ترجمه مقاله نقش ضروری ارتباطات 6G با چشم انداز صنعت 4.0
- مبلغ: ۸۶,۰۰۰ تومان
ترجمه مقاله پایداری توسعه شهری، تعدیل ساختار صنعتی و کارایی کاربری زمین
- مبلغ: ۹۱,۰۰۰ تومان
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.
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.