Nowadays, wireless body area networks are the center of attention for patients' health data
monitoring. In these networks, the sensor nodes deal with the limited energy of batteries to …

Abstract In the Energy-Harvesting Wireless Body Area Networks (EH-WBAN), one of the
fundamental challenges is preserving the self-sustainability of sensors without …

With the recent explosive growth of the Internet of Things (IoT), edge computing is emerging
as a modern computing paradigm that coexists with the cloud to process massive amounts …

Reinforcement learning (RL) is capable of managing wireless, energy-harvesting IoT nodes
by solving the problem of autonomous management in non-stationary, resource-constrained …

With the advent of the Internet of Things (IoT) era, a wide array of wireless sensors
supporting the IoT have proliferated. As key elements for enabling the IoT, wireless sensor …

In energy-harvesting wireless body area networks (EH-WBAN), the self-sustainability of
body sensor nodes without compromising the service quality criteria is very important. In …

Power management in wireless sensor networks is very important due to the limited energy
of batteries. Sensor nodes with harvesters can extract energy from environmental sources as …

In modern life, personal health-care awareness is a fast-growing revolution. In which,
Wireless Body Area Network (WBAN) allows inexpensive health-care services with the …

Non-volatile processors (NVPs) are used in energy harvesting powered embedded systems
to preserve data across interruptions. In NVP systems, volatile data are backed up to non …

Wearable devices have the potential to transform multiple facets of human life, including
healthcare, activity monitoring, and interaction with computers. However, a number of …