دانلود رایگان مقاله انگلیسی رویکرد برآورد احتمالی اتصال گره ها بر اساس شبکه بیزی برای DTN - نشریه IEEE 2018

عنوان فارسی
رویکرد برآورد احتمالی اتصال گره ها بر اساس شبکه بیزی برای DTN
عنوان انگلیسی
Nodes contact probability estimation approach based on Bayesian network for DTN
صفحات مقاله فارسی
0
صفحات مقاله انگلیسی
4
سال انتشار
2018
نشریه
آی تریپل ای - IEEE
فرمت مقاله انگلیسی
PDF
نوع مقاله
ISI
پایگاه
اسکوپوس
کد محصول
E8935
رشته های مرتبط با این مقاله
مهندسی کامپیوتر، فناوری اطلاعات
گرایش های مرتبط با این مقاله
هوش مصنوعی، شبکه های کامپیوتری
مجله
سمپوزیوم عملیات شبکه و مدیریت - IEEE/IFIP Network Operations and Management Symposium
دانشگاه
School of Computer Science and Engineering - Beihang University - Beijing - China
کلمات کلیدی
شبکه Delay Tolerance، احتمال بیزی، ارزیابی احتمالی تماس
doi یا شناسه دیجیتال
https://doi.org/10.1109/NOMS.2018.8406211
چکیده

Abstract


Delay tolerant network (DTN) known as suffering from frequent disruption, high latency and heterogeneous, resulting in low network availability. To improve DTN availability, routing protocols typically need to predict the probability of encountering the nodes. In this paper, we use the Bayesian Network (BN) to construct the knowledge base, which is an unique tool for creating a representation of the dependence relationships among DTN parameters. Then developed a Bayesian networkbased approach to estimate the contact probability among nodes of DTN. We conducted an experiment to compare our approach against its counterparts in PROPHET routing protocol and power law distribution-based method. The experiment shows our approach is superior to other methods in both recall ratio and precision in all four datasets, including HAGGLE, NUS, REALITY and SASSY.

نتیجه گیری

IV. CONCLUSION AND FUTURE WORK


In this paper, we use the Bayesian Network (BN) to construct the knowledge base, which is an unique tool for creating a representation of the dependence relationships among DTN parameters. Then developed a Bayesian based approach to estimate the contact probability among DTN nodes. We conducted an experiment to compare our approach against its counterparts in PROPHET routing protocol and power law distribution based method. The experiment shows our approach is superior to other methods in both recall ratio and precision in all four datasets.For the future work, we are going to develop a routing protocol based on BACE.


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