无线传感器网络中基于贝叶斯可变频的CSMA/CA算法研究

Research on Bayes Variable Frequency CSMA/CA Algorithm in Wireless Sensor Networks

针对于在无线传感器网络中多个节点向Sink节点发送数据包造成的延时、丢包、碰撞检测、网络阻塞等问题,在802.15.4协议CSMA/CA算法的基础上提出了一种基于贝叶斯可变频的CSMA/CA算法(BVF-CSMA/CA)。该算法将贝叶斯估值得到的参数区间与CSMA/CA的碰撞检测机制相结合,使传感器节点发送的多数据包能正常与Sink节点实时通讯,采用这种算法减少了碰撞检测、节约了能耗、降低了网络通讯量、延长了网络的生命周期。本文通过使用NS2仿真工具模拟验证了该无线传感器网络的丢包率和能耗,实验结果表明,改进后的算法显著改善了这两个性能指标。

In the process of transmitting data packets from more than one node to the Sink node, there are many problems in wireless sensor networks,such as,packet delay,packet loss,collision detection,network congestion and so on. This paper proposes a new Bayes variable frequency CSMA/CA algorithm（ BVF-CSMA/CA） that is based on the 802.15.4 protocol of CSMA/CA algorithm. This algorithm combines the Bayes interval estimation and collision detection mechanism of CSMA/CA so as to realize the real-time transmission of each node sent by data packets to the Sink node. Thereby it reduces the collision detection,saves energy,reduces the network traffic and prolongs the network life cycle. This paper verifies the packet loss rate and energy consumption by using the NS2 simulation tool and the experimental results show that the improved algorithm has significantly improved the two performance parameters.