Optimum QoE-Lifetime Tradeoff for Energy Harvesting Empowered Wearable Machine-to-Machine Communications
Date Issued
2015
Date
2015
Author(s)
Wang, Yu-Chueh
Abstract
Wearable devices (WDs) empowering a new type of machine-to-machine (M2M) communications create an unprecedented challenge of operation time (lifetime) extension. Similar to a sensor with a small form factor of battery, energy harvesting is a promising technology for WDs to compensate energy shortage. However, frequently shutting down and rebooting a device (allowable for a sensor) due to energy exhaustion is unacceptable for WDs. To avoid energy exhaustion, a WD should largely decrease the control signaling transmissions those have been regarded as the major overhead in M2M communications. Without the control signaling, however, the most crucial quality-of-experience (QoS) may not be guaranteed in WD applications. To successfully practice WDs, we shall consequently strike the optimum tradeoff between QoE and lifetime. For this goal, in this paper, a general state machine to model the radio access of a WD is developed, by which the optimum radio access strategy for each WD is analytically derived to maximize the lifetime while guaranteeing QoE for all WDs. Our scheme provides a pioneering solution for sustainable WD operations to serve the urgent needs and pave theoretic foundations of booming WD applications.
Subjects
M2M communications
energy harvesting
quality of experience
lifetime
Type
thesis
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