Delay efficient opportunistic routing in asynchronous multi-channel cognitive radio networks
Delay efficient opportunistic routing in asynchronous multi-channel cognitive radio networks
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DOI：
10.1007/s10878-013-9623-y
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发表时间：
2015-05
影响因子：
1
通讯作者：
Zhipeng Cai;Y. Duan;A. Bourgeois
中科院分区：
文献类型：
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作者：
Zhipeng Cai;Y. Duan;A. Bourgeois
在本文中，我们感兴趣的是为多跳多通道认知无线网络（crn）设计高效的分布式机会路由协议。在crn中，辅助用户（su）偶然地访问未使用的主信道，这会导致多跳路由的相当大的端到端延迟。造成延迟开销的主要原因是由于主用户的活动导致可用信道集随时间动态变化，这给有效探索频谱分集带来了挑战。我们处理这种动态网络的方法是构建一个跨层分布式机会路由协议。该协议综合考虑了通道感知策略、每个SU的转发器选择以及每个链路上的分组方案。我们对路由路径上每一跳的预期延迟进行数学建模。该延迟模型揭示了我们期望的端到端延迟分析，从中我们开发了一个分布式算法来导出机会路由协议的系统参数。大量的仿真结果表明，我们的机会路由协议在端到端延迟方面的性能有所提高，特别是对于具有高度动态信道条件的crn。
In this paper, we are interested in designing efficient distributed opportunistic routing protocols for multi-hop multi-channel cognitive radio networks (CRNs). In CRNs, secondary users (SUs) access unused primary channels opportunistically, which induces considerable end-to-end delays for multi-hop routing. The primary cause of the delay overhead is that the set of available channels change dynamically over time due to the activities of primary users, making it challenging to effectively explore the spectrum diversity. Our approach towards working with such a dynamic network is to construct a cross-layer distributed opportunistic routing protocol. Our protocol jointly considers the channel sensing strategy, the forwarder selection for each SU, and the package division scheme on each link. We mathematically model the expected delay of each hop along the routing path. This delay model sheds lights on our expected end-to-end delay analysis, from which we develop a distributed algorithm to derive the system parameters for the opportunistic routing protocol. Extensive simulation results indicate the improved performance of our opportunistic routing protocol in terms of end-to-end delay, especially for CRNs with highly dynamic channel conditions.