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Shanmu Wang

dblp:373/8845 · DBLP profile ↗
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3ranked-venue papers
1as first author
3since 2021 · last 2026
0009-0000-9368-4699ORCID · corroborated

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

Computer networks · 3 · 1 first-author · 3 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
3 papers
Internet of things and sensor networks · 57% Wireless sensing and localization · 40% Vehicular, aerial and satellite networks · 3%
Interdisciplinary, comprehensive, and emerging computing
1 paper
Smart cities and intelligent transportation · 100%

Topics — the 7 heaviest of 9, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Wireless sensing and localization
acoustic sensing
1.012026
FruitScope: A Non-Invasive Fruit Ripeness Sensing System via Multi-Resolution FMCW Design and Acoustic Sensing · SenSys 2026
Internet of things and sensor networks
battery-free sensing
1.012026
Deform to Inform: Persistent Batteryless Sensing via Antenna Deformation and RFID Impedance Adaptation · SenSys 2026
Internet of things and sensor networks › wireless sensor network
environmental monitoring
1.012026
Deform to Inform: Persistent Batteryless Sensing via Antenna Deformation and RFID Impedance Adaptation · SenSys 2026
Wireless sensing and localization › radar sensing
FMCW sensing
1.012026
FruitScope: A Non-Invasive Fruit Ripeness Sensing System via Multi-Resolution FMCW Design and Acoustic Sensing · SenSys 2026
Internet of things and sensor networks › RFID systems
passive RFID sensing
1.012026
Deform to Inform: Persistent Batteryless Sensing via Antenna Deformation and RFID Impedance Adaptation · SenSys 2026
Internet of things and sensor networks
non-invasive sensing
0.312026
FruitScope: A Non-Invasive Fruit Ripeness Sensing System via Multi-Resolution FMCW Design and Acoustic Sensing · SenSys 2026
Vehicular, aerial and satellite networks › autonomous driving
vehicular perception
0.212023
METRO: Magnetic Road Markings for All-weather, Smart Roads · SenSys 2023

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

magnetic sensing · 1.3impedance adaptation · 1.0antenna deformation · 1.0acoustic sensing · 1.0FMCW radar · 1.0
YearPublicationVenuePosition
2026 FruitScope: A Non-Invasive Fruit Ripeness Sensing System via Multi-Resolution FMCW Design and Acoustic Sensing
Shanmu Wang, Omid Abari
SenSys1
2026 Deform to Inform: Persistent Batteryless Sensing via Antenna Deformation and RFID Impedance Adaptation
abstract
A stable environment is critical for preserving product quality in industries such as pharmaceuticals and perishable goods logistics. While current RFID-based sensors enable wireless monitoring of temperature and moisture, they lack the ability to record threshold violations without continuous reader power or battery-supported logging. This paper presents AntSense, a battery-free RFID sensor that leverages stimuli-responsive structures to physically record environment violation events during the transit even when there is no reader available. When exposed to temperature or moisture beyond thresholds, memory alloy or solvable materials undergo irreversible geometric deformation, altering the integrated antenna’s characteristics. These changes remain detectable via standard RFID readers even after environment conditions normalize, enabling verification of transit integrity. Our prototype evaluations demonstrate reliable detection of threshold violations in real-world scenarios. By combining passive operation with persistent event recording, AntSense offers a scalable solution for supply chain monitoring without compromising the maintenance-free advantages of RFID technology.
Vishnu Naidu, Shanmu Wang, Kenneth J. Loh, Omid Abari
SenSys3
2023 METRO: Magnetic Road Markings for All-weather, Smart Roads
abstract
Road surface markings, like symbols and line markings, are vital traffic infrastructures for driving safety and efficiency. However, real-world conditions can impair the utility of existing road markings. For example, adverse weather conditions such as snow and rain can quickly obliterate visibility.
Jike Wang, Shanmu Wang, Yasha Iravantchi, Mingke Wang, Alanson P. Sample, Kang G. Shin, Xinbing Wang, Chenghu Zhou, Dongyao Chen
SenSys2