A Joint Design for Distributed Stable Routing and Channel Assignment Over Multihop and Multiflow Mobile Ad Hoc Cognitive Networks
A Joint Design for Distributed Stable Routing and Channel Assignment Over Multihop and Multiflow Mobile Ad Hoc Cognitive Networks
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DOI：
10.1109/tii.2012.2228873
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发表时间：
2014-05
影响因子：
12.3
通讯作者：
F. Tang;L. Barolli;Jie Li
中科院分区：
文献类型：
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作者：
F. Tang;L. Barolli;Jie Li
在移动自组织认知网络（MACNets）中，数据通信受到链路不稳定和信道干扰的严重影响。MACNets中各链路的可用性和稳定性不仅高度依赖于相邻节点的相对运动，还依赖于主节点之间和认知节点之间的相邻通信。在多跳和多流MACNets中，这个问题变得更加严重，因为多个链路可能相互干扰。本文提出了一种基于移动性预测的联合稳定路由和通道分配（MP-JSRCA）跨层分布式方法，通过基于移动性预测联合选择稳定路由和分配通道来避免流间和流内干扰，从而最大限度地提高网络吞吐量。为了定量地衡量链路的通信质量，我们提出了一种新的度量数据传输成本（DTC），它可以捕获节点的移动性、对主节点的影响以及认知节点之间的信道冲突。在我们的MP-JSRCA中，每个中继节点在指定的扇区区域内选择DTC最小的最佳链路作为下一跳。基于ns2的仿真结果表明，MP-JSRCA算法显著提高了网络吞吐量，并且MACNets经历的干扰程度越高，改进效果越明显。
Data communication in mobile ad hoc cognitive networks (MACNets) significantly suffers from link instability and channel interference. The availability and stability of each link in MACNets highly depends on not only the relative movement of neighbor nodes but also the adjacent communication among primary nodes and among cognitive nodes. In multihop and multiflow MACNets, this problem becomes even worse because multiple links potentially interfere with each other. In this paper, we propose a cross-layer distributed approach, called mobility-prediction-based joint stable routing and channel assignment (MP-JSRCA), to maximize the network throughput by jointly selecting stable routes and assigning channels avoiding inter- and intra-flow interferences based on mobility prediction. To quantitatively measure the communication quality of links, we propose a new metric data transmission cost (DTC) that captures node mobility, impact to primary nodes, and channel conflict among cognitive nodes. In our MP-JSRCA, each relay node selects the best link with the smallest DTC as the next hop, within a specified sector region towards the destination. NS2-based simulation results demonstrate that our MP-JSRCA algorithm significantly improves network throughput, and the higher degree of interference MACNets experience, the more improvement can be achieved.