سیستم بهینه سازی چند منظوره برای انتخاب دروازه های موبایل
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سیستم بهینه سازی چند منظوره برای انتخاب دروازه های موبایل

عنوان فارسی مقاله: یک سیستم بهینه سازی چند منظوره برای انتخاب دروازه های موبایل در شبکه های ادهاک وسایل نقلیه
عنوان انگلیسی مقاله: A multi-objective optimization system for mobile gateways selection in vehicular Ad-Hoc networks
مجله/کنفرانس: کامپیوتر و مهندسی برق - Computers & Electrical Engineering
رشته های تحصیلی مرتبط: مهندسی فناوری اطلاعات
گرایش های تحصیلی مرتبط: سامانه های شبکه ای، اینترنت و شبکه های گسترده، شبکه های کامپیوتری
کلمات کلیدی فارسی: شبکه ادهاک وسیله نقلیه، انتخاب دروازه های تلفن همراه، بهینه سازی چند منظوره، مشکل محدودیت بهینه سازی، مشکل بهینه سازی عدد صحیح
کلمات کلیدی انگلیسی: Vehicular ad-Hoc network، Mobile gateways selection، Multi-Objective optimization، Constraint optimization problem، Integer optimization problem
نوع نگارش مقاله: مقاله پژوهشی (Research Article)
نمایه: Scopus - Master Journal List - JCR
شناسه دیجیتال (DOI): https://doi.org/10.1016/j.compeleceng.2018.12.004
دانشگاه: Intelligent Processing Systems and Security (IPSS), Computer Science Department, Faculty of Sciences, Mohammed V University in Rabat, Morocco
ناشر: الزویر - Elsevier
نوع ارائه مقاله: ژورنال
نوع مقاله: ISI
سال انتشار مقاله: 2019
ایمپکت فاکتور: 2/762 در سال 2018
شاخص H_index: 49 در سال 2019
شاخص SJR: 0/443 در سال 2018
شناسه ISSN: 0045-7906
شاخص Quartile (چارک): Q2 در سال 2018
فرمت مقاله انگلیسی: PDF
تعداد صفحات مقاله انگلیسی: 15
وضعیت ترجمه: ترجمه نشده است
قیمت مقاله انگلیسی: رایگان
آیا این مقاله بیس است: بله
کد محصول: E11300
فهرست انگلیسی مطالب

Abstract


1- Introduction


2- Background


3- Problem formulation and solving strategy


4- Simulation results


5- Conclusion


References

نمونه متن انگلیسی مقاله

Abstract


Vehicular ad-hoc networks provide essential Internet services to users. In consequence, mobile gateways are deployed to guarantee access to the Internet for the entire network. However, the selection of the best gateway taking into account some constraints and trying to reach some high-level objectives is a significant issue in mobile gateways discovery. The number of connected client vehicles must be maximized while a fair load distribution must be performed. For this purpose, we propose a multi-objective optimization system for mobile gateways selection based on two models using different solving strategies allowing the decision maker to choose the adequate solution. The solving approaches are evaluated and compared, and the simulations prove its efficiency compared to that found in the literature. The results show the effectiveness of the system in supporting a decision maker in solving a gateway selection problem and finding a fair solution in case there are no user preferences.


Introduction


In Vehicular Ad-hoc Networks (VANET), communication is established within a group of vehicles within the range of each other, this kind of connection is called Inter-Vehicle Communication (IVC). Furthermore, vehicles communicate with stationary types of equipment within the scope usually called road equipment, and we say that it is a Roadside-to-Vehicle Communication (RVC). The primary purpose of these vehicular networks is to help drivers and interested authorities by providing relevant information about the road. VANET is a useful technique in the so-called Intelligent Transportation Systems (ITS) and plays a role in improving road security and guaranteeing passenger comfort. Among the current challenges in ITS, we cite implementing real-time optimization and efficient systems. As a result, advances in cloud computing are used in this domain to enhance the services provided by ITS. The combination of these two fields becomes a massive research effort in the recent past [1]. Thanks to this union, new concepts are emerging such as vehicular cloud which provides all the services required by the autonomous vehicles [2]. Nowadays, it is possible to optimize the traffic control in the road thanks to many proposed applications deployed by information technology developers. However, cloud computing with its scalable access to computing resources represents a suitable solution for combining the Internet advantages and the technology improvements used on roads. Indeed, massive investment in hardware is not needed to implement the applications if cloud computing is merged to VANET as in [3,4].

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