Paper Info
Title
Extending battery lifetime of mobile devices with geofence capabilities on dynamic-speed urban environments
Abstract
In this work we present a battery-saving algorithm for Location Based Services (LBS) that exploits the geofence functionalities provided by modern mobile operating systems such as iOS and Android. The algorithm detects the surrounding areas of interest (AoI) by taking advantage of the underlying structure of quadtrees, considerably saving the number of requests to the LBS server made by the application, thus extending its battery lifetime even in dynamic-speed environments. The areas of interest can have any arbitrary shape and are not constrained to circles as in previous work. In our experiments, through empirical and simulation tests, we show that a substantial reduction of battery consumption can be achieved (up to 45%) while keeping a perfect detection accuracy of areas of interest in comparison with periodic polling techniques widely used in current mobile applications, with error rates of up to 55%.
Year
DOI
Venue
2013
10.1145/2534190.2534193
MobiGIS
Keywords
Field
DocType
extending battery lifetime,previous work,current mobile application,dynamic-speed environment,arbitrary shape,modern mobile operating system,battery consumption,battery lifetime,battery-saving algorithm,dynamic-speed urban environment,mobile device,error rate,lbs server,geofence capability,geofence,location based services,quad trees
Data mining,Android (operating system),Computer science,Location-based service,Polling,Exploit,Real-time computing,Mobile device,Battery (electricity),Pound (mass),Quadtree,Embedded system
Conference
Citations 
PageRank 
References 
6
0.52
10
Authors
4
Name
Order
Citations
PageRank
Luis Loyola1416.84
Fernando Wong260.52
Daniel Pereira3473.84
Horacio Sanson41028.10