TY - JOUR
AU1 - Wang, Lian
AU2 - Cui, Yong
AU3 - Stojmenovic, Ivan
AU4 - Ma, Xiao
AU5 - Song, Jian
AB - The constrained battery power of mobile devices poses a serious impact on user experience. As an increasingly prevalent type of applications in mobile cloud environments, location-based applications (LBAs) present some inherent limitations concerning energy. For example, the Global Positioning System based positioning mechanism is well-known for its extremely power-hungry attribute. Due to the severity of the issue, considerable researches have focused on energy-efficient locating sensing mechanism in the last a few years. In this paper, we provide a comprehensive survey of recent work on low-power design of LBAs. An overview of LBAs and different locating sensing technologies used today are introduced. Methods for energy saving with existing locating technologies are investigated. Reductions of location updating queries and simplifications of trajectory data are also mentioned. Moreover, we discuss cloud-based schemes in detail which try to develop new energy-efficient locating technologies by leveraging the cloud capabilities of storage, computation and sharing. Finally, we conclude the survey and discuss the future research directions.
TI - Energy efficiency on location based applications in mobile cloud computing: a survey
JF - Computing
DO - 10.1007/s00607-013-0334-0
DA - 2013-05-29
UR - https://www.deepdyve.com/lp/springer-journals/energy-efficiency-on-location-based-applications-in-mobile-cloud-a04ll3U38n
SP - 569
EP - 585
VL - 96
IS - 7
DP - DeepDyve
ER -