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نوع الوثيقة |
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مقال في مجلة دورية |
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عنوان الوثيقة |
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A Colored Petri Net Based Random Mobility Model for Wireless Communications A Colored Petri Net Based Random Mobility Model for Wireless Communications |
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الموضوع |
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علوم حاسبات |
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لغة الوثيقة |
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الانجليزية |
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المستخلص |
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In wireless network research, simulation is the most imperative technique to investigate
the network's behavior and validation. Wireless networks typically consist of mobile hosts;
therefore, the degree of validation is influenced by the underlying mobility model, and
synthetic models are implemented in simulators because real life traces are not widely
available. In wireless communications, mobility is an integral part while the key role of a
mobility model is to mimic the real life traveling patterns to study. The performance of
routing protocols and mobility management strategies e.g. paging, registration and
handoff is highly dependent to the selected mobility model. In this paper, we devise and
evaluate the Show Home and Exclusive Regions (SHER), a novel two-dimensional (2-D)
Colored Petri net (CPN) based formal random mobility model, which exhibits sociological
behavior of a user. The model captures hotspots where a user frequently visits and
spends time. Our solution eliminates six key issues of the random mobility models, i.e.,
sudden stops, memoryless movements, border effect, temporal dependency of velocity,
pause time dependency, and speed decay in a single model. The proposed model is able
to predict the future location of a mobile user and ultimately improves the performance of
wireless communication networks. The model follows a uniform nodal distribution and is a
mini simulator, which exhibits interesting mobility patterns. The model is also helpful to
those who are not familiar with the formal modeling, and users can extract meaningful
information with a single mouse-click. It is noteworthy that capturing dynamic mobility
patterns through CPN is the most challenging and virulent activity of the presented
research. Statistical and reachability analysis techniques are presented to elucidate and
validate the performance of our proposed mobility model. The state space methods allow
us to algorithmically derive the system behavior and rectify the errors of our proposed
model. |
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ردمد |
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1932-6203 |
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اسم الدورية |
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PLOS-1 |
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المجلد |
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10 |
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العدد |
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8 |
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سنة النشر |
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1436 هـ
2015 م |
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نوع المقالة |
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مقالة علمية |
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تاريخ الاضافة على الموقع |
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Monday, March 7, 2016 |
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الباحثون
| Sher Afzal Khan | Khan, Sher Afzal | باحث رئيسي | دكتوراه | skhan.afzal@gmail.com |
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