show that the optimal advertisement interval for a given number of BLE advertisers can minimize the discovery time, and the energy consumption also is reduced significantly.
ISSN
2169-3536
Language
eng
URI
https://aurora.ajou.ac.kr/handle/2018.oak/30147
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85044296149&origin=inward
DOI
https://doi.org/10.1109/access.2018.2817343
Journal URL
http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6287639
Type
Article
Funding
This work was supported by the National Research Foundation of Korea (NRF) Grant through the Korean Government (MSIP) under Grant NRF-2015R1A2A2A01005577.
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SHAN GAOYANGSHAN, GAOYANG
Department of Software and Computer Engineering
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