On the accuracy of physical layer modelling within wireless network simulators

Bazzi, Alessandro; Pasolini, Gianni

doi:10.1016/j.simpat.2011.11.004

Cited by 3 publications

(3 citation statements)

References 19 publications

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“…However, ns-2 is found to be too slow when involving large numbers of nodes (in their case, over 5000 nodes) and has provided more than enough necessary details at the lower network layers. However, this contradicts with the research conducted by Bazzi and Pasolini (2012) [79], which maintain that ns-2 does not provide enough details or sufficiently accurate models of the wireless communication layers. Divecha et al (2007) [80] compare the effects of various mobility models on the DSR (Johnson and Maltz, 2007, [81]) and Destination-Sequenced Distance Vector (DSDV) (Perkins and Bhagwat, 1994, [24]) routing protocols, using ns-2 developed and extended for the Monarch Project (nS2, nd).…”

Section: Ns-2 and Ns-3 In Mobile Ad Hoc Network Researchmentioning

confidence: 79%

Building Realistic Mobility Models for Mobile Ad Hoc Networks

Pullin¹,

Pattinson²,

Kor³

2018

Informatics

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A mobile ad hoc network (MANET) is a self-configuring wireless network in which each node could act as a router, as well as a data source or sink. Its application areas include battlefields and vehicular and disaster areas. Many techniques applied to infrastructure-based networks are less effective in MANETs, with routing being a particular challenge. This paper presents a rigorous study into simulation techniques for evaluating routing solutions for MANETs with the aim of producing more realistic simulation models and thereby, more accurate protocol evaluations. MANET simulations require models that reflect the world in which the MANET is to operate. Much of the published research uses movement models, such as the random waypoint (RWP) model, with arbitrary world sizes and node counts. This paper presents a technique for developing more realistic simulation models to test and evaluate MANET protocols. The technique is animation, which is applied to a realistic scenario to produce a model that accurately reflects the size and shape of the world, node count, movement patterns, and time period over which the MANET may operate. The animation technique has been used to develop a battlefield model based on established military tactics. Trace data has been used to build a model of maritime movements in the Irish Sea. Similar world models have been built using the random waypoint movement model for comparison. All models have been built using the ns-2 simulator. These models have been used to compare the performance of three routing protocols: dynamic source routing (DSR), destination-sequenced distance-vector routing (DSDV), and ad hoc n-demand distance vector routing (AODV). The findings reveal that protocol performance is dependent on the model used. In particular, it is shown that RWP models do not reflect the performance of these protocols under realistic circumstances, and protocol selection is subject to the scenario to which it is applied. To conclude, it is possible to develop a range of techniques for modelling scenarios applicable to MANETs, and these simulation models could be utilised for the evaluation of routing protocols.

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Section: Ns-2 and Ns-3 In Mobile Ad Hoc Network Researchmentioning

confidence: 79%

Building Realistic Mobility Models for Mobile Ad Hoc Networks

Pullin¹,

Pattinson²,

Kor³

2018

Informatics

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“…Fig. 2 shows an example of the approximation in (6), by comparing αΨ s (γ) and the measured value of effective throughput Ψ e (θ i ) varying γ and θ i . The figure confirms that the proposed model in (6) with the estimated α is a a suitable fit of the measured points.…”

Section: A Estimation Of the Attenuation Factormentioning

confidence: 99%

“…An accurate simulation of the PHY layer would in fact require, in principle, a bit-by-bit generation per each transmitter and every receiver, a conversion to electromagnetic signals, and the propagation through a multi-path variable channel; clearly, this kind of simulation is not compatible with the requirements of a network-level simulator with large vehicles' densities and different levels of mobility. Several approaches have been proposed to reduce the burden of PHY layer simulation in the evaluation of several communication technologies (i.e., not only V2X), which are tailored to the specific communications technology under investigation [4]- [6].…”

Section: Introductionmentioning

confidence: 99%

A Physical Layer Model for the Performance Evaluation of V2X Communication

Bartoletti¹,

Wu²,

Martínez³

et al. 2022

Preprint

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Recent advancements in V2X communications have greatly increased the flexibility of the physical and MAC layers. The performance evaluation of V2X communication systems should take such flexibility into account through a cross-layer approach, which often leads to complex evaluation processes. Indeed, many performance evaluations presented in the literature rely on simple models to abstract the physical layer of the supported technologies. However, such models are usually not general, i.e., their applications are limited to specific scenarios or technologies, thus failing to reflect the flexibility of current V2X communications. Alternative solutions require computationally intensive simulations at the link level or non-trivial parameter tuning. The goal of this paper is to develop a new approach for modeling V2X communications at the physical layer. The approach is general for different technologies and has been validated through experimental data and system simulations with both IEEE 802.11p and sidelink LTE-V2X technologies.

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Performance evaluation of RSVP using OPNET Modeler

Pana

Put

2014

Simulation Modelling Practice and Theory

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On the accuracy of physical layer modelling within wireless network simulators

Cited by 3 publications

References 19 publications

Building Realistic Mobility Models for Mobile Ad Hoc Networks

Building Realistic Mobility Models for Mobile Ad Hoc Networks

A Physical Layer Model for the Performance Evaluation of V2X Communication

Performance evaluation of RSVP using OPNET Modeler

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