Demo Data from VLDB 2026 / reviewers in the wild / expert
Rong L. Zheng
dblp:41/9176
· DBLP profile ↗
3ranked-venue papers
1as first author
0since 2021 · last 2010
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 1 · 1 first-authorTheory of computation · 1Applied, interdisciplinary, general and emerging computing · 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
2 papers |
Internet of things and sensor networks · 58% Physical-layer communications · 25% Datacenter networks · 12% |
Topics — the 5 heaviest of 6, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Internet of things and sensor networks › wireless sensor network
data aggregation |
0.2 | 2 | 2010 | Order-Optimal Data Aggregation in Regular Wireless Sensor Networks · IEEE Trans. Inf. Theory 2010 Toward Optimal Data Aggregation in Random Wireless Sensor Networks · INFOCOM 2007 |
Internet of things and sensor networks
wireless sensor network |
0.2 | 2 | 2010 | Order-Optimal Data Aggregation in Regular Wireless Sensor Networks · IEEE Trans. Inf. Theory 2010 Toward Optimal Data Aggregation in Random Wireless Sensor Networks · INFOCOM 2007 |
Physical-layer communications › beamforming
distributed beamforming |
0.1 | 2 | 2010 | Order-Optimal Data Aggregation in Regular Wireless Sensor Networks · IEEE Trans. Inf. Theory 2010 Toward Optimal Data Aggregation in Random Wireless Sensor Networks · INFOCOM 2007 |
Datacenter networks
many-to-one communication |
0.1 | 1 | 2007 | Toward Optimal Data Aggregation in Random Wireless Sensor Networks · INFOCOM 2007 |
Physical-layer communications
cooperative communication |
0.0 | 1 | 2007 | Toward Optimal Data Aggregation in Random Wireless Sensor Networks · INFOCOM 2007 |
Methods — techniques the papers use, named apart from their topics
stochastic geometry · 0.1information-theoretic scaling laws · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2010 | Order-Optimal Data Aggregation in Regular Wireless Sensor NetworksabstractThe predominate traffic patterns in a wireless sensor network are many-to-one and one-to-many communication. Hence, the performance of wireless sensor networks is characterized by the rate at which data can be disseminated from or aggregated to a data sink. In this paper, the problem of data aggregation at a single sink is considered. It is shown that a data aggregation rate of Θ(logn/n) per node is optimal and that this rate can be achieved in regular wireless sensor networks using a generalization of cooperative beamforming called cooperative time-reversal communication. Richard J. Barton, Rong L. Zheng |
IEEE Trans. Inf. Theory | 2 |
| 2007 | Toward Optimal Data Aggregation in Random Wireless Sensor NetworksabstractData gathering is one of the most important services provided by wireless sensor networks (WSNs). Since the predominant traffic pattern in data gathering services is many-to-one communication, it is critical to understand the limitations of many-to-one information flows and devise efficient data aggregation protocols to support prolonged operations in WSNs. In this paper, we provide a theoretical characterization of data aggregation processes under different communication modalities in WSNs. We demonstrate that data aggregation rates of Theta(log(n)/n) and Theta(1) are optimal when operating in fading environments with power path-loss exponents that satisfy 24, respectively. Furthermore, the optimal rate can be achieved using a generalization of cooperative beam-forming called cooperative time-reversal communication. In contrast, the non-cooperative multihop relay strategies widely adopted in literature are shown to be suboptimal in the low-to-medium attenuation regime (for 2 < alpha < 4). Rong L. Zheng, Richard J. Barton |
INFOCOM | 1 |
| 2006 | Cooperative Time-Reversal Communication is Order-Optimal for Data Aggregation in Wireless Sensor NetworksabstractData gathering is one of the most important services provided by wireless sensor networks (WSNs). The predominant traffic pattern in data gathering services is many-to-one communication. Hence, it is critical to understand the limitations of many-to-one information flows and devise efficient data aggregation protocols to support prolonged operations in WSNs. In this paper, we demonstrate that a data aggregation rate of p(logn/n) is optimal and that this rate can be achieved using a generalization of cooperative beam forming called cooperative time-reversal communication. In contrast, the non-cooperative multihop relay strategies widely adopted in the literature are shown to be suboptimal in both capacity and network lifetime Richard J. Barton, Rong L. Zheng |
ISIT | 2 |