A Topology Control and Routing Method in MCRNs Based on Power Consumption and Link Stability

详细信息    查看全文

• 作者：Shuqi Liu ; Yiming Wang ; Cuimei Cui
• 关键词：Mobile cognitive radio networks ; Local topology control ; Routing ; Cognitive link availability ; Power consumption
• 刊名：Wireless Personal Communications
• 出版年：2017
• 出版时间：February 2017
• 年：2017
• 卷：92
• 期：4
• 页码：1347-1363
• 全文大小：
• 刊物类别：Engineering
• 刊物主题：Communications Engineering, Networks; Signal,Image and Speech Processing; Computer Communication Networks;
• 出版者：Springer US
• ISSN：1572-834X
• 卷排序：92

文摘

In this paper, we study topology control and routing issues in mobile cognitive radio networks and propose local cognitive topology control algorithm (LCTCA) to provide the optimal network topology for routing. LCTCA combines link availability with link power consumption to form a multiobjective metric of network topology and routing optimization. The link availability prediction is aware of the interference from secondary users to primary users, the spectrum utilization of primary users, the mobility of secondary users and primary users. Based on the link availability and the power consumption, LCTCA captures the dynamic changes of the topology and constructs a reliable topology under the conditions of network connectivity, which is aimed at selecting the optimal network path and mitigating frequently rerouting. We further analyze the effect of power consumption and link stability on cognitive radio network path selection. Simulation investigation is also provided to verify the theoretical analysis. It shows that the link power consumption and the link stability are both important when selecting the network path.