Study and performance evaluation of mobility models in MANET and WSN

Keerthi, D S; Chaithanyaranga, H. V.; Shreedevi, P.

doi:10.1109/iceeccot.2016.7955233

Cited by 4 publications

(5 citation statements)

References 4 publications

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“…ns-2 [73] Open source GloMoSim [74] Open source OPNet [75] Commercial QualNet [76] Commercial OMNeT++ [77,78] Open source COOJA Open source J-Sim [79] Open source SWANS [80] Open source TOSSIM [81] Open source ns-3…”

Section: Name Licensementioning

confidence: 99%

Design of a Technique for Accelerating the WSN Convergence Process

Papan,

Bridova,

Filipko

2023

Sensors

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A wireless sensor network (WSN) is a network that monitors the physical environment using small and energy-efficient sensor devices. The wide application of WSNs has caused them to be used in critical applications that require a quick response, even at the cost of higher consumption. In recent years, Fast Reroute (FRR) technology has been developed, which accelerates network recovery after line or node failure. This technology plays an important role in connection recovery and data recovery, which helps speed up detection and redirect traffic. In our work, we created a new modification of the Ad hoc On-Demand Distance Vector (AODV) routing protocol, where we added the fast detection of link failure used in the FRR area. This modification rapidly increased connection recovery time and was tested in the OMNET++ simulation environment. The modification was implemented based on an additional RFC 5880 Bidirectional Forwarding Detection (BFD) module, which speeds up failure detection by sending quick “Hello” messages.

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Section: Name Licensementioning

confidence: 99%

Design of a Technique for Accelerating the WSN Convergence Process

Papan,

Bridova,

Filipko

2023

Sensors

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“…This process is repeated until the simulation phase is terminated. The speed, direction, and pausing time are the key parameters of the mobility behavior of nodes in this approach [8,19].…”

Section: Random Waypoint Mobility Modelmentioning

confidence: 99%

“…Various mobility models have been introduced in the literature, and these models rely on different assumptions for user movement trajectories. For example, both random waypoint (RWP) and random walk (RW) mobility models predict the speed and direction of an object within a specific zone using random processes [8]. Random mobility models are straightforward and simple to apply.…”

Section: Introductionmentioning

confidence: 99%

RSSGM: Recurrent Self-Similar Gauss–Markov Mobility Model

et al. 2020

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Understanding node mobility is critical for the proper simulation of mobile devices in a wireless network. However, current mobility models often do not reflect the realistic movements of users within their environments. They also do not provide the freedom to adjust their degrees of randomness or adequately mimic human movements by injecting possible crossing points and adding recurrent patterns. In this paper, we propose the recurrent self-similar Gauss–Markov mobility (RSSGM) model, a novel mobility model that is suitable for applications in which nodes exhibit recurrent visits to selected locations with semi-similar routes. Examples of such applications include daily human routines, airplane and public transportation routes, and intra-campus student walks. First, we present the proposed algorithm and its assumptions, and then we study its behavior in different scenarios. The study’s results show that different and more realistic mobility traces can be achieved without the need for complex computational models or existing GPS records. Our model can flexibly adjust its behavior to fit any application by carefully tuning and choosing the right values for its parameters.

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“…Hong and Rappaport [9] propose a model that is build on top of a cell structure and apply walkers that pass those cells on straight lines and choose new directions at cell borders. Gu´erin [10] extends this model in a way that direction changes can be performed anywhere in a walk area. Some approaches model the direction choice with absolute angles while others like the one proposed by Zanoozi [11] calculate with relative changes to the current direction.…”

Section: Random Direction Modelmentioning

confidence: 99%

“…The impact of various mobility models like flag mobility and random waypoint mobility models on QoS issues in MANET and WSN are studied. The performance of the MANET and WSN are evaluated for the mobility models using QualNet 6.1 simulator [10]. Fahim Maan, N. Mazhar, presented the MANET Routing Protocols vs Mobility Models: A Performance Evaluation.…”

Section: Literature Survey On Qos In Manetmentioning

confidence: 99%

Analysing the Effects of Mobility Model on QoS in MANET

Garg¹,

Kumar²,

Chaturvedi³

2017

IJCA

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As we know that in a Mobile Adhoc Network [MANET], mobility is the very important factor. Mobility gives the flexibility to the node to move in the coverage area. Here, in MANET multiple mobility models are proposed and every model provides different mobility and Quality of Service (QoS) support to the nodes. In this paper, we will present a study on these mobility models and its effects on QoS support in MANET and important findings.

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Study and performance evaluation of mobility models in MANET and WSN

Cited by 4 publications

References 4 publications

Design of a Technique for Accelerating the WSN Convergence Process

Design of a Technique for Accelerating the WSN Convergence Process

RSSGM: Recurrent Self-Similar Gauss–Markov Mobility Model

Analysing the Effects of Mobility Model on QoS in MANET

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