1 research outputs found
Real-Time Transmission Mechanism Design for Wireless IoT Sensors with Energy Harvesting under Power Saving Mode
The Internet of things (IoT) comprises of wireless sensors and actuators
connected via access points to the Internet. Often, the sensing devices are
remotely deployed with limited battery power and are equipped with energy
harvesting equipment. These devices transmit real-time data to the base station
(BS), which is used in applications such as anomaly detection. Under sufficient
power availability, wireless transmissions from sensors can be scheduled at
regular time intervals to maintain real-time data acquisition. However, once
the battery is significantly depleted, the devices enter into power saving mode
and need to be more selective in transmitting information to the BS.
Transmitting a particular piece of sensed data consumes power while discarding
it may result in loss of utility at the BS. The goal is to design an optimal
dynamic policy which enables the device to decide whether to transmit or to
discard a piece of sensing data particularly under the power saving mode. This
will enable the sensor to prolong its operation while causing minimum loss of
utility to the application. We develop an analytical framework to capture the
utility of the IoT sensor transmissions and leverage dynamic programming based
approach to derive an optimal real-time transmission policy that is based on
the statistics of information arrival, the likelihood of harvested energy, and
designed lifetime of the sensors. Numerical results show that if the statistics
of future data valuation are accurately predicted, there is a significant
increase in utility obtained at the BS as well as the battery lifetime