EconPapers    
Economics at your fingertips  
 

Techniques for Monitoring and Discovering the Children

Rajubabu N, Sathishkumar A, Ramganesh T and Gopinath K

International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 2017, vol. 2, issue 2, 480-483

Abstract: Bluetooth Low Energy (BLE) standard speci?es a wide range of parameter values for neighbor discovery process (NDP). The parameter values used during neighbor discovery directly affect the persuance of the NDP. Therefore, an optimal parameter setting is essential to achieve the best trade-off between discovery latency and energy consumption. Analytical model can offer a bene?cial guideline for such parameter selection. In this paper, we propose a general model for analyzing the performance of NDP in the BLE networks. In this model, the operations of the scanner and the advertiser, which are two main components of NDP are expressed on the distinct-time axis. Based on the Chinese Remainder Theorem, the discovery suspension and energy consumption of advertiser are derived. When considering that BLE is one of candidate communication technologies for Internet of Things (IoT), the proposed model is expected to be very useful in setting the default or initial values of NDP parameters for various IoT applications.

Keywords: IoT; NDP; BLE; NDP; BDAS; EQS; AIR (search for similar items in EconPapers)
Date: 2017
Note: Article URL: https://ijsrcseit.com/CSEIT1722167
References: Add references at CitEc
Citations:

Downloads: (external link)
https://ijsrcseit.com/CSEIT1722167 Article URL (text/html)
https://ijsrcseit.com/paper/CSEIT1722167.pdf Full text (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:jbh:ijsrcs:v2:y2017:i2:id:hcseit1722167

Access Statistics for this article

More articles in International Journal of Scientific Research in Computer Science, Engineering and Information Technology from International Journal of Scientific Research in Computer Science, Engineering and Information Technology
Bibliographic data for series maintained by Pankaj Sharma (USA) ().

 
Page updated 2026-09-18
Handle: RePEc:jbh:ijsrcs:v2:y2017:i2:id:hcseit1722167