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An Improved Neighbor Discovery Process in BLE 5.0
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Publication Year
2019-10-01
Journal
2019 IEEE 10th Annual Information Technology, Electronics and Mobile Communication Conference, IEMCON 2019
Publisher
Institute of Electrical and Electronics Engineers Inc.
Citation
2019 IEEE 10th Annual Information Technology, Electronics and Mobile Communication Conference, IEMCON 2019, pp.809-812
Keyword
Advertising eventBluetooth low energy (BLE)Internet of Things (IoT)Neighbor discovery process (NDP)Scanning
Mesh Keyword
Bluetooth low energies (BLE)Extended versionsHidden node problemsInternet of Things (IOT)Neighbor discovery
All Science Classification Codes (ASJC)
Information SystemsSafety, Risk, Reliability and QualityInformation Systems and ManagementMedia TechnologyControl and OptimizationComputer Networks and Communications
Abstract
Two kinds of Neighbor Discovery Processes has been specified in BLE 5.0, namely basic and advanced neighbor discovery process. The neighbor discovery process enables a BLE device called a scanner to discover another neighboring BLE device called an advertiser. Advanced neighbor discovery process is an extended version of the basic one designed to accommodate environments where there are a large number of BLE advertisers. However, the advanced neighbor discovery process has a fatal drawback. That is the hidden node problem which makes it very difficult to discover an advertiser when more than two scanners try to discover the advertiser at the same time. Therefore, how to overcome this problem is a challenge. In this paper, we propose a solution that enables multiple scanners to discover an advertiser successfully. The proposed scheme can dynamically adapt to different numbers of scanners and achieve better discovery performance. The simulation results show the effectiveness of the proposed scheme.
Language
eng
URI
https://aurora.ajou.ac.kr/handle/2018.oak/36452
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85077962536&origin=inward
DOI
https://doi.org/10.1109/iemcon.2019.8936200
Journal URL
http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=8932636
Type
Conference
Funding
ACKNOWLEDGMENT This research was supported by the MSIT(Ministry of Science and ICT), Korea, under the ITRC(Information Technology Research Center) support program(IITP-2019-2018-0-01431) supervised by the IITP (Institute for Information & communications Technology Promotion)
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SHAN GAOYANGSHAN, GAOYANG
Department of Software and Computer Engineering
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