DAWOOD ALABRI
	Ph.D. student alabri AT ufl DOT edu Wireless and Mobile Systems Laboratory Wireless Information Networking Group Department of Electrical and Computer Engineering University of Florida Gainesville, FL 32611 Phone: (352) 846-0861
	Wireless sensor network consists of a large collection of sensors that are periodically sampling some environment variable(s) and forwarding the measurements toward data sinks. In many of the envisioned applications, hundreds or thousands of sensors are needed to be deployed. With such model of deployment, the cost of a single sensor must be as cheap as possible which in turn means the capabilities (e.g. computing, communication ) of such sensors are limited. In addition, to extend the network life, sensors must conserve power consumption since, once deployed, it is not practical to recharge batteries either because it is impossible (sensors deployed in dangerous environment) or not practical (due to the large number of sensors). Due to all these constrains, sensor networks are usually highly optimized for specific application. Despite being specialized, in most applications, there is a need to associate the measurements collected with the location at which the measurements are done in order to delivery a meaningful information to the network operator. However, due to cost consideration, it is not possible to equip each sensor with device for location determination (e.g. GPS). As a compromise, only a fraction of the total nodes in the network are capable of determining their locations (reference nodes) and the rest of nodes must infer their locations from the information disseminated by the reference nodes. This is the problem of localization. Researchers have developed many localization scheme but unfortunately, most assume non-hostile environment, making such schemes vulnerable to attacks. I’m investigating improving localization robustness against attacks through the use of location verification. In location verification, the node is already assumed to have computed its location (e.g. through a non-secure localization scheme) and we would like to verify its location and consequently devise schemes to react accordingly (e.g. discard data from that particular sensor).
	CURRENT (SP’06): Digital Communication, Wireless Communication PAST GRADUATE COURSES (SELECTED): Error Control Coding, Digital Filtering, Image Processing, DSP, Analog Signal Processing (Intersection of biology, DSP, and analog circuits), Computer Communication, High-performance Networks, Wireless Networks.