Abstract
The substantial number of wearable devices in the healthcare industry and the continuous growth of the market procreates the demand for computational offloading. Despite major development of wearable devices and offloading techniques, there are several concerns such as latency, battery power, and computation capability that requires significant development. In this paper, we focus on the fact that most smart wearable devices have Bluetooth pairing with smartphones, and Bluetooth communication is significantly energy-efficient compare to 3G/LTE or Wi-Fi. We propose a computation offloading technique that offloads from the smartphone to the cloud server considering the decision model of both wearable devices and smartphones. Mobile cloud computing can elevate the capacity of smartphones considering the battery state and efficient communications with the cloud. In our model, we increase the energy efficiency of smart devices. To accomplish this, a Dhrystone Millions of Instructions per Second (DMIPS)-based workload measurement model along with a computation offloading decision model were created. According to the performance evaluation, offloading from wearable devices to smartphones and offloading once to cloud server can reduce energy consumption significantly.
Highlights
Wearable devices has become an integral part of human life and refining several regular activity such as healthy eating, active lifestyle, sufficient exercise, sleep tracking, emergency alert, and many more
In this paper, we proposed a computation offloading technique to solve the problem of low usability of smart devices caused by small battery-powered wearable devices
The existing computation offloading techniques are offloading from a smartphone to a cloud server via WiFi, 3G/LTE network environment, or offloading to a cloud server using a smartphone as a simple intermediary in a wearable device
Summary
Wearable devices has become an integral part of human life and refining several regular activity such as healthy eating, active lifestyle, sufficient exercise, sleep tracking, emergency alert, and many more. There are limitations in performing complex calculations using various sensors such as heart rate, camera, or using network communication service with other devices. To alleviate this problem, the concept of computation offloading has been proposed that transfers complex computation job to cloud server with powerful computing resources. The offloading technique brings several benefits; it hinders the energy consumption performance of limited power devices. In a wireless network considering a bad channel condition, devices can have significant energy consumption to transfer the task to a cloud server. The computation offloading can reduce the energy consumption of wearable devices by using only network communication
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