TY - GEN
T1 - Collision resolution simulation for distributed control architectures using LonWorks
AU - Wang, Mianyu
AU - Lin, Erwei
AU - Woertz, Edward
AU - Kam, Moshe
PY - 2005
Y1 - 2005
N2 - Local Operating Networks (LonWorks) is a widely used industrial technology applied to distributed control, sensor, and actuator networks. LonWorks is based on ANSI/EIA standard 709.1, and uses the predictive p-persistent CSMA algorithm in the MAC sublayer for collision resolution and decentralized traffic control. In spite of its popularity, only a few design tools are available to simulate LonWorks architectures and predict their performance. In this paper, we describe a simulation model for the collision resolution algorithm of LonWorks, based on the OPNET Modeler. We present the design framework, and develop a state variable representation and state transition diagrams that allow accurate simulation of performance and prediction of the algorithm's behavior. To validate our model, we compared its predictions to measurements from a physical LonWorks testbed and a Markov chain analytical model, and demonstrated a high level of agreement.
AB - Local Operating Networks (LonWorks) is a widely used industrial technology applied to distributed control, sensor, and actuator networks. LonWorks is based on ANSI/EIA standard 709.1, and uses the predictive p-persistent CSMA algorithm in the MAC sublayer for collision resolution and decentralized traffic control. In spite of its popularity, only a few design tools are available to simulate LonWorks architectures and predict their performance. In this paper, we describe a simulation model for the collision resolution algorithm of LonWorks, based on the OPNET Modeler. We present the design framework, and develop a state variable representation and state transition diagrams that allow accurate simulation of performance and prediction of the algorithm's behavior. To validate our model, we compared its predictions to measurements from a physical LonWorks testbed and a Markov chain analytical model, and demonstrated a high level of agreement.
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U2 - 10.1109/COASE.2005.1506789
DO - 10.1109/COASE.2005.1506789
M3 - Conference contribution
AN - SCOPUS:33745939336
SN - 0780394267
SN - 9780780394261
T3 - Proceedings of the 2005 IEEE Conference on Automation Science and Engineering, IEEE-CASE 2005
SP - 319
EP - 326
BT - Proceedings of the 2005 IEEE Conference on Automation Science and Engineering, IEEE-CASE 2005
T2 - 2005 IEEE Conference on Automation Science and Engineering, IEEE-CASE 2005
Y2 - 1 August 2005 through 2 August 2005
ER -