مدیریت منابع در شبکه های ادهاک وسیله نقلیه
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مدیریت منابع در شبکه های ادهاک وسیله نقلیه

عنوان فارسی مقاله: مدیریت منابع در شبکه های ادهاک وسیله نقلیه: طرح بهینه سازی فازی چند پارامتری
عنوان انگلیسی مقاله: Resource Management in Vehicular Ad Hoc Networks: Multi-parameter Fuzzy Optimization Scheme
مجله/کنفرانس: پروسه علوم کامپیوتر – Procedia Computer Science
رشته های تحصیلی مرتبط: مدیریت، مهندسی فناوری اطلاعات
گرایش های تحصیلی مرتبط: مدیریت فناوری اطلاعات، سامانه های شبکه ای، شبکه های کامپیوتری
کلمات کلیدی فارسی: منطق فازی؛ مدیریت منابع؛ VANETs؛ MP-FLRM
کلمات کلیدی انگلیسی: Fuzzy logic، resource management، VANETs، MP-FLRM
نوع نگارش مقاله: مقاله پژوهشی (Research Article)
شناسه دیجیتال (DOI): https://doi.org/10.1016/j.procs.2018.03.022
دانشگاه: College of Communication and Information Engineering – Nanjing University of Posts and Telecommunications – China
ناشر: الزویر - Elsevier
نوع ارائه مقاله: کنفرانس
نوع مقاله: ISI
سال انتشار مقاله: 2018
شناسه ISSN: 1877-0509
فرمت مقاله انگلیسی: PDF
تعداد صفحات مقاله انگلیسی: 6
وضعیت ترجمه: ترجمه نشده است
قیمت مقاله انگلیسی: رایگان
آیا این مقاله بیس است: خیر
کد محصول: E10535
فهرست انگلیسی مطالب

Abstract


1- Introduction


2- Fuzzy logic resource management scheme


3- Simulation


4- Conclusion


References

نمونه متن انگلیسی مقاله

Abstract


Large amount of information like text, audio and video exists in vehicular ad hoc networks(VANETs). However, the highly dynamic network feature and the limited memory of the local server pose challenges to resource management, which not only leads to the failure of resource presentations to users, but the transmission of the invalid fragment data would also result in the significant waste of precious bandwidth and memory. To solve this problem, this paper improved the fuzzy logic resource management (FLRM)--multi-parameter fuzzy logic resource management (MP-FLRM). In the scheme, we first gather and record the request time, download time and upload time for each resource by the designed Vehicle to Infrastructure (V2I) communication mode. Then survival time can be reached after defuzzifier of the three kinds of parameters, which can update the resource list in real time. Simulation results show that MP-FLRM can improve system throughput. In this way system performance was enhanced.


Introduction


Vehicular ad hoc networks (VANETs) have raised increasing attention from both academic research and industrial aspects resulting from its important role in driving assistant system [1]. Applications also lead many problems. For instance, large number of resources exists in VANETs including information like text, audio and video. So how to efficiently manage these resources is a key point when we do research on VANETs. However, VANETs are the type of network which features in high topology, intermittent connectivity, unstable links and local servers with limited memory[2]. These are meant to cause failure in resource delivery to users, as well as the transmission of large amounts of invalid fragment data, which absolutely wastes bandwidth and storage [3]. [4] proposed a resource reliability measurement algorithm (RRMA) to measure the reliability of each resource. “Reliability” refers to the functional and processing ability of each resource. Content allocation is a kind of local broadcasting service [5], where context storage is done in the form of large multimedia files and methods of storage differ in many kinds. In [6], the optimization–based resource management scheduling (RORMS) is based on the queuing theory, and compares the processing time of each resource. Then scheduler will allocate task to the resource which deals with the fast speed [7,8]. In [9], it proposes TLC (Trust point Load Balancing Method using Coalitional Game Theory) scheme to tackle the load balancing issue based on trust points. Based on the disadvantages of VANETs, such as the limited storage or low processing ability, [10] proposed a probabilistic key management algorithm for large-scale MANETs. [11]proposes a resource management scheme based on fuzzy logic. However, these papers all lose sight of the high speed of the vehicles and the large number of data existing in the networks. So it is necessary for us to propose a new resource management algorithm to stress these difficulties. This paper improves the resource management scheme in [11], we call it multi-parameter fuzzy logic resource management scheme (MP-FLRM). This paper revises the FLRM. Sets of request time, download time and upload time are collected by V2I communication mode. Based on fuzzy logic, more time parameter is added in the system to make  resource module in the local server.

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