Simulating networks of wireless sensors
Proceedings of the 33nd conference on Winter simulation
TOSSIM: accurate and scalable simulation of entire TinyOS applications
Proceedings of the 1st international conference on Embedded networked sensor systems
Network modeling and simulation: a scalable simulator for TinyOS applications
Proceedings of the 34th conference on Winter simulation: exploring new frontiers
WNS2 '06 Proceeding from the 2006 workshop on ns-2: the IP network simulator
ns+SDL: the network simulator for SDL systems
SDL'05 Proceedings of the 12th international conference on Model Driven
SDL code generation for network simulators
SAM'10 Proceedings of the 6th international conference on System analysis and modeling: about models
A wireless mesh sensing network for early warning
Journal of Network and Computer Applications
Simulation visualization of distributed communication systems
Proceedings of the Winter Simulation Conference
Simulation configuration modeling of distributed communication systems
SAM'12 Proceedings of the 7th international conference on System Analysis and Modeling: theory and practice
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In recent years, Wireless Sensor Networks (WSNs) have been primarily used to build ad-hoc telecommunication infrastructures from scratch or as low-cost alternatives to traditional networks. But the diversity of applications with typically narrow node resources and requirements of already existing information infrastructures sets hard constraints to WSN. The software development process becomes even more complicated when real-time constraints have to be taken into account. This is the case when the physical processes of the WSN environment have to be observed and are realized in space and time. For the development of such WSN we present a model-based framework (GAF4WSN), where the wellknown techniques SDL, UML and ASN.1 are involved. The framework was already successfully used for the development of a new generation of Earthquake EarlyWarning Systems (EEWS). An Earthquake Synthesizer (ES) and an ExperimentManagement System (EMS) complete the framework, which supports themodelling, simulation, installation and administration of different EEWS approaches in combination with a Geographic Information System (GIS).