<p>Sensorsim, a simulation framework that introduces new models and techniques for the design and analysis of sensor networks is developed [259]. Sensorsim inherits the core features of traditional event driven network simulators as well as builds up new features that include ability to model power usage in sensor nodes [259]. Sensorsim supports hybrid simulation that allows the interaction between real and simulated nodes, new communication protocols and real time user interaction with graphical data display [259].</p> <p>Existing tools for modelling wireless networks focus only on communication problems, do not support modelling power and sensing aspects. [260] presents a set of models and techniques that are embodied in a simulation tool for modelling wireless sensor networks. This models are derived with detail power measurements involving two different types of sensor nodes high end WINS nodes by Rockwell and low end experimental nodes built by the authors [260]. A Description of trade offs associated with adding detail to simulation models is provided [258]. Effects of detail in five case studies of wireless simulations for protocol design is evaluated. Ultimately the researcher must judge which level is included for a given question. However, here two approach is suggested to cope with varying levels of details. When error is not correlated, networking algorithms that are robust to a range of errors are often stressed in similar ways by random error as by detailed models. It suggests visualization techniques that can help pinpoint incorrect details and manage detail overload [258].</p> <h2 class="left">References</h2> [258] J. Heidemann, N. Bulusu, J. Elson, C. Intanagonwiwat, K. Lan, Y. Xu, W. Ye, D. Estrin, and R. Govindan. Effects of detail in wireless network simulation. To appear in SCS Communication Networks and Distributed Systems Modeling and Simulation Conference, Jan 2001.<br /><br /> [259] S. Park, A. Savvides, and M. B. Srivastava. A simulation framework for sensor networks. the 3rd ACM international workshop on Modeling, analysis and simulation of wireless and mobile systems, pages 104-111, Aug 2000.<br /><br /> [260] S. Park, A. Savvides, and M. B. Srivastava. On modeling networks of wireless microsensors. Joint international conference on on Measurement and modeling of computer systems, pages 318-319, Jun 2001.<br /><br /> [261] W. Ye, R. T. Vaughan, G. S. Sukhatme, J. Heidemann, D. Estrin, and M.J. Mataric. Evaluating control strategies for wireless networked robots using an integrated robot and network simulation. In Proc. of the IEEE International Conference on Robotics and Automation (ICRA 2001), May 2001.<br /><br /> From: http://sitestree.com/?p=5324<br /> Categories:111<br />Tags:<br /> Post Data:2006-11-07 06:50:31<br />
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