Experimental Evaluation of Wireless Simulation Assumptions Export

@article{newport:axioms, abstract = {All analytical and simulation research on ad hoc wireless networks must necessarily model radio propagation using simplifying assumptions. A growing body of research, however, indicates that the behavior of the protocol stack may depend significantly on these underlying assumptions. The standard response to this problem is a call for more realism in designing radio models. But how much realism is enough? This study is the first to approach this question by validating simulator performance (both at the physical and application layers) with the results of real-world data. Referencing an eXtensive set of measurements from a large outdoor routing eXperiment, we start by evaluating the relative realism of common assumptions made in radio model design, identifying those which provide a reasonable approXimation of reality. Although several such investigations have been made for static sensor networks, radio behavior in mobile network deployments is a much less-studied topic. We then reproduce our eXperimental setup in our simulator, and generate the same application-layer metrics under progressively smaller sets of these assumptions. By comparing the simulated outcome to the outcome of our eXperiment, we are able to discern at what point our balance of simplification and realism captures the real behavior of our target environment.}, author = {Newport, Calvin and Kotz, David and Yuan, Yougu and Gray, Robert S. and Liu, Jason and Elliott, Chip}, citeulike-article-id = {2869185}, citeulike-linkout-0 = {http://dx.doi.org/10.1177/0037549707085632}, doi = {10.1177/0037549707085632}, journal = {SIMULATION: Transactions of The Society for Modeling and Simulation International}, keywords = {crawdad, dartmouth\_outdoor, measurement, wireless}, month = {September}, number = {9}, pages = {643--661}, posted-at = {2008-06-06 12:10:27}, priority = {2}, publisher = {SAGE Publications}, title = {Experimental Evaluation of Wireless Simulation Assumptions}, url = {http://dx.doi.org/10.1177/0037549707085632}, volume = {83}, year = {2007} }

TY - JOUR ID - newport:axioms L3 - citeulike-article-id:2869185 N2 - All analytical and simulation research on ad hoc wireless networks must necessarily model radio propagation using simplifying assumptions. A growing body of research, however, indicates that the behavior of the protocol stack may depend significantly on these underlying assumptions. The standard response to this problem is a call for more realism in designing radio models. But how much realism is enough? This study is the first to approach this question by validating simulator performance (both at the physical and application layers) with the results of real-world data. Referencing an eXtensive set of measurements from a large outdoor routing eXperiment, we start by evaluating the relative realism of common assumptions made in radio model design, identifying those which provide a reasonable approXimation of reality. Although several such investigations have been made for static sensor networks, radio behavior in mobile network deployments is a much less-studied topic. We then reproduce our eXperimental setup in our simulator, and generate the same application-layer metrics under progressively smaller sets of these assumptions. By comparing the simulated outcome to the outcome of our eXperiment, we are able to discern at what point our balance of simplification and realism captures the real behavior of our target environment. IS - 9 JF - SIMULATION: Transactions of The Society for Modeling and Simulation International EP - 661 TI - Experimental Evaluation of Wireless Simulation Assumptions PB - SAGE Publications VL - 83 SP - 643 KW - crawdad KW - dartmouth_outdoor KW - measurement KW - wireless AU - Newport, Calvin AU - Kotz, David AU - Yuan, Yougu AU - Gray, Robert AU - Liu, Jason AU - Elliott, Chip PY - 2007/September// UR - http://dx.doi.org/10.1177/0037549707085632 ER -