WSC '95 Proceedings of the 27th conference on Winter simulation
The dynamic structure discrete event system specification formalism
Transactions of the Society for Computer Simulation International
Modeling formalisms for dynamic structure systems
ACM Transactions on Modeling and Computer Simulation (TOMACS)
Abstract simulators for the DSDE formalism
Proceedings of the 30th conference on Winter simulation
Multimodels and dynamic structure models: an integration of DSDE/DEVS and OOPM
Proceedings of the 30th conference on Winter simulation
GPSR: greedy perimeter stateless routing for wireless networks
MobiCom '00 Proceedings of the 6th annual international conference on Mobile computing and networking
Dynamic structures in modeling and simulation: a reflective approach
ACM Transactions on Modeling and Computer Simulation (TOMACS)
Wireless sensor networks: a survey
Computer Networks: The International Journal of Computer and Telecommunications Networking
Processing Dynamic PDEVS Models
MASCOTS '04 Proceedings of the The IEEE Computer Society's 12th Annual International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunications Systems
A flexible dynamic structure DEVS algorithm towards real-time systems
Proceedings of the 2007 Summer Computer Simulation Conference
LSIS_DME M&S environment extended by dynamic hierarchical structure DEVS modeling approach
SpringSim '07 Proceedings of the 2007 spring simulation multiconference - Volume 2
Simulation modeling architecture (SiMA), a DEVS based modeling and simulation framework
SCSC '09 Proceedings of the 2009 Summer Computer Simulation Conference
Hi-index | 0.00 |
In this paper, we present our approach to introduce dynamism support to simulation environments, which adopts a Discrete Event System Specification (DEVS)-based modeling and simulation approach and builds upon previous work on Simulation Modeling Architecture (SiMA), a DEVS-based simulation framework developed at TUBITAK UEKAE. In the relevant literature there are already proposed solutions to the dynamism support problem. One particular contribution offered in this study over previous approaches is the systematic framework support for post-structural-change state synchronization among models with related couplings, in a way that benefits from the strongly typed execution environment SiMA provides. In addition to introducing theoretical extensions to basic SiMA, we report the results of performance measurements to illustrate the added value of dynamism extensions over the basic version, using a sample wireless sensor network simulation.