Mohammed Elbes

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Indoor localization with a significant degree of precision is extremely challenging. In this paper, we present a precise indoor localization approach based on novel particle filter and dynamic exclusion techniques. The approach is compared with the Euclidean Distance probabilistic methods used for localization. The novelty of the proposed approach stems(More)
The past few years witnessed a great interest in the issues related to transportation efficiency and safety. Intelligent Transportation Systems (ITS) are envisioned to be integrated in vehicles and road-side equipment to alert drivers of hazardous conditions (e.g., slow traffic, pot holes, road construction, lane departure, etc.). Several protocols have(More)
We investigate supporting emergency response operations with opportunistic resource utilization networks (“oppnets”), based on a network paradigm for inviting and integrating diverse devices and systems available in the environment. We simulate chemical spill on a single floor of a building and indicate how oppnets can assist first responders(More)
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