认知无线电自组网中能量感知地理路由的干扰建模

Soodeh Amiri Doomari, Ghasem Miijalily
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引用次数: 0

摘要

在能量受限的认知无线自组织网络中,保护主用户不受辅助用户的干扰和节省更多的能量是至关重要的目标。在设计干扰感知路由协议时,对干扰的正确建模是影响网络性能的重要因素。本文在考虑两种不同干扰模型的基础上,提出了一种感知干扰和能量的认知无线自组网地理路由算法。该算法的新颖之处在于对干扰进行了新的建模,并提出了一种归一化的线性效用函数,以更好地控制端到端延迟、总干扰能量和goodput等设计指标。在该算法中,我们通过两种方法估计辅助用户引起的总干扰功率:i)使用路径损耗模型,ii)考虑辅助用户与主用户之间的重叠区域。从端到端延迟、平均累计干扰能量和goodput等不同角度对两种干扰模型的性能进行了评价。仿真结果表明,与[1]中提出的频谱和能量感知路由算法相比,该方案具有更高的效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Interference modeling for energy aware geographical routing in cognitive radio ad hoc networks
In an energy constrained cognitive radio ad-hoc network, protecting primary users from interferences caused by secondary users and saving more energy are crucial aims. In designing interference aware routing protocols, correct modeling of the interference is an important factor that affects the network performance considerably. In this paper, we propose an interference and energy aware geographical routing algorithm for cognitive radio ad-hoc networks by considering two different interference models. The novelty of the proposed algorithm lies in the new modeling of the interference and proposing a normalized linear utility function to have more control over design metrics such as end-to-end delay, aggregate interference energy and goodput. In proposed algorithm, we estimate the total interference power caused by secondary users in two ways: i) By using the path loss model, and ii) By considering the overlap areas between the secondary and primary users. The performance of the proposed algorithm is evaluated for both interference models from different perspectives such as end-to-end delay, average aggregate interference energy and goodput. The simulation results clarify the efficiency of the proposed scheme compared to the Spectrum and Energy aware Routing algorithm suggested in [1].
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