Math Modeling Seminar - Stochastic Branching Process in Ad-hoc Network Communication
Stochastic Branching Process in Ad-hoc Network Communication Dr. Hyunsun LeeUniversity of Massachusetts Amherst and Hawai‘i Pacific UniversityAbstract:Ad hoc networks have been a fundamental building block for Machine-to-Machine (M2M) communications that can be often disconnected, intermittent, and limited. The consequent limitations have been addressed and researched. The proposed scheme for wireless ad hoc networks, based on a modified stochastic branching process, was developed to support data exchange in fast switching topology. A network of smart devices such as drones or vehicles with different velocity is featured in the simulation to replicate more realistic communication scenarios. Our approach aims at balancing reachability, node usage, and average branching factor in multi-hop data dissemination by locally regulating the transmission probability and adaptively selecting neighbor nodes.Speaker Bio:Dr. Hyunsun Lee earned her Ph.D. in Applied Mathematics at Stony Brook University, and worked at the University of Illinois Urbana-Champaign and Florida State University as a researcher. Currently Dr. Lee is a faculty member at the University of Massachusetts Amherst and Hawai‘i Pacific University.Intended Audience:1st and 2nd Year Math Modeling Ph.D. students are required to attend this seminar.
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