ACM Transactions on Modeling and Computer Simulation (TOMACS)
Wireless Sensor Networks: An Information Processing Approach
Wireless Sensor Networks: An Information Processing Approach
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
Simulation Modeling and Analysis with Expertfit Software
Simulation Modeling and Analysis with Expertfit Software
Ad Hoc Distributed Simulations
Proceedings of the 21st International Workshop on Principles of Advanced and Distributed Simulation
Using On-line Simulation for Adaptive Path Planning of UAVs
DS-RT '07 Proceedings of the 11th IEEE International Symposium on Distributed Simulation and Real-Time Applications
Enhanced Situational Awareness: Application of DDDAS Concepts to Emergency and Disaster Management
ICCS '07 Proceedings of the 7th international conference on Computational Science, Part I: ICCS 2007
Evaluation of Fluid-Thermal Systems by Dynamic Data Driven Application Systems - Part II
ICCS '07 Proceedings of the 7th international conference on Computational Science, Part I: ICCS 2007
Large-scale network parameter configuration using an on-line simulation framework
IEEE/ACM Transactions on Networking (TON)
Ad Hoc Distributed Simulation of Queueing Networks
PADS '10 Proceedings of the 2010 IEEE Workshop on Principles of Advanced and Distributed Simulation
On the Accuracy of Ad Hoc Distributed Simulations for Open Queueing Network
PADS '11 Proceedings of the 2011 IEEE Workshop on Principles of Advanced and Distributed Simulation
WIPER: the integrated wireless phone based emergency response system
ICCS'06 Proceedings of the 6th international conference on Computational Science - Volume Part III
Evaluation of fluid-thermal systems by dynamic data driven application systems
ICCS'06 Proceedings of the 6th international conference on Computational Science - Volume Part III
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An ad hoc distributed simulation is a collection of online simulators embedded in a sensor network that communicate and synchronize among themselves. Each simulator is driven by sensor data and state predictions from other simulators. Previous work has examined this approach in transportation systems and queueing networks. Ad hoc distributed simulations have the potential to offer greater resilience to failures, but also raise a variety of statistical issues including: (a) rapid and effective estimation of the input processes at modeling boundaries; (b) estimation of system-wide performance measures from individual simulator outputs; and (c) correction mechanisms responding to unexpected events or inaccuracies of the model itself. This paper formalizes these problems and discusses relevant statistical methodologies that allow ad hoc distributed simulations to realize their full potential. To illustrate one aspect of these methodologies, an example concerning rollback threshold parameter selection is presented in the context of managing surface transportation systems.