基于活动和移动性路由协议的crahn中pu移动性的影响

Faisal Awad Mahgoub, H. Elsayed, S. Ramly, Ieee Senior
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引用次数: 0

摘要

认知无线电(CR)能够识别未使用的频谱,以便认知用户(cu)在不干扰主用户(pu)的情况下占用该频谱。由于可用信道的多样性,认知无线自组织网络(CRAHNs)中的路由是一项非常具有挑战性的任务。本文提出了基于移动和活动的路由协议(MABRP)。在该协议中,cu根据收集到的频谱和移动信息发现下一跳。此外,还研究了利用协作通信机制揭示新的路由机会,提高路由质量,并使主从网络真正共存。基于PDR (packet delivery ratio)、端到端时延、路由开销和跳数两种不同场景(移动pu场景和静态pu场景),对MABRP和认知Ad-hoc按需距离矢量(Cognitive Ad-hoc demand Distance Vector, CAODV)的性能进行了评估。路由通道的可用性会随着pu相对位置的变化而动态变化。在NS2模拟器上进行了性能评估。仿真结果表明,与CAODV路由协议相比,MABRP在平均PDR方面具有更好的性能,在低pu活动情况下,开销和端到端延迟略有增加。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Effect of PUs Mobility in CRAHNs using an Activity and Mobility Based Routing Protocol
Cognitive Radio (CR) is capable to identify the unused spectrum in order to allow Cognitive users (CUs) to occupy it without interfering the primary users (PUs). Routing in Cognitive Radio Ad-Hoc Networks (CRAHNs) is a very challenging task due to diversity in the available channels. In this paper, Mobility and Activity Based Routing Protocol (MABRP), is proposed. In the proposed protocol, CUs discover next hops based on the collected spectrum and mobility information. In addition, using cooperative communication mechanisms to reveal new routing opportunities, enhance route qualities, and enable true coexistence of primary and secondary networks is investigated. The performance of MABRP and Cognitive Ad-hoc On-demand Distance Vector (CAODV) are evaluated on the basis of packet delivery ratio (PDR), end-to-end delay, routing overhead, and hop count in two different scenarios: mobile PUs scenario, and static PUs scenario. The availability of a routing channel dynamically varies in time due to the changes of the PUs relative positions. The performance evaluation is carried out using NS2 simulator. The simulation results proved that MABRP achieves better performance in terms of average PDR, with a slight increase in overhead and end-to-end delay in low PUs activity compared to CAODV routing protocol.
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