دانلود رایگان مقاله انگلیسی پروتکل مسیریابی الهام گرفته از میکروب برای VANETs - نشریه IEEE 2017

عنوان فارسی
پروتکل مسیریابی الهام گرفته از میکروب برای VANETs
عنوان انگلیسی
A Microbial Inspired Routing Protocol for VANETs
صفحات مقاله فارسی
0
صفحات مقاله انگلیسی
10
سال انتشار
2017
نشریه
آی تریپل ای - IEEE
فرمت مقاله انگلیسی
PDF
نوع مقاله
ISI
پایگاه
اسکوپوس
کد محصول
E10758
رشته های مرتبط با این مقاله
مهندسی فناوری اطلاعات
گرایش های مرتبط با این مقاله
شبکه های کامپیوتری
مجله
مجله IEEE اینترنت اشیا - IEEE Internet of Things Journal
دانشگاه
School of Transportation Science and Engineering - Beihang University - China
کلمات کلیدی
شبکه های ادهاک وسیله نقلیه، پروتکل مسیریابی، مکانیزم تطبیقی، شبکه الهام گرفته از زیست شناختی، انتخاب جذب سلولی
doi یا شناسه دیجیتال
https://doi.org/10.1109/JIOT.2017.2737466
۰.۰ (بدون امتیاز)
امتیاز دهید
چکیده

Abstract


We present a bio-inspired unicast routing protocol for vehicular Ad Hoc Networks which uses the cellular attractor selection mechanism to select next hops. The proposed unicast routing protocol based on attractor selecting (URAS) is an opportunistic routing protocol, which is able to change itself adaptively to the complex and dynamic environment by routing feedback packets. We further employ a multi-attribute decision-making strategy, the Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS), to reduce the number of redundant candidates for next-hop selection, so as to enhance the performance of attractor selection mechanism. Once the routing path is found, URAS maintains the current path or finds another better path adaptively based on the performance of current path, that is, it can self-evolution until the best routing path is found. Our simulation study compares the proposed solution with the state-of-the-art schemes, and shows the robustness and effectiveness of the proposed routing protocol and the significant performance improvement, in terms of packet delivery, end-toend delay, and congestion, over the conventional method.

نتیجه گیری

 CONCLUSION


In this paper we complement our previously proposed URAS (pre-URAS) and provide a more comprehensive study of performance under improved experimental conditions. Compared to GPSR with mechanical routing mechanism and pre-URAS with high randomness, in this paper URAS achieves rapid self-correction and improvement by the selfadaptive characteristic of EASM, and uses TOPSIS to filter candidate nodes, thus improves the speed of the adaptation to the change of external network environment. From the above experimental results, we can find that URAS performs better than GPSR and pre-URAS in the simulation in terms of arrival rate, delay and overall congestion.


بدون دیدگاه