TY - JOUR
T1 - Automatic Optimizer Generation Method Based on Location and Context Information to Improve Mobile Services
AU - Son, Yunsik
AU - Jeong, Junho
AU - Lee, Yangsun
N1 - Publisher Copyright:
Copyright © 2017 Yunsik Son et al.
PY - 2017
Y1 - 2017
N2 - Several location-based services (LBSs) have been recently developed for smartphones. Among these are proactive LBSs, which provide services to smartphone users by periodically collecting background logs. However, because they consume considerable battery power, they are not widely used for various LBS-based services. Battery consumption, in particular, is a significant issue on account of the characteristics of mobile systems. This problem involves a greater service restriction when performing complex operations. Therefore, to successfully enable various services based on location, this problem must be solved. In this paper, we introduce a technique to automatically generate a customized service optimizer for each application, service type, and platform using location and situation information. By using the proposed technique, energy and computing resources can be more efficiently employed for each service. Thus, users should receive more effective LBSs on mobile devices, such as smartphones.
AB - Several location-based services (LBSs) have been recently developed for smartphones. Among these are proactive LBSs, which provide services to smartphone users by periodically collecting background logs. However, because they consume considerable battery power, they are not widely used for various LBS-based services. Battery consumption, in particular, is a significant issue on account of the characteristics of mobile systems. This problem involves a greater service restriction when performing complex operations. Therefore, to successfully enable various services based on location, this problem must be solved. In this paper, we introduce a technique to automatically generate a customized service optimizer for each application, service type, and platform using location and situation information. By using the proposed technique, energy and computing resources can be more efficiently employed for each service. Thus, users should receive more effective LBSs on mobile devices, such as smartphones.
UR - http://www.scopus.com/inward/record.url?scp=85016574072&partnerID=8YFLogxK
U2 - 10.1155/2017/2835163
DO - 10.1155/2017/2835163
M3 - Article
AN - SCOPUS:85016574072
SN - 1574-017X
VL - 2017
JO - Mobile Information Systems
JF - Mobile Information Systems
M1 - 2835163
ER -