From NS-2 to NS-3 - Implementation and evaluation

Kamoltham, Nattavit; Nakorn, Kulit Na; Rojviboonchai, Kultida

doi:10.1109/comcomap.2012.6153999

Cited by 8 publications

(3 citation statements)

References 5 publications

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“…One of the major advantages of ns-3 over ns-2 is that the ns-3 supports the direct code execution feature, which allows the simulator to use real applications without code change. Moreover, ns-3 has been designed to be easily integrated into real testbeds and virtual machine environments [ 11 ]. The ns-3 simulator has been gaining popularity among researchers since its advent.…”

Section: Related Workmentioning

confidence: 99%

On the Fidelity of NS-3 Simulations of Wireless Multipath TCP Connections

Prakash

Abdrabou

2020

Sensors

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The multipath transmission control protocol (MPTCP) is considered a promising wireless multihoming solution, and the 3rd generation partnership project (3GPP) includes it as a standard feature in the fifth-generation (5G) networks. Currently, ns-3 (Network Simulator-3) is widely used to evaluate the performance of wireless networks and protocols, including the emerging MPTCP protocol. This paper investigates the fidelity of the Linux kernel implementation of MPTCP in the ns-3 direct code execution module. The fidelity of MPTCP simulation is tested by comparing its performance with a real Linux stack implementation of MPTCP using a hardware testbed for two different setups. One setup emulates the existence of a bottleneck link between the sending and receiving networks, whereas the other setup does not have such a bottleneck. The fidelity of ns-3’s simulation is tested for four congestion control algorithms, namely Cubic, linked-increases algorithm (LIA), opportunistic LIA (OLIA) and wVegas for relatively short and long data flows. It is found that the uplink MPTCP throughput performance exhibited by the ns-3 simulator matches the hardware testbed results only if the flows are long-lived and share no common bottleneck link. Likewise, the MPTCP throughput achieved during a downlink scenario using the ns-3 simulator and the hardware testbed are close to each other across all algorithms except wVegas regardless of the flow size if there is no bottleneck link. Moreover, it is observed that the impact of LTE handover on MPTCP throughput is less significant in the simulator than the real hardware testbed, and it is setup-dependent.

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Section: Related Workmentioning

confidence: 99%

On the Fidelity of NS-3 Simulations of Wireless Multipath TCP Connections

Prakash

Abdrabou

2020

Sensors

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“…In simulation, a network simulator, e.g. NS3 [44] is usually utilised to simulate and predict the behavior of a network without the presence of an actual network. It is easy to write scripts based on the simulator's APIs to simulate network scenarios.…”

Section: Experimental Evaluationmentioning

confidence: 99%

MAC-Layer Rate Control for 802.11 Networks: Lesson Learned and Looking Forward

Yin,

Hu,

Indulska

et al. 2018

Preprint

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Rate control at the MAC-layer is one of the fundamental building blocks in many wireless networks.Over the past two decades around thirty mechanisms have been proposed in the literature. Among them, there are mechanisms that make rate selection decisions based on sophisticated measurements of wireless link quality, and others that are based on straight-forward heuristics. Minstrel, for example, is an elegant mechanism that has been adopted by hundreds of millions of computers, yet, not much was known about its performance until recently. The purpose of this paper is to provide a comprehensive survey and analysis of existing solutions from the two fundamental aspects of rate control -metrics and algorithms. We also review how these solutions were evaluated and compared against each other. Based on our detailed studies and observations, we share important insights on future development of rate control mechanisms at the MAC-layer. This discussion also takes into account the recent developments in wireless technologies and emerging applications, such as Internet-of-Things, and shows issues that need to be addressed in the design of new rate control mechanisms suitable for these technologies and applications.

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“…The G-NET not only keeps the reactive characteristic of the DSR, but also performs periodical updates on the routes taking as base the inapt search features present in GAs [18]. The G-NET operation is validated through simulations based on the network simulator NS -3 [19] and its performance is compared to the performances of DSR and AODV protocols [20].…”

Section: Introductionmentioning

confidence: 99%

Geolocation Spectrum Database Assisted Optimal Power Allocation: Device-to-Device Communications in TV White Space

2016

KSII TIIS

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Vehicular Ad Hoc Networks (VANETs) are self-configuring networks where the nodes are vehicles equipped with wireless communication technologies. In such networks, limitation of signal coverage and fast topology changes impose difficulties to the proper functioning of the routing protocols. Traditional Mobile Ad Hoc Networks (MANET) routing protocols lose their performance, when communicating between vehicles, compromising information exchange. Obviously, most applications critically rely on routing protocols. Thus, in this work, we propose a methodology for investigating the performance of well-established protocols for MANETs in the VANET arena and, at the same time, we introduce a routing protocol, called Genetic Network Protocol (G-NET). It is based in part on Dynamic Source Routing Protocol (DSR) and on the use of Genetic Algorithms (GAs) for maintenance and route optimization. As G-NET update routes periodically, this work investigates its performance compared to DSR and Ad Hoc on demand Distance Vector (AODV). For more realistic simulation of vehicle movement in urban environments, an analysis was performed by using the VanetMobiSim mobility generator and the Network Simulator (NS-3). Experiments were conducted with different number of vehicles and the results show that, despite the increased routing overhead with respect to DSR, G-NET is better than AODV and provides comparable data delivery rate to the other protocols in the analyzed scenarios.

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From NS-2 to NS-3 - Implementation and evaluation

Cited by 8 publications

References 5 publications

On the Fidelity of NS-3 Simulations of Wireless Multipath TCP Connections

On the Fidelity of NS-3 Simulations of Wireless Multipath TCP Connections

MAC-Layer Rate Control for 802.11 Networks: Lesson Learned and Looking Forward

Geolocation Spectrum Database Assisted Optimal Power Allocation: Device-to-Device Communications in TV White Space

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