Proceedings of the First International ICST Conference on Simulation Tools and Techniques for Communications Networks and Syste 2008
DOI: 10.4108/icst.simutools2008.3053
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Implementing MAC Protocols for Cooperative Relaying: A Compiler-Assisted Approach

Abstract: Evaluating the performance of a cooperative relaying protocol requires an implementation for simulators and/or software-defined radios (SDRs) with an appropriate model for error detection, combining, and Medium Access Control (MAC) automaton. Such implementations are essential for meaningful evaluation of practical systems since any protocol introduces overhead that constrains the theoretical performance in non-obvious ways. Unfortunately, protocols for cooperative relaying often yield complex implementations … Show more

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Cited by 9 publications
(5 citation statements)
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References 15 publications
(16 reference statements)
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“…MiXiM [29] is an integration effort that combines several OMNeT++ simulators. One of them is the Mobility Framework (MF) [15], the others are a MAC simulator [32], Positif (a simulator for localization) [33] and ChSim (a simulator targeting radio propagation models) [37].…”
Section: Interval Formatmentioning
confidence: 99%
“…MiXiM [29] is an integration effort that combines several OMNeT++ simulators. One of them is the Mobility Framework (MF) [15], the others are a MAC simulator [32], Positif (a simulator for localization) [33] and ChSim (a simulator targeting radio propagation models) [37].…”
Section: Interval Formatmentioning
confidence: 99%
“…One of them is the Mobility Framework (MF) [15], the others are a MAC simulator [26], Positif (a simulator for localization) [27] and ChSim (a simulator targeting radio propagation models) [29].…”
Section: Miximmentioning
confidence: 99%
“…from BonnMotion) Figure 3: Specification of the Simulation Platform agation models from the CHannel SIMulator (ChSim) [29], the MAC simulator [26], and the Positif framework [27]. COOJA integrates COOJA, MSPSim, Avrora [44] and has been made compliant with BonnMotion output.…”
Section: Common Outputmentioning
confidence: 99%
“…As for wireless channels, the effect of these functions can be modeled at SNR-level (Lichte and Valentin 2008).…”
Section: Physical Layer Modelsmentioning
confidence: 99%