Spatial and Temporal Correlation in Data Networks: In this project, we investigate the relationship between long range dependency (LRD) characteristics of the
network traffic originating from mobile wireless devices, and the correlations that exist between them. Towards
this aim, we first propose novel traffic models that capture the statistical patterns of spatial and temporal
correlations. We also study the impact of these correlations on the statistical attributes of the network traffic.
Further, we develop new correlation-aware resource provisioning schemes to cope with the traffic dynamics. Project Description
Wireless Multimedia Sensor Network: Wireless Multimedia Sensor Networks (WMSNs) are an emerging networking paradigm that allows retrieving video streams, still images,
as well as generic sensing data from the environment. A WMSN promises a wide range of potential applications in both civilian and military areas .
Different from conventional wireless sensor networks, a WMSN normally demands larger bandwidth and entails higher network throughput to transport large volume of data to remote data sink rapidly, reliably, and efficiently.
To encounter these problems, we shall evaluate existing solutions and open research issues at the application, transport, network, link, and physical layers. Project Description
Cognitive Radio Networks: The newly emerging Cognitive radio (CR) technology is envisaged to solve the problems in wireless networks resulting from the limited available spectrum and the inefficiency in the spectrum usage. Specifically in cognitive radio networks (CRNs),
the distributed multi-hop architecture, the dynamic network topology, and the time and location varying spectrum availability are some of the key distinguishing factors. We will address the current research challenges of the CRNs in terms of spectrum sensing, spectrum mobility, spectrum sharing, and higher layer protocols. Project Description