 Dhrystone million instructions per second–based task offloading from smartwatch to smartphoneJongwon Lee, Jaejun Ko and Young-June Choi International Journal of Distributed Sensor Networks, 2017, vol. 13, issue 11, 1550147717740073 Abstract: Wearable devices such as smartwatches are critical to energy consumption due to their small battery size. To reduce possible energy consumption for high computational tasks, task offloading is a solution, but smartwatches are usually connected to smartphones that are also exposed to energy-saving issues. To resolve this problem, we propose a task offloading model that compares the energy efficiency of two cases: offloading or no offloading. When a task is offloaded, energy of a smartphone is sacrificed instead of a smartwatch, and additional energy is used for the communication. To derive the condition of an offloading, the size of a task could be considered, but it is impossible to estimate accurate energy due to various computational specifications of smartphones as well as smartwatches. To generalize the task size for different CPU conditions, we propose to use Dhrystone million instructions per second. The proposed model was evaluated through our testbed and confirmed that it shows a reasonable offloading condition for both the smartphone and the smartwatch. Keywords: Wearable device; power management; offloading; Dhrystone million instructions per second; dual offloading decisions (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:sae:intdis:v:13:y:2017:i:11:p:1550147717740073 Access Statistics for this article More articles in International Journal of Distributed Sensor Networks |
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