TY - GEN
T1 - A quantitative analysis of power consumption for location-aware applications on smart phones
AU - Anand, Arjun
AU - Manikopoulos, Constantine
AU - Jones, Quentin
AU - Borcea, Cristian
N1 - Copyright:
Copyright 2008 Elsevier B.V., All rights reserved.
PY - 2007
Y1 - 2007
N2 - The industry is producing new wireless mobile devices, such as smart phones, at an ever increasing pace. In terms of processors and memory, these devices are as powerful as the PCs were one decade ago. Therefore, they are perfectly suitable to become the first real-life platforms for ubiquitous computing. For instance, they can be programmed to run location-aware applications that provide people with real-time information relevant to their current places. Deploying such applications in our daily life, however, requires a good understanding of their power requirements in order to ensure that mobile devices can indeed support them. This paper presents a quantitative analysis of power consumption for location-aware applications in our SmartCampus project, which builds a large scale test-bed for mobile social computing. Based on this analysis, we conclude that carefully designed applications can run for up to six hours, while updating the user location frequently enough to support real-time location-aware communication.
AB - The industry is producing new wireless mobile devices, such as smart phones, at an ever increasing pace. In terms of processors and memory, these devices are as powerful as the PCs were one decade ago. Therefore, they are perfectly suitable to become the first real-life platforms for ubiquitous computing. For instance, they can be programmed to run location-aware applications that provide people with real-time information relevant to their current places. Deploying such applications in our daily life, however, requires a good understanding of their power requirements in order to ensure that mobile devices can indeed support them. This paper presents a quantitative analysis of power consumption for location-aware applications in our SmartCampus project, which builds a large scale test-bed for mobile social computing. Based on this analysis, we conclude that carefully designed applications can run for up to six hours, while updating the user location frequently enough to support real-time location-aware communication.
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U2 - 10.1109/ISIE.2007.4374912
DO - 10.1109/ISIE.2007.4374912
M3 - Conference contribution
AN - SCOPUS:50049091749
SN - 1424407559
SN - 9781424407552
T3 - IEEE International Symposium on Industrial Electronics
SP - 1986
EP - 1991
BT - 2007 IEEE International Symposium on Industrial Electronics, ISIE 2007, Proceedings
T2 - 2007 IEEE International Symposium on Industrial Electronics, ISIE 2007
Y2 - 4 June 2007 through 7 June 2007
ER -