Demo Data from VLDB 2026 / reviewers in the wild / expert
Zengbao Li
dblp:298/4225
· DBLP profile ↗
2ranked-venue papers
0as first author
2since 2021 · last 2022
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 2 · 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 |
Wireless sensing and localization · 77% Internet of things and sensor networks · 23% |
Topics — the 4 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Wireless sensing and localization
ranging |
1.1 | 2 | 2022 | Ultra-Wideband Swarm Ranging Protocol for Dynamic and Dense Networks · IEEE/ACM Trans. Netw. 2022 Ultra-Wideband Swarm Ranging · INFOCOM 2021 |
Wireless sensing and localization › ranging
ultra-wideband ranging |
1.1 | 2 | 2022 | Ultra-Wideband Swarm Ranging Protocol for Dynamic and Dense Networks · IEEE/ACM Trans. Netw. 2022 Ultra-Wideband Swarm Ranging · INFOCOM 2021 |
Internet of things and sensor networks › cyber-physical systems
swarm robotics |
0.7 | 2 | 2022 | Ultra-Wideband Swarm Ranging · INFOCOM 2021 Ultra-Wideband Swarm Ranging Protocol for Dynamic and Dense Networks · IEEE/ACM Trans. Netw. 2022 |
Wireless sensing and localization › RF-based localization
UWB localization |
0.1 | 1 | 2021 | Ultra-Wideband Swarm Ranging · INFOCOM 2021 |
Methods — techniques the papers use, named apart from their topics
UWB ranging protocol · 0.6real-world experiments · 0.5protocol design · 0.5
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2022 | Ultra-Wideband Swarm Ranging Protocol for Dynamic and Dense NetworksabstractNowadays, not only wearable and portable devices but also aerial and ground robots can be made smaller, lighter, cheaper, and thus as large as hundreds of them may form a swarm to participate in a complicated cooperative application, such as searching, rescuing, mapping, and war-battling. Devices and robots in such a swarm have three important features, namely, large number, high mobility and short distance, hence they form a dynamic and dense wireless network. Successful swarm cooperative applications require low latency communications and real-time localization. This paper proposes to use ultra-wideband (UWB) radio technology to implement both functionalities, because UWB is very time-sensitive that an accurate distance can be calculated using the transmission and reception timestamps of data messages. A UWB swarm ranging protocol is designed to achieve simultaneously wireless data communication and swarm ranging that allows a device/robot to compute the distances to all the peer neighbors at the same time. This protocol is designed for dynamic and dense networks, meanwhile it can also be used in various wireless networks and implemented on various types of devices/robots including low-end ones. In our experiment, this protocol is implemented on Crazyflies, STM32 microcontroller powered micro drones, with onboard UWB wireless transceiver chips DW1000. Extensive real-world experiments are conducted to verify the proposed protocol on various performance aspects, with a total of 9 Crazyflie drones in a compact area. The implemented swarm ranging protocol is open-sourced athttps://github.com/SEU-NetSI/crazyflie-firmware Feng Shan, Haodong Huo, Jiaxin Zeng, Zengbao Li, Weiwei Wu 0001, Junzhou Luo |
IEEE/ACM Trans. Netw. | 4 |
| 2021 | Ultra-Wideband Swarm RangingabstractNowadays, aerial and ground robots, wearable and portable devices are becoming smaller, lighter, cheaper, and thus popular. It is now possible to utilize tens and thousands of them to form a swarm to complete complicated cooperative tasks, such as searching, rescuing, mapping, and battling. A swarm usually contains a large number of robots or devices, which are in short distance to each other and may move dynamically. So this paper studies the dynamic and dense swarms. The ultra-wideband (UWB) technology is proposed to serve as the fundamental technique for both networking and localization, because UWB is so time sensitive that an accurate distance can be calculated using timestamps of the transmit and receive data packets. A UWB swarm ranging protocol is designed in this paper, with key features: simple yet efficient, adaptive and robust, scalable and supportive. This swarm ranging protocol is introduced part by part to uncover its support for each of these features. It is implemented on Crazyflie 2.1 drones, STM32 microcontrollers powered aerial robots, with onboard UWB wireless transceiver chips DW1000. Extensive real world experiments are conducted to verify the proposed protocol with a total of 9 Crazyflie drones in a compact area. Feng Shan, Jiaxin Zeng, Zengbao Li, Junzhou Luo, Weiwei Wu 0001 |
INFOCOM | 3 |