RSSGM: Recurrent Self-Similar Gauss–Markov Mobility Model
| Autor: | Mohammed J. F. Alenazi, Maazen Alsabaan, Saleh Almowuena, Shatha O. Abbas |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Mobility model
Markov chain Computer Networks and Communications Wireless network Computer science Node (networking) Distributed computing lcsh:Electronics wireless networking lcsh:TK7800-8360 020206 networking & telecommunications 02 engineering and technology mobility model Gauss Markov Hardware and Architecture Control and Systems Engineering Signal Processing 0202 electrical engineering electronic engineering information engineering Cellular network mobile network 020201 artificial intelligence & image processing human mobility Electrical and Electronic Engineering Mobile device |
| Zdroj: | Electronics, Vol 9, Iss 2089, p 2089 (2020) Electronics Volume 9 Issue 12 |
| ISSN: | 2079-9292 |
| Popis: | 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&ndash 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&rsquo 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. |
| Databáze: | OpenAIRE |
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