@article{M0D230C7C,
title = "Systematic Development of Mobile IoT Device Power Management : Feature-based Variability Modeling and Asset Development",
journal = "Journal of KIISE, JOK",
year = "2016",
issn = "2383-630X",
doi = "",
author = "Hyesun Lee,Kang Bok Lee,Hyo-Chan Bang",
keywords = "power management,mobile IoT devices,feature model,variability modeling,behavior modeling and simulation",
abstract = "Internet of Things (IoT) is an environment where various devices are connected to each other via a wired/wireless network and where the devices gather, process, exchange, and share information. Some of the most important types of IoT devices are mobile IoT devices such as smartphones. These devices provide various high-performance services to users but cannot be supplied with power all the time; therefore, power management appropriate to a given IoT environment is necessary. Power management of mobile IoT devices involves complex relationships between various entities such as application processors (APs), HW modules inside/outside AP, Operating System (OS), platforms, and applications; a method is therefore needed to systematically analyze and manage these relationships. In addition, variabilities related to power management such as various policies, operational environments, and algorithms need to be analyzed and applied to power management development. In this paper, engineering principles and a method based on them are presented in order to address these challenges and support systematic development of IoT device power management. Power management of connected helmet systems was used to validate the feasibility of the proposed method."
}