摘要
针对无线多媒体传感器网络中的数据拥塞问题,提出了一种基于指数加权优先级速率控制(EWPBRC)的模糊逻辑控制器。首先,根据节点功能建立传感器节点流量类,并生成随机数据;然后,根据传输路径将数据发送至汇聚节点;最后,利用EWPBRC调整流量负载参数,为每个节点分配一个合适的传输速率,从而缓解数据拥塞问题,并减少延迟和丢包率。利用NS2进行仿真实验验证了该方案的有效性,仿真结果表明,该方案优化了节点的传输速率,明显提高了服务质量,相比PBRC拥有更好的性能。
For the problem of data congestion in wireless multimedia sensor networks, this paper proposed a fuzzy logic con- troller based on exponential weighted priority-based rate control （EWPBRC）. Firstly, it established the sensor node traffic classes and generated random data by node function. Then, it sent data to sink node. Finally, this paper used EWPBRC to ad- just the traffic load parameters iteratively to assign an appropriate transmission rate to each node. Thereby the scheme not only alleviates data congestion problems, but also can reduce latency and packet loss rate. In order to verify the effectiveness of the proposed scheme, it used NS2 to simulate the program. Simulation results show that proposed scheme optimizes the transmis- sion rate of node and improves the quality of service, which also has a better performance than the PBRC.
出处
《计算机应用研究》
CSCD
北大核心
2015年第9期2789-2793,2797,共6页
Application Research of Computers
基金
河南省软科学研究项目(142400411030)
河南省高等学校重点科研资助项目(15A520115)
关键词
无线多媒体传感器网络
指数加权
优先级速率控制
模糊逻辑控制器
流量负载
wireless multimedia sensor networks
exponential weighted
priority-based rate control
fuzzy logic controller
traffic load
