دانلود رایگان مقاله انگلیسی مدیریت منابع در شبکه های ادهاک وسیله نقلیه - الزویر 2018

عنوان فارسی
مدیریت منابع در شبکه های ادهاک وسیله نقلیه: طرح بهینه سازی فازی چند پارامتری
عنوان انگلیسی
Resource Management in Vehicular Ad Hoc Networks: Multi-parameter Fuzzy Optimization Scheme
صفحات مقاله فارسی
0
صفحات مقاله انگلیسی
6
سال انتشار
2018
نشریه
الزویر - Elsevier
فرمت مقاله انگلیسی
PDF
نوع نگارش
مقالات پژوهشی (تحقیقاتی)
رفرنس
دارد
کد محصول
E10535
رشته های مرتبط با این مقاله
مدیریت، مهندسی فناوری اطلاعات
گرایش های مرتبط با این مقاله
مدیریت فناوری اطلاعات، سامانه های شبکه ای، شبکه های کامپیوتری
مجله
پروسه علوم کامپیوتر - Procedia Computer Science
دانشگاه
College of Communication and Information Engineering - Nanjing University of Posts and Telecommunications - China
کلمات کلیدی
منطق فازی؛ مدیریت منابع؛ VANETs؛ MP-FLRM
doi یا شناسه دیجیتال
https://doi.org/10.1016/j.procs.2018.03.022
چکیده

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.

نتیجه گیری

Conclusion


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 for resource module in the local server. Priority is given to every resource based on the survival time. System will delete the resource which survival time stays the shortest and keeps shorter all the time. By this way can the resource list be updated in time, and server storage balanced too. According to the comparison of the three schemes, it is estimated that the MPFLRM has better performance based on the throughput with different arrival rate, time and the number of the stored resource.


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