First Advisor
Christopher Garcia
Thesis Committee Member(s)
Shari Plantz-Masters, Ph.D; Robert Sjodin
College
College for Professional Studies
Degree Name
MS Information Technology Management
School
School of Computer & Information Science
Document Type
Thesis - Open Access
Number of Pages
60 pages
Abstract
Bluetooth Low Energy beacon devices, typically operating on coin cell batteries, have emerged as key components of micro-location wireless sensor networks. To design efficient and reliable networks, designers require tools for predicting battery and beacon lifetime, based on design parameters that are specific to micro-location applications. This design science research contributes to the implementation of an artifact functioning as a predictive tool for coin cell battery lifetime when powering Bluetooth Low Energy beacon devices. Building upon effective and corroborated components from other researchers, the Beacon Lifetime Model 1.0 was developed as a spreadsheet workbook, providing a user interface for designers to specify parameters, and providing a predictive engine to predict coin cell battery lifetime. Results showed that the measured and calculated predictions were consistent with those derived through other methodologies, while providing a uniquely extensible user interface which may accommodate future work on emerging components. Future work may include research on real world scenarios, as beacon devices are deployed for robust micro-location applications. Future work may also include improved battery models that capture increasingly accurate performance under micro-location workloads. Beacon Lifetime Model 1.x is designed to incorporate those emerging components, with Beacon Lifetime Model1.0 serving as the initial instantiation of this design science artifact.
Date of Award
Spring 2015
Location (Creation)
Colorado (state); Denver (county); Denver (inhabited place)
Copyright
© Donna Auguste
Rights Statement
All content in this Collection is owned by and subject to the exclusive control of Regis University and the authors of the materials. It is available only for research purposes and may not be used in violation of copyright laws or for unlawful purposes. The materials may not be downloaded in whole or in part without permission of the copyright holder or as otherwise authorized in the “fair use” standards of the U.S. copyright laws and regulations.
Recommended Citation
Auguste, Donna, "Model for Predicting Bluetooth Low Energy Micro-Location Beacon Coin Cell Battery Lifetime" (2015). Regis University Student Publications (comprehensive collection). 11.
https://epublications.regis.edu/theses/11