一种适合Underlay认知无线传感网络的跨层路由算法  

A Cross-layer Routing Algorithm for Underlay Cognitive Radio Sensor Networks

作　　者：佘远亚 朱宇[1] 

机构地区：[1]复旦大学通信科学与工程系

出　　处：《微型电脑应用》2014年第6期26-30,共5页Microcomputer Applications

摘　　要：在Underlay认知无线传感网络(Underlay Cognitive Radio Sensor Network,Underlay CRSN)中,由于每个信道被主用户所使用的状态随机变化,设计路由算法不仅需要考虑网络中节点的能量消耗以及延长网络寿命的需求,还要考虑路由路径上各链路的信道选择策略对路径数据传输可靠性的影响。该文研究了Underlay认知无线电模型下的CRSN路由问题,提出了一种适合该路由问题的链路Utility函数,并将这类问题建模为以最小化Utility为目标的最优化问题。在讨论了几种传统的无线传感器网络(Wireless Sensor Network,WSN)路由算法之后,提出了一种适合Underlay CRSN的跨层路由算法,并给出了该算法的分布式实现方案。计算机仿真表明所提出的路由算法能很好地适应UnderlayCRSN中信道可用状态的随机变化。In underlay cognitive wireless sensor networks （Underlay CRSN）, due to random state variation of each available channel, routing algorithm design needs to consider not only the energy consumption of nodes and network lifetime enhancement, but also the reliability of the data transmission on the routing path directly impacted by channel selection strategy in each link. This paper studies the routing problem of CRSN under underlay cognitive radio model. A suitable link Utility function is proposed for the routing prob-lem. Based on the utility function, we formulate the Underlay CRSN routing problem as an optimization problem with the objective of minimizing the Utility. After discussing several routing algorithms used in traditional wireless sensor networks （WSNs）, we finally propose a cross-layer routing algorithm considering both network lifetime and channel state variation for Underlay CRSN, and present a distributed implementation for the algorithm. The computer simulation shows that the proposed routing algorithm can out-perform other traditional algorithms in adapting to the random change of channel available state in Underlay CRSN.

关 键 词：认知无线传感网络 跨层 路由算法 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]