Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article An Empirical Model for Probability of Packet Reception in Vehicular Ad Hoc Networks | Hindawi Publishing Corporation EURASIP Journal on Wireless Communications and Networking Volume 2009 Article ID721301 12 pages doi 2009 721301 Research Article An Empirical Model for Probability of Packet Reception in Vehicular Ad Hoc Networks Moritz Killat and Hannes Hartenstein Institute of Telematics University of Karlsruhe Zirkel2 76131 Karlsruhe Germany Correspondence should be addressed to Moritz Killat killat@ Received 3 May 2008 Revised 7 September 2008 Accepted 28 November 2008 Recommended by Onur Altintas Today s advanced simulators facilitate thorough studies on VANETs but are hampered by the computational effort required to consider all of the important influencing factors. In particular large-scale simulations involving thousands of communicating vehicles cannot be served in reasonable simulation times with typical network simulation frameworks. A solution to this challenge might be found in hybrid simulations that encapsulate parts of a discrete-event simulation in an analytical model while maintaining the simulation s credibility. In this paper we introduce a hybrid simulation model that analytically represents the probability of packet reception in an IEEE network based on four inputs the distance between sender and receiver transmission power transmission rate and vehicular traffic density. We also describe the process of building our model which utilizes a large set of simulation traces and is based on general linear least squares approximation techniques. The model is then validated via the comparison of simulation results with the model output. In addition we present a transmission power control problem in order to show the model s suitability for solving parameter optimization problems which are of fundamental importance to VANETs. Copyright 2009 M. Killat and H. Hartenstein. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and .
