Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data.

Tingchao Fan

dblp:259/7330 · DBLP profile ↗
← Back
2ranked-venue papers
1as first author
2since 2021 · last 2026
0000-0001-6515-0788ORCID · corroborated

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

Computer networks · 2 · 1 first-author · 2 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
2 papers
Internet of things and sensor networks · 67% Wireless networking · 19% Wireless sensing and localization · 9%

Topics — the 5 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Internet of things and sensor networks › underwater sensor networks › underwater communication
acoustic communication
1.012026
Neural-Enhanced Modulation for Spatial Selective Transmission on Low-End IoT Devices · IEEE Trans. Netw. 2026
Wireless networking
directional antenna
0.712023
Towards Spatial Selection Transmission for Low-end IoT devices with SpotSound · MobiCom 2023
Internet of things and sensor networks
iot security
0.712023
Towards Spatial Selection Transmission for Low-end IoT devices with SpotSound · MobiCom 2023
Internet of things and sensor networks › iot security
secure data transmission
0.712023
Towards Spatial Selection Transmission for Low-end IoT devices with SpotSound · MobiCom 2023
Wireless sensing and localization
multipath exploitation
0.312026
Neural-Enhanced Modulation for Spatial Selective Transmission on Low-End IoT Devices · IEEE Trans. Netw. 2026

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

software-defined acoustic signaling · 1.0multipath channel diversity · 1.0acoustic sensing · 0.7
YearPublicationVenuePosition
2026 Neural-Enhanced Modulation for Spatial Selective Transmission on Low-End IoT Devices
abstract
This paper tries to answer a question: “Can we achieve spatial-selective transmission on IoT devices?” A positive answer would enable more secure data transmission among IoT devices. The challenge, however, is how to manipulate signal propagation without relying on beamforming antenna arrays which are usually unavailable on low-end IoT devices. We give an affirmative answer by introducing SpotSound, a novel acoustic communication system that exploits the diversity of multi-path indoors as a naturalbeamformer. By judiciously controlling the way how the information is embedded into the signal, SpotSound can make the signal decodable only when the signal propagates along a certain multipath channel. Since the multipath channel decorrelates rapidly over the distance between receivers, SpotSound can ensure the signal is decodable only at the target position, achieving precise physical isolation. SpotSound is a purely software-based solution that can run on most IoT devices where speakers and microphones are widely used. We implement SpotSound on Raspberry Pi connected with COTS microphone and speaker. Experimental results show that SpotSound could precisely focus its signal on spots with customized sizes ranging from 0.04m2to 0.5m2.
Huangwei Wu, Tingchao Fan, Meng Jin 0002, Tao Chen 0033, Xinbing Wang, Chenghu Zhou
IEEE Trans. Netw.2
2023 Towards Spatial Selection Transmission for Low-end IoT devices with SpotSound
abstract
This paper tries to answer a question: "Can we achieve spatial-selective transmission on IoT devices?" A positive answer would enable more secure data transmission among IoT devices. The challenge, however, is how to manipulate signal propagation without relying on beamforming antenna arrays which are usually unavailable on low-end IoT devices.
Tingchao Fan, Huangwei Wu, Meng Jin 0002, Tao Chen 0033, Longfei Shangguan, Xinbing Wang, Chenghu Zhou
MobiCom1