GPSR Routing Performances Enhancement for VANET networks with Taguchi Optimization Mechanism

التفاصيل البيبلوغرافية
العنوان: GPSR Routing Performances Enhancement for VANET networks with Taguchi Optimization Mechanism
المؤلفون: Mohamed Elshaikh Elobaid, Hasimah Ali, Naimah Yaakob, Alaa K. Y. Dafhalla
المصدر: Journal of Physics: Conference Series. 1962:012058
بيانات النشر: IOP Publishing, 2021.
سنة النشر: 2021
مصطلحات موضوعية: History, Taguchi optimization, Vehicular ad hoc network, Computer science, Distributed computing, ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS, Routing (electronic design automation), Mechanism (sociology), Computer Science Applications, Education
الوصف: Routing mechanism plays an important role in the performances of Vehicular Ad Hoc Networks (VANET). Hence, various routing mechanisms are proposed to enhance VANET performances, however few researches are dedicated to optimize these routing mechanisms. In this paper an optimization mechanism is proposed to improve the performances of Greedy Perimeter stateless Routing (GPSR) protocol. Design of Experiments is used along with Taguchi Optimization method to fine tune GPSR internal routing parameters against VANET network scenarios. The target of optimization in this work is set to network performances including network throughput, delay and packet delivery ration (PDR). These targets are mathematically combined to form a single optimization target. A simulation experiments are performed to evaluate VANET performances. Obtained results showed that the proposed optimization improves the VANET performances in terms of throughput, PDR and delay. Further real-time integration of Optimization and routing mechanism can improve network performances.
تدمد: 1742-6596
1742-6588
DOI: 10.1088/1742-6596/1962/1/012058
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::9c8a9523a02f6f8f0892e9c5d6276b56
https://doi.org/10.1088/1742-6596/1962/1/012058
Rights: OPEN
رقم الانضمام: edsair.doi...........9c8a9523a02f6f8f0892e9c5d6276b56
قاعدة البيانات: OpenAIRE
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