UbiNet (Ubiquitous Networking Research Lab)

The Ubiquitous Networking Research Lab (UbiNet Lab) in the Computer Science & Engineering  Department at the University of Connecticut is led by Prof. Jun-Hong Cui and Prof. Bing Wang. Our research efforts cover a wide range of topics in data communications and computer networks, spanning the protocol design,  network modeling, and performance evaluation of the Internet, wireless networks, sensor networks, peer-to-peer networks, and overlay networks. Recently, our research has been conducted along the following directions.

1. Scalable and efficient communications in overlay and peer-to-peer networks

We focus on the protocol and system design for multicasting, QoS, and other service-enhanced  communication support.

1. Aggregated Multicast
2. Multipath Data Transfer Using Overlay Networks
3. TOMA: A Two-Tier Overlay Multicast Architecture
4. QSON: A Quality-of-Service Overlay Network Architecture
5. PSON: A Peer-to-Peer Semantic Overlay Network File Sharing System

2. Scalable, reliable, and energy-efficient underwater sensor networks (UWSNs)

We address several fundamental issues for a scalable, reliable, and energy-efficient UWSN design, including data forwarding, reliable data transfer, congestion control, localization, synchronization, multiple-access control, data storage and managment, and power managment, etc.

3. Spatial property exploration in network measurement and modeling

We are especially interested in exploiting spatial properties in the modeling of network topology, network mobility, and group membership.

1. GEM: a Generalized Membership Model
2. SACA: SCM-based Adaptive Clustering Algorithm

4. Multimedia streaming

Our research focuses on developing innovative architecture and efficient transport schemes to support large-scale multimedia streaming.

5. Network measurements, modeling and performance evaluation

We conduct measurements in both wired and wireless networks. Our goal is to infer various network properties and develop models to assist understanding the complex Internet.