MANET protocol simulations considered harmful: the case for benchmarking

Hiranandani, D.; Garcia-Luna-Aceves, J.J.

doi:10.1109/mwc.2013.6590054

Cited by 23 publications

(18 citation statements)

References 9 publications

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“…Following best practices for simulation studies [35,46], we rigorously document the evaluation setup to foster reproducibility of our results. The technical platforms of this evaluation are the GT tool EMOFLON [47] and the network evaluation platform SIMONSTRATOR [61] with its contained network simulator PEERFACTSIM.KOM [73], as shown in Figure 26 and as described in detail in the following.…”

Section: Evaluation Setupmentioning

confidence: 99%

A systematic approach to constructing families of incremental topology control algorithms using graph transformation

et al. 2017

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Section: Evaluation Setupmentioning

confidence: 99%

A systematic approach to constructing families of incremental topology control algorithms using graph transformation

et al. 2017

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“…2. In [79], authors have discussed that researchers should avoid using default parameters available in the simulators rather these parameters should be modified according to changes in the network. In our proposed simulator, simulation parameters like number of channels, PR activity over these channels, energy model have been modified and the following subsections will cover the details of those layers which have been modified in NS-2 for simulation of CRSN environment.…”

Section: Architecturementioning

confidence: 99%

NS-2 based simulation framework for cognitive radio sensor networks

2016

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In this paper, we propose a simulation model for cognitive radio sensor networks (CRSNs) which is an attempt to combine the useful properties of wireless sensor networks and cognitive radio networks. The existing simulation models for cognitive radios cannot be extended for this purpose as they do not consider the strict energy constraint in wireless sensor networks. Our proposed model considers the limited energy available for wireless sensor nodes that constrain the spectrum sensing process -an unavoidable operation in cognitive radios. Our model has been thoroughly tested by per- The results generated by the model have been found accurate which can be considered for realization of CRSNs.Keywords Cognitive radio · dynamic spectrum access · wireless sensor networks · cognitive radio sensor networks · simulation model.

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“…One of the motivations of creating Dockemu, was in fact the same experience of encountering many out of date MANET routing protocols, or protocols that exist only in simulators that never made it to a real world OS implementation. Moreover, works done by Andel et al [3] and Hiranandani et al [2] in the case of MANETs simulation, discuss some of the flaws of tens of dozens of research papers where the simulation results fail to provide the sufficient information so their experiments can be independently repeatable or have tested their experiments with scenarios with default configurations, which do not come close to real life mobility patterns (Example: "Random Waypoint Mobility").…”

Section: Related Workmentioning

confidence: 99%

“…As outlined in [1], network simulators do not provide the sufficient accuracy, but are great for a first step in protocol testing. Also, the work of [2] and [3] provide some insightful information about the current state of Mobile Ad hoc Network (MANET) simulation and how we must reconsider the validity of the results obtained through simulators.…”

Section: Introductionmentioning

confidence: 99%

DOCKEMU -- A Network Emulation Tool

Cano

Biba

2015

2015 IEEE 29th International Conference on Advanced Information Networking and Applications Workshops

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Dockemu is developed because of the need for a well designed tool for emulating networks. The tool utilizes technologies that are tailored to a current researcher's needs, delivering a robust and dynamic framework. In the past, most emulation tools have tried to provide solutions without taking into consideration that the installation and configuration of the software can be very time consuming, not to mention, the complexity of setting up and running an actual experiment can become also a very complex task. Our approach provides the researcher the flexibility to rapidly create networks (wired or wireless), up to date operating systems and a user friendly method of installation and configuration, that translates into a streamlined workflow for the emulation of experiments. Also, the development of applications or prototypes can be made directly into a real world OS. This saves time, because the prototypes will only be developed once (not for a simulator first and then for a final OS) but the results will also be more accurate. Dockemu utilizes virtualization with Linux Containers through Docker and Linux Bridging along with NS-3 for the emulation of layers 1 and 2 of the OSI model.

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MANET protocol simulations considered harmful: the case for benchmarking

Cited by 23 publications

References 9 publications

A systematic approach to constructing families of incremental topology control algorithms using graph transformation

A systematic approach to constructing families of incremental topology control algorithms using graph transformation

NS-2 based simulation framework for cognitive radio sensor networks

DOCKEMU -- A Network Emulation Tool

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