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首页> 外文期刊>Parallel and Distributed Systems, IEEE Transactions on >Mobility Prediction Based Joint Stable Routing and Channel Assignment for Mobile Ad Hoc Cognitive Networks
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Mobility Prediction Based Joint Stable Routing and Channel Assignment for Mobile Ad Hoc Cognitive Networks

机译：Ad Hoc认知网络中基于移动性预测的联合稳定路由和信道分配

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摘要

Link instability and channel interference cause significant performance degradation to mobile ad hoc cognitive networks (MACNets). Existing work designs routing and assigns channels separately or does not consider mobility prediction and channel vacation to primary nodes. In this paper, we investigate how to jointly optimize route setup and channel assignment. Firstly, we propose an integrated data transmission cost (IDTC) to quantitatively measure the communication quality of links. This novel routing metric IDTC integratively considers 1) node mobility, 2) co-channel interference among primary and cognitive nodes, 3) relay workload on a specified channel, and 4) distance between the relay and the destination node. We, then, design channel assignment algorithms that completely avoid the interference with primary nodes and minimize the conflict to cognitive nodes. Finally, we propose a joint stable routing and channel assignment (J-SRCA) protocol based on mobility prediction for the network throughput maximization. In our J-SRCA, each link selected hop by hop is simultaneously assigned an interference-avoiding channel during a route setup. NS2-based simulation results demonstrate that our J-SRCA significantly improves various network performance, and the higher interference degree cognitive networks experience, the more improvement our J-SRCA will bring to the networks.
机译：链路不稳定和信道干扰会导致移动自组织认知网络（MACNet）的性能显着下降。现有工作设计路由并分别分配信道，或者不考虑移动性预测和主节点的信道休假。在本文中，我们研究了如何共同优化路线设置和通道分配。首先，我们提出了一种综合数据传输成本（IDTC），以定量地测量链路的通信质量。这种新颖的路由度量IDTC综合考虑了1）节点移动性，2）主节点和认知节点之间的同信道干扰，3）指定信道上的中继工作负载以及4）中继与目标节点之间的距离。然后，我们设计通道分配算法，该算法可以完全避免与主节点的干扰，并最大限度地减少与认知节点的冲突。最后，我们提出了一种基于移动性预测的联合稳定路由和信道分配（J-SRCA）协议，以实现网络吞吐量的最大化。在我们的J-SRCA中，在路由设置过程中，逐跳选择的每个链接会同时分配一个避免干扰的信道。基于NS2的仿真结果表明，我们的J-SRCA显着改善了各种网络性能，并且干扰程度较高的认知网络体验越多，我们的J-SRCA将为网络带来更多的改进。

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