无线认知传感器网络MAC层调度算法研究

Research on the Scheduling Algorithms in MAC Layer of Wireless Cognitive Sensor Network

在无线认知传感器网络(WCSN)中,MAC层的主要任务是为不同发射机分配和调度通信资源。信道调度的目标是实现信道效用(或吞吐量)最大化。但WCSN的可用通信资源可能具有动态特性,因此,MAC层必须适应当前的频谱状况,这就要求较高的处理速度和快速的信息采集。文章描述了WCSN的基本模型,分析了其MAC层调度目标和调度算法,研究了认知网络控制(CNC)算法的性能,并给出了分布式情形中的调度算法。

In Wireless Cognitive Sensor Network （WCSN）, the main task of MAC layer is to allocate and schedule communication resources to different trans- mitters. Moreover, the criterion for scheduling the channels is to maximizing the channel utility, or e- quivalently maximizing the throughput. However, the available communication resource could be dynamical in WCSN. Hence, the MAC layer must be adaptive to the current spectrum situation, which demands high processing speed and fast information collection. This paper describes the basic model of WCSN, ana- lyzes the scheduling criterion and algorithms in MAC Layer of WCSN and studies the performance of the Cognitive Network Control （CNC） algorithm. In con- clusion, we present the scheduling algorithm for dis- tributive scenarios.