Demo Data from VLDB 2026 / reviewers in the wild / expert
Chung-Shiuan Chen
dblp:141/0695
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2014
—ORCID · unresolved
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 1
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 |
Wireless networking · 100% |
Topics — the 3 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Wireless networking
mobile ad hoc networks |
0.2 | 1 | 2014 | Autonomous Mobile Mesh Networks · IEEE Trans. Mob. Comput. 2014 |
Wireless networking › mobile ad hoc networks
network partitioning |
0.2 | 1 | 2014 | Autonomous Mobile Mesh Networks · IEEE Trans. Mob. Comput. 2014 |
Wireless networking › wireless network architecture › wireless network topology
topology adaptation |
0.2 | 1 | 2014 | Autonomous Mobile Mesh Networks · IEEE Trans. Mob. Comput. 2014 |
Methods — techniques the papers use, named apart from their topics
simulation · 0.2distributed client tracking · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2014 | Autonomous Mobile Mesh NetworksabstractMobile ad hoc networks (MANETs) are ideal for situations where a fixed infrastructure is unavailable or infeasible. Today's MANETs, however, may suffer from network partitioning. This limitation makes MANETs unsuitable for applications such as crisis management and battlefield communications, in which team members might need to work in groups scattered in the application terrain. In such applications, intergroup communication is crucial to the team collaboration. To address this weakness, we introduce in this paper a new class of ad-hoc network called Autonomous Mobile Mesh Network (AMMNET). Unlike conventional mesh networks, the mobile mesh nodes of an AMMNET are capable of following the mesh clients in the application terrain, and organizing themselves into a suitable network topology to ensure good connectivity for both intra- and intergroup communications. We propose a distributed client tracking solution to deal with the dynamic nature of client mobility, and present techniques for dynamic topology adaptation in accordance with the mobility pattern of the clients. Our simulation results indicate that AMMNET is robust against network partitioning and capable of providing high relay throughput for the mobile clients. Wei-Liang Shen, Chung-Shiuan Chen, Kate Ching-Ju Lin, Kien A. Hua |
IEEE Trans. Mob. Comput. | 2 |