System architecture directions for networked sensors
ACM SIGPLAN Notices
TOSSIM: accurate and scalable simulation of entire TinyOS applications
Proceedings of the 1st international conference on Embedded networked sensor systems
Viptos: a graphical development and simulation environment for TinyOS-based wireless sensor networks
Proceedings of the 3rd international conference on Embedded networked sensor systems
Avrora: scalable sensor network simulation with precise timing
IPSN '05 Proceedings of the 4th international symposium on Information processing in sensor networks
Improving wireless simulation through noise modeling
Proceedings of the 6th international conference on Information processing in sensor networks
Co-simulation Tools for Networked Control Systems
HSCC '08 Proceedings of the 11th international workshop on Hybrid Systems: Computation and Control
Proceedings of the 7th ACM Conference on Embedded Networked Sensor Systems
NMLab: A Co-simulation Framework for Matlab and NS-2
SIMUL '10 Proceedings of the 2010 Second International Conference on Advances in System Simulation
Networked control system wind tunnel (NCSWT): an evaluation tool for networked multi-agent systems
Proceedings of the 4th International ICST Conference on Simulation Tools and Techniques
Integrated Modeling and Simulation Framework for Wireless Sensor Networks
WETICE '12 Proceedings of the 2012 IEEE 21st International Workshop on Enabling Technologies: Infrastructure for Collaborative Enterprises
A comprehensive co-simulation platform for cyber-physical systems
Computer Communications
Strip, bind, and search: a method for identifying abnormal energy consumption in buildings
Proceedings of the 12th international conference on Information processing in sensor networks
A Practical Guide to SysML: The Systems Modeling Language
A Practical Guide to SysML: The Systems Modeling Language
Hi-index | 0.00 |
Cyber-physical systems (CPS) involve communication networks, computation algorithms, control systems and physical systems. Many CPS, such as Smart Buildings, are subject to very expensive deployment costs and complex network interactions. Thus comprehensive modeling and simulation of such systems are crucial to ensure that they function as intended before deployment. Given the multi-domain nature of CPS, it is more appropriate to use a heterogeneous simulation environment to study system dynamics. In this paper, we design and implement an integrated modeling and co-simulation tool chain, called HybridSim, for the design and simulation of CPS. Firstly, HybridSim can transform and import existing system components from multi-domains into SysML, which enables systems engineers to design CPS with only these imported SysML blocks. Secondly, HybridSim can generate Functional Mock-up Units (FMUs) and configuration scripts directly from SysML designs. Finally, HybridSim can co-simulate these FMUs according to the Functional Mock-up Interface standard to synchronize their corresponding simulators and exchange information between them. We demonstrate the convenience and efficiency of HybridSim using a comprehensive hydronic heating system model for Smart Buildings as the case study to investigate the impact of packet loss and sampling rate introduced by the communication network.