认知无线电网络终端检测技术研究
On Detecting Termination in Cognitive Radio Networks
摘要：
认知无线电网络是一种新兴的无线通信和计算模式。认知无线电节点在没有许可用户（也称为许可用户）的情况下在多个异构信道上执行计算。主要用户）。终止检测是分布式系统中一个基本而重要的问题。在本文中，我们提出了一个终止检测协议的多跳认知无线电网络中的认知无线电节点被允许调谐到目前没有被主用户占用的信道，并在协议执行过程中移动到不同的位置。该协议采用信用分配和聚集的方法，并保持了一种新的逻辑结构，称为虚拟树结构。虚拟树状结构有助于减少宣告终止所涉及的延迟。与传统的树结构不同，虚拟树状结构不需要特定节点充当必须保持参与计算直到终止通知的根结点;因此，根结点可以在完成其计算之后很快变为空闲。此外，该协议能够检测许可用户的存在，并宣布强或弱终止，无论哪种可能。
英文摘要：
The cognitive radio networks are an emerging wireless communication and computing paradigm. The cognitive radio nodes execute computations on multiple heterogeneous channels in the absence of licensed users (a.k.a. primary users) of those bands. Termination detection is a fundamental and non-trivial problem in distributed systems. In this paper, we propose a termination detection protocol for multi-hop cognitive radio networks where the cognitive radio nodes are allowed to tune to channels that are not currently occupied by primary users and to move to different locations during the protocol execution. The proposed protocol applies credit distribution and aggregation approach and maintains a new kind of logical structure, called the virtual tree-like structure. The virtual tree-like structure helps in decreasing the latency involved in announcing termination. Unlike conventional tree structures, the virtual tree-like structure does not require a specific node to act as the root node that has to stay involved in the computation until termination announcement; hence, the root node may become idle soon after finishing its computation. Also, the protocol is able to detect the presence of licensed users and announce strong or weak termination, whichever is possible.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
