Wednesday, April 25, 2018

An Android-based Mechanism for Energy Efficient Localization depending on Indoor / Outdoor Context


An Android-based Mechanism for Energy Efficient Localization depending on Indoor / Outdoor Context

ABSTRACT:
Today, there is widespread use of mobile applications that take advantage of a user’s location. Popular usages of location information include geotagging on social media websites, driver assistance and navigation, and querying nearby locations of interest. However, the average user may not realize the high energy costs of using location services (namely the GPS) or may not make smart decisions regarding when to enable or disable location services - for example, when indoors. As a result, a mechanism that can make these decisions on the user’s behalf can significantly improve a smartphone’s battery life. In this work, we present an energy consumption analysis of the localization methods available on modern Android smartphones and propose the addition of an indoor localization mechanism that can be triggered depending on whether a user is detected to be indoors or outdoors. Based on our energy analysis and implementation of our proposed system, we provide experimental results - monitoring battery life over time - and show that an indoor localization method triggered by indoor or outdoor context can improve smartphone battery life and, potentially, location accuracy.

SYSTEM REQUIREMENTS:
HARDWARE REQUIREMENTS:

Ø System                           :         Pentium Dual Core.
Ø Hard Disk                      :         120 GB.
Ø Monitor                         :         15’’ LED
Ø Input Devices                 :         Keyboard, Mouse
Ø Ram                               :         1GB.

SOFTWARE REQUIREMENTS:

Ø Operating system                    :         Windows 7.
Ø Coding Language           :         Android,JAVA
Ø Toolkit                           :         Android 2.3 ABOVE
Ø IDE                                :         Eclipse/Android Studio
REFERENCE:
Nicholas Capurso, Student Member, IEEE, Tianyi Song, Student Member, IEEE, Wei Cheng, Member, IEEE, Jiguo Yu, Member, IEEE, Xiuzhen Cheng, Fellow, IEEE, “An Android-based Mechanism for Energy Efficient Localization depending on Indoor / Outdoor Context” , IEEE Internet of Things Journal, 2017.