Name
Title | ||
|---|---|---|
Sentinel: Breaking the Bottleneck of Energy Utilization Efficiency in RF-Powered Devices |
Abstract | ||
|---|---|---|
As a result of the limited available energy, radio frequency (RF)-powered devices must be capable of efficiently utilizing scarce energy by planning task execution according to the current harvested energy. However, the energy utilization efficiency is challenging to be improved in RF-powered devices, since sensing the harvested energy consumes a significant amount of energy that should be used for task execution. In this paper, we propose
<italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Sentinel</italic>
, a novel low power method to sense the harvested energy.
<italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Sentinel</italic>
is fully delegated to detect the energy for the device, while the device does not participate in the energy sensing. By this means, the computing overhead of the device is reduced.
<italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Sentinel</italic>
works with low energy consumption, and functions as a trigger to activate the device when, and only when, the energy reaches an expected energy threshold. We also present a lightweight scheme to set the desired thresholds so that
<italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Sentinel</italic>
achieves detecting any expected thresholds. We implement
<italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Sentinel</italic>
by off-the-shelf components and conduct experiments to show that
<italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Sentinel</italic>
consumes only 5.2% of energy overhead of the general energy sensing technique. With
<italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Sentinel</italic>
, we show that the energy utilization efficiency can be improved up to 94.9%, outperforming the best existing works at 64.7% in the WISP platform. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/JIOT.2018.2854374 | IEEE Internet of Things Journal |
Keywords | Field | DocType |
Task analysis,Sensors,Energy consumption,Internet of Things,Radio frequency,Software,Planning | Bottleneck,Task analysis,Low energy,Computer science,Real-time computing,Radio frequency,Software,Available energy,Energy consumption,Power iteration,Distributed computing | Journal |
Volume | Issue | ISSN |
6 | 1 | 2327-4662 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Songfan Li | 1 | 1 | 2.06 |
| Li Lu | 2 | 23 | 3.67 |
| Muhammad Jawad Hussain | 3 | 1 | 0.69 |
| Yalan Ye | 4 | 0 | 4.39 |
| Hongzi Zhu | 5 | 653 | 43.37 |