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首页> 外文会议>IEEE Global Communications Conference >Joint Routing and Channel Assignment for Delay Minimization in Multi-Channel Multi-Flow Mobile Cognitive Ad Hoc Networks
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Joint Routing and Channel Assignment for Delay Minimization in Multi-Channel Multi-Flow Mobile Cognitive Ad Hoc Networks

机译：多通道多流动移动认知临时网络延迟最小化的联合路由和频道分配

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Channel interference and node mobility cause significant performance degradation to wireless networks. In multi-channel multi-flow mobile cognitive ad hoc networks, it becomes even worse due to both unexpected primary user activities and potential interference among multiple flows. In this paper, we propose a Joint Routing and Channel Assignment (JRCA) approach based on delay prediction. Firstly, it formulates the JRCA problem with the objective of delay minimization. Next, a delay prediction model is proposed based on the channel collision probability. Then, a heuristic algorithm joints routing and channel assignment is designed to solve the JRCA problem. the JRCA algorithm can find out the path with minimal end-to-end (e2e) delay. NS2-based simulation results demonstrate that the JRCA approach significantly outperforms related proposals in terms of average e2e delay.
机译：通道干扰和节点移动性对无线网络导致显着的性能下降。在多通道多流动移动认知ad hoc网络中，由于意外的主要用户活动和多个流之间的潜在干扰，它变得更糟。在本文中，我们提出了一种基于延迟预测的联合路由和通道分配（JRCA）方法。首先，它具有延迟最小化的目的的制定JRCA问题。接下来，基于信道碰撞概率提出延迟预测模型。然后，旨在解决JRCA问题的启发式算法接头路由和通道分配。 JRCA算法可以找到具有最小端到端（E2E）延迟的路径。基于NS2的仿真结果表明，JRCA方法在平均E2E延迟方面显着优于相关的建议。

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