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Mobile Ad-Hoc Networks
A team of researchers (Drs. Suresh Muknahallipatna, Margareta Stefanovic, Robert F. Kubichek, Mark Balas and Jerry C. Hamann) at the Dept. of Electrical and Computer Engineering, University of Wyoming are performing research to use Mobile Ad-Hoc Networks for Tactical Battlefield Communications. The current tasks addressed are Efficient Localization, Radio Propagation and Backbone formation. Some of the simulations are being performed using OPNET. [More on Ad-Hoc Networks]
A number of courses use the OPNET software to simulate advanced computer network concepts. A number of researchers are also using the OPNET software to implement and analyze the performance of algorithms developed for Mobile Ad-Hoc Networks. [More]
Work by the Fly Eye Group in this area includes research and development of new and highly capable sensors inspired by various biological systems. Current work is heavily involved with a vision sensors that mimic many aspects of the eye of the common house fly (Musca domestica). [More]
Current research is aimed at using geographic information to enhance establishment of ad hoc networks in new urban areas. This is done by applying advanced propagation modeling software to provide a-priori path loss information during network setup. Smart antenna technology guided by new control algorithms can further optimize network design. [More]
Signal processing research involves many aspects including image processing, signal processing, real-time embedded computer systems, wireless/satellite communications, and biomedical instrumentation. Some current focus is on application of statistical signal processing techniques and system identification methods to power system identification. Other general areas of research interest include signal processing education, random processes, array processing, detection and estimation, spectral estimation, and adaptive signal processing.