AT TOPPaper 1294 US-M-XDOWN
Improving Performance of Parallel Simulation Kernel for Wireless Network Simulations
Thoppian,MansiUniversity of Texas at Dallas
Vu,HaiUniversity of Texas at Dallas
Venkatesan,S.University of Texas at Dallas
Prakash,RaviUniversity of Texas at Dallas
Mittal,NeerajUniversity of Texas at Dallas
Anderson,JacksonRockwell Collins
For decades simulations have been the means to study the behavior and analyze the performance of engineering, computer science, and military applications. In the sequential discrete-event driven simulations, the events are executed sequentially in an increasing order of their timestamp. Simulation of large complex applications using sequential simulators often turns out to be infeasible due to resource limitations. Parallelizing discrete-event simulation is acknowledged as the most promising approach for simulating large complex applications. Parallel discrete-event simulation refers to the execution of events from a single discrete-event simulation program in parallel. In this paper we focus on extracting parallel events for wireless ad hoc network simulations based on the distance and terrain information.

Mansi Thoppian received her B. Tech degree in Computer Science and Engineering from REC, Calicut, India in June 1998. She received her Masters in Computer Science from The University of Texas at Dallas, in August 2002. She is currently pursuing her PhD in Computer Science Department at University of Texas at Dallas. Her area of research is wireless ad hoc networks with primary focus on the MAC protocols for Cognitive Radio networks.