IEEE Transactions on Communications · 1987 · 293 citations · 18 references
ComputingComputer EngineeringComputer ScienceComputer NetworksDigital CommunicationWireless CommunicationsCommunication NetworksMultiple Access TechniquesNetwork Performance AnalysisNetwork ProtocolsWireless Communication ProtocolsWireless NetworksCarrier Sense Multiple AccessJoint Probability AnalysisMedium Access Control ProtocolsNetwork Throughput AnalysisProduct-form NetworksProduct-form SolutionsThroughputWireless Network Models
The authors develop a Markov‑based product‑form solution to efficiently analyze the throughput of arbitrary‑topology multihop CSMA packet‑radio networks with perfect capture. The method models both exponential and non‑exponential packet lengths, preserves CSMA node dependence, and computes the joint probability of node transmissions. The product‑form analysis enables an automated algorithm that determines maximum throughput for networks up to 100 nodes, as demonstrated by numerical examples and extended to other protocols and acknowledgment scenarios.
In this paper, we use a Markov model to develop a product form solution to efficiently analyze the throughput of arbitrary topology multihop packet radio networks that employ a carrier sensing multiple access (CSMA) protocol with perfect capture. We consider both exponential and nonexponential packet length distributions. Our method preserves the dependence between nodes, characteristic of CSMA, and determines the joint probability that nodes are transmitting. The product form analysis provides the basis for an automated algorithm that determines the maximum throughput in networks of size up to 100 radio nodes. Numerical examples for several networks are presented. This model has led to many theoretical and practical extensions. These include determination of conditions for product form analysis to hold, extension to other access protocols, and consideration of acknowledgments.
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Open, Closed, and Mixed Networks of Queues with Different Classes of Customers
Forest Baskett, K. Mani Chandy, Richard R. Muntz et al. · Journal of the ACM · 1975 · 2.4K citations · Full text
Reversibility and Stochastic Networks
Antony Unwin, F. P. Kelly · Journal of the Operational Research Society · 1980 · 751 citations