The impact of the mobility of nodes on performance of TCP in MANET

Dobhal, Dinesh C.; Dimri, Sushil Chandra

doi:10.1109/iceca.2017.8203661

Cited by 2 publications

(2 citation statements)

References 9 publications

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“…Mobility models use different transmission algorithms based on mobility to simulate the movement of nodes from one location to another in the future. 11 Different mobility models are adopted in several applications; some are general standard models (e.g., random, temporal, and spatial dependency mobility models), while others, such as the RSSGM model 12,13 are the newest models designed to simulate particular tasks. Every model contains certain reference variables, such as speed and directions, for applying its algorithm to transfer from one location to another.…”

Section: Mobility Modelsmentioning

confidence: 99%

SSHS: SDN seamless handover system among LAN access points

Abbas

Alenazi

2023

Concurrency and Computation

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SummaryIn recent years, artificial intelligence techniques, such as software‐defined networks (SDNs), machine learning classification (ML classification), and mobility models (MMs), have become vital in developing networks. Furthermore, communication methodologies, such as handover, directly affect network performance. In this paper, we propose a new system named SSHS, SDN Seamless Handover System, that combines SDN with an ML classifier to administer the network connection of mobile nodes. Through the SSHS system, the SDN will centralize the control to enable comprehensive management over the network, coupled with a decision tree (DT) classifier in the RYU controller to bring intelligence to the SDN application by enabling data analysis and prediction among mobile nodes generated by the RSSGM model. We present the SSHS model's effectiveness in providing a seamless communication handover among multiple access points (APs). The results of this study revealed that the SSHS provided a seamless handover among APs by improving the throughput by 26%, and decreasing the delay of arriving packets by 73% to standard SDN handover system.

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Section: Mobility Modelsmentioning

confidence: 99%

SSHS: SDN seamless handover system among LAN access points

Abbas

Alenazi

2023

Concurrency and Computation

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“…These mobility models differ in their predefined assumptions, the input distributions they use, and the ways they generate route traces [14,15]. As shown in Table 1, these mobility models can be classified based on their characteristics into five categories [16,17]:…”

Section: Mobility Models In Wireless Networkmentioning

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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The impact of the mobility of nodes on performance of TCP in MANET

Cited by 2 publications

References 9 publications

SSHS: SDN seamless handover system among LAN access points

SSHS: SDN seamless handover system among LAN access points

RSSGM: Recurrent Self-Similar Gauss–Markov Mobility Model

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