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Tran Huy Vu

dblp:81/10443 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2021
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Computer networks · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer networks
1 paper
Internet of things and sensor networks · 50% Wireless networking · 50%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Energy-efficient computing · 100%

Topics — the 6 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Wireless networking › WLAN
IEEE 802.11
0.512021
Low-Power Downlink for the Internet of Things using IEEE 802.11-compliant Wake-Up Receivers · INFOCOM 2021
Internet of things and sensor networks › low-power wireless
low-power iot communication
0.512021
Low-Power Downlink for the Internet of Things using IEEE 802.11-compliant Wake-Up Receivers · INFOCOM 2021
Internet of things and sensor networks › low-power wireless
wake-up receiver
0.512021
Low-Power Downlink for the Internet of Things using IEEE 802.11-compliant Wake-Up Receivers · INFOCOM 2021
Wireless networking
WLAN
0.512021
Low-Power Downlink for the Internet of Things using IEEE 802.11-compliant Wake-Up Receivers · INFOCOM 2021
Energy-efficient computing
energy harvesting
0.112021
Low-Power Downlink for the Internet of Things using IEEE 802.11-compliant Wake-Up Receivers · INFOCOM 2021
Energy-efficient computing › energy harvesting
RF energy harvesting
0.112021
Low-Power Downlink for the Internet of Things using IEEE 802.11-compliant Wake-Up Receivers · INFOCOM 2021

Methods — techniques the papers use, named apart from their topics

simulation · 1.0prototype implementation · 1.0
YearPublicationVenuePosition
2021 Low-Power Downlink for the Internet of Things using IEEE 802.11-compliant Wake-Up Receivers
abstract
Ultra-low power communication is critical for supporting the next generation of battery-operated or energy harvesting battery-less Internet of Things (IoT) devices. Duty cycling protocols and wake-up receiver (WuRx) technologies, and their combinations, have been investigated as energy-efficient mechanisms to support selective, event-driven activation of devices. In this paper, we go one step further and show how WuRx can be used for an efficient and multi-purpose low power downlink (LPD) communication channel. We demonstrate how to (a) extend the wake-up signal to support low-power flexible and extensible unicast, multicast, and broadcast downlink communication and (b) utilize the WuRx-based LPD to also improve the energy efficiency of uplink data transfer. In addition, we show how the non-negligible energy overhead of conventional microcontroller based decoding of LPD communication can be substantially reduced by using the low-power universal asynchronous receiver/transmitter (LPUART) module of modern microcontrollers. Via experimental studies, involving both a functioning prototype and larger-scale simulations, we show that our proposed approach is compatible with conventional WLAN and offers a two-orders-of-magnitude improvement in uplink throughput and energy overheads over a competitive, IEEE 802.11 PSM-based baseline. This new LPD capability can also be used to improve the RF-based energy harvesting efficiency of battery-less IoT devices.
Johannes Blobel, Tran Huy Vu, Archan Misra, Falko Dressler
INFOCOM2