دوره 4، شماره 4 - ( 9-1393 )                   جلد 4 شماره 4 صفحات 891-901 | برگشت به فهرست نسخه ها


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Fathian, Jafarian-Moghaddam, Yaghini. Improving Vehicular Ad-Hoc Network Stability Using Meta-Heuristic Algorithms . IJAE. 2014; 4 (4) :891-901
URL: http://www.iust.ac.ir/ijae/article-1-294-fa.html
Improving Vehicular Ad-Hoc Network Stability Using Meta-Heuristic Algorithms . مجله علمی پژوهشی مهندسی خودرو . 1393; 4 (4) :891-901

URL: http://www.iust.ac.ir/ijae/article-1-294-fa.html


چکیده:   (1658 مشاهده)
Vehicular ad-hoc network (VANET) is an important component of intelligent transportation systems, in which vehicles are equipped with on-board computing and communication devices which enable vehicle-to-vehicle communication. Consequently, with regard to larger communication due to the greater number of vehicles, stability of connectivity would be a challenging problem. Clustering technique as one of the most important data mining techniques is a possible method that can improve the stability of connectivity in VANET. Stable communication within a VANET leads to enhanced driver safety and better traffic management. Therefore, this paper presented a novel clustering algorithm based on ant system-based algorithm called IASC in order to provide a fast clustering algorithm with high accuracy and improve the stability of VANET topology. A comparative study was proposed to analogize the results of the proposed algorithm with six VANET clustering algorithms in the literature which were taken as benchmarks. Results revealed improvement in stability and overhead on VANET.
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نوع مطالعه: پژوهشي | موضوع مقاله: عمومى
دریافت: ۱۳۹۳/۱۱/۲۵ | پذیرش: ۱۳۹۳/۱۱/۲۵ | انتشار: ۱۳۹۳/۱۱/۲۵

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