کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6873303 1440632 2018 8 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Performance analysis of smart cultural heritage protection oriented wireless networks
ترجمه فارسی عنوان
تجزیه و تحلیل عملکرد شبکه های بی سیم هویت فرهنگی هوشمند فرهنگی
کلمات کلیدی
حفاظت از میراث فرهنگی هوشمند، دستگاه به دستگاه، پیام پخش، سیلاب، انتخاب زمان انتخاب تصادفی،
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نظریه محاسباتی و ریاضیات
چکیده انگلیسی
Currently, Internet of Things (IoT) and wireless sensor network (WSN) techniques are widely used in the cultural heritage protection oriented networks for the environment monitoring, security enhancement issues, and etc. However, the low transmission rate and expandability of IoT and WSN limit the application variety of heritage protection networks. In this paper, we introduce the concept of device to device (D2D) communication manner from the 5G mobile network into the smart cultural heritage protection networks to solve the problems of various service requirement and coverage hole due to the location of the heritage. To enable the direct transmission among nodes, flooding based broadcast message transmission is widely utilized, which is used to obtain the prior knowledge that will be further used in the neighbor discovery, routing and other procedures. In this paper, we analyze the performance of flooding based broadcast message reception in D2D mode, where the influence of random time slot selection and message collision are reflected. Based on the random time slot selection manner and the related random process theory, we established the close form expression on the average number of received broadcast messages in the case of D2D without the coordination of central control node. Then, the proposed close form expression is validated through a numerical analysis platform. From the validation results, we find that the introduced closed form expression on the average number of received D2D broadcast packets is consistent with the simulation results.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Future Generation Computer Systems - Volume 81, April 2018, Pages 593-600
نویسندگان
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