无线认知网络中拓扑控制方法研究

作为下一代通信网络,无线认知网络已成为当前的研究热点。由于节点的移动性,无线网络拓扑结构动态变化,拓扑控制一直是无线网络的难点问题。通过借鉴移动自组织网络(MANETS)中的拓扑控制方法,提出了无线认知网络中基于博弈论和认知功能相结合的拓扑控制方法。无线认知节点能够通过主动决策调节自身节点位置,在保证网络连通性的基础上实现网络覆盖面积最大。仿真实验结果验证了方法的有效性和收敛性。

Research on Topology Control Approach in Wireless Cognitive Networks

Wireless cognitive network as the next generation communication network has become a hot research topic. Topology control problem is a challenging task due to the node mobility and the dynamically changing topology. Referring to topology control approach in mobile ad hoc networks (MANETs), an efficient topology control approach based on game theory and cognitive function is proposed. Through the initiative decision making, wireless cognitive nodes can adjust their locations to achieve the maximum network coverage area, with guarantees of network connectivity. Analysis and simulation results demonstrate the effectiveness and convergence of the proposed approach.