COST: a component-oriented discrete event simulator

Chen, G.; Szymański, Bolesław K.

doi:10.1109/wsc.2002.1172960

Cited by 31 publications

(17 citation statements)

References 6 publications

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“…A simulator has been developed in C++ using the Component Oriented Simulation Toolkit library [22]. Results obtained by the simulations are compared with those of the analytical model.…”

Section: Performance Resultsmentioning

confidence: 99%

Performance analysis of IEEE 802.11ac wireless backhaul networks in saturated conditions

Liao

Bellalta

Barceló

et al. 2013

J Wireless Com Network

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According to the ongoing IEEE 802.11ac amendment, the wireless network is about to embrace the gigabit-per-second raw data rate. Compared with previous IEEE standards, this significant performance improvement can be attributed to the novel physical and medium access control (MAC) features, such as multi-user multiple-input multiple-output transmissions, the frame aggregation, and the channel bonding. In this paper, we first briefly survey the main features of IEEE 802.11ac, and then, we evaluate these new features in a fully connected wireless mesh network using an analytic model and simulations. More specifically, the performance of the MAC scheme defined by IEEE 802.11ac, which employs the explicit compressed feedback (ECFB) mechanism for the channel sounding, is evaluated. In addition, we propose an extended request-to-send/clear-to-send scheme that integrates the ECFB operation to compare with the IEEE 802.11ac-defined one in saturated conditions. The comparison of the two MAC schemes is conducted through three spatial stream allocation algorithms. A simple but accurate analytical model is derived for the two MAC schemes, the results of which are validated with simulations. The observations of the results not only reveal the importance of spatial stream allocations but also provide insight into how the newly introduced features could affect the performance of IEEE 802.11ac-based wireless mesh networks.

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“…A simulator has been developed in C++ using the Component Oriented Simulation Toolkit library [22]. Results obtained by the simulations are compared with those of the analytical model.…”

Section: Performance Resultsmentioning

confidence: 99%

Performance analysis of IEEE 802.11ac wireless backhaul networks in saturated conditions

Liao

Bellalta

Barceló

et al. 2013

J Wireless Com Network

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“…To evaluate the protocol previously described a network simulator has been developed using the COST (Component Oriented Simulation Toolkit) package [15]. A network formed by N sensor nodes distributed over a plain area has been simulated, each node generates λ packets of a fixed length L data per second on average.…”

Section: Performance Resultsmentioning

confidence: 99%

Secure and Efficient Data Collection in Sensor Networks

Cano

Guerrero

Bellalta

2008

Wireless Systems and Mobility in Next Generation Internet

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Abstract-Sensor networks are a very specific type of wireless networks where both security and performance issues need to be solved efficiently in order to avoid manipulations of the sensed data and at the same time minimize the battery energy consumption. This paper proposes an efficient way to perform data collection by grouping the sensors in aggregation zones, allowing the aggregators to process the data generated (sensed) inside the aggregation zone in order to minimize the amount of transmissions to the sink. Moreover, the paper provides a security mechanism based on hash chains to secure data transmissions in networks with low capability sensors and without the requirements of an instantaneous source authentication.

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“…SENSE is built on top of COST (Chen and Szymanski 2002), a general-purpose discrete event simulator. The design of COST was influenced by concepts of component-based software architecture and component-based simulation.…”

Section: Component-based Designmentioning

confidence: 99%

Simulators and Emulators for WSNs

Fahmy

2016

Signals and Communication Technology

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Simulation is acting … Acting is not typical of real-life. WSN Testbeds, Simulators, and EmulatorsTestbeds, simulators, and emulators, are effective tools to evaluate algorithms and protocols at design, development and implementation stages. Many of these tools are available, each with different features, characteristics, models and architectures for performance testing of WSNs. They are the focus of this book, as discussed in the previous chapter and accomplished in this one. It is arduous for a researcher or a practitioner to choose an appropriate tool for performance evaluation without the knowledge of the available tools, their features, as well as the pros and cons. Similarly, efforts to improve existing simulators or designing a new one require detailed understanding of useful tools readily available. This necessitates comprehensive horizontal and vertical analysis among competitors at different stages. For vertical validation of experiments, a singular approach for conducting simulation, emulation, and real world experiments in mobile ad hoc networks using a single tool is proposed in (Krop et al. 2007). As such, vertical analysis complements horizontal analysis that is performed by investigating different testbeds at almost the same level of abstraction. Recognizing the immense and diverse literature available, this chapter aims at clarifying in full details all concepts and features related to modeling and simulation, simulators and emulators.Studying and analyzing WSNs goes through different phases and approaches, starting theoretical by simulation, ending up practical via testbeds, or working midway as in emulation. The basic differentiation, as shown in Fig. 6.1, can be outlined in what follows (Coulson et al. 2012):• Physical testbeds as detailed in the previous chapter excel at high-fidelity evaluation of mature WSN designs, as well as detailed planning for real-world deployments. However, physical testbeds for WSN systems tend to be small in

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COST: a component-oriented discrete event simulator

Cited by 31 publications

References 6 publications

Performance analysis of IEEE 802.11ac wireless backhaul networks in saturated conditions

Performance analysis of IEEE 802.11ac wireless backhaul networks in saturated conditions

Secure and Efficient Data Collection in Sensor Networks

Simulators and Emulators for WSNs

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