TY - GEN
T1 - Energy consumption awareness for resource-constrained devices
AU - Silva, Edgar M.
AU - Malo, Pedro
AU - Albano, Michele
PY - 2016/9/6
Y1 - 2016/9/6
N2 - The devices running embedded applications tend to be battery-powered, and the energy efficiency of their operations is an important enabler for the wide adoption of the Internet-of-Things. Optimization of energy usage depends on modelling power consumption. A model-based simulation must consider parameters that depend on the device used, the operating system, and the distributed application under study. A realistic simulation thus depends on knowledge regarding how and when devices consume energy. Direct measurement in wireless sensors is a common approach to evaluate the power consumed by the embedded devices in their different execution states. This paper presents an approach to direct measurement of consumed energy. We present the architecture and the measurement process that were implemented. Details are given regarding the setup of the experimental tests, and a discussion of the results hints at which architecture is the best for each application under study. The presented methodology can be easily extended to new architectures and applications, to streamline the process of building realistic models of power consumption.
AB - The devices running embedded applications tend to be battery-powered, and the energy efficiency of their operations is an important enabler for the wide adoption of the Internet-of-Things. Optimization of energy usage depends on modelling power consumption. A model-based simulation must consider parameters that depend on the device used, the operating system, and the distributed application under study. A realistic simulation thus depends on knowledge regarding how and when devices consume energy. Direct measurement in wireless sensors is a common approach to evaluate the power consumed by the embedded devices in their different execution states. This paper presents an approach to direct measurement of consumed energy. We present the architecture and the measurement process that were implemented. Details are given regarding the setup of the experimental tests, and a discussion of the results hints at which architecture is the best for each application under study. The presented methodology can be easily extended to new architectures and applications, to streamline the process of building realistic models of power consumption.
UR - http://www.scopus.com/inward/record.url?scp=84988981722&partnerID=8YFLogxK
U2 - 10.1109/EuCNC.2016.7561008
DO - 10.1109/EuCNC.2016.7561008
M3 - Article in proceeding
AN - SCOPUS:84988981722
T3 - EUCNC 2016 - European Conference on Networks and Communications
SP - 74
EP - 78
BT - EUCNC 2016 - European Conference on Networks and Communications
PB - IEEE Signal Processing Society
T2 - 2016 European Conference on Networks and Communications, EUCNC 2016
Y2 - 27 June 2016 through 30 June 2016
ER -