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A Novel Clustering Ant-Based QoS-aware Routing Algorithm in Large Scale Wireless Multimedia Sensor Networks

机译:大规模无线多媒体传感器网络中一种基于聚类蚂蚁的新型QoS感知路由算法

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摘要

QoS-aware routing algorithm is important in wireless multimedia sensor networks. This paper formulates a generalized QoS-aware routing model on the basis of multiple routing metrics and priorities of packets. It first introduces a 2D plain-based routing algorithm IPACR which improves the standard ant colony algorithm by optimizing the initial distribution of artificial pheromone in order to accelerate the algorithm convergence rate. Then it presents a clustering-based routing algorithm ICACR which can be well applied in a large scale network. Both the numerical algorithm performance analysis and simulation of IPACR and ICACR are given. The results show that ICACR outperforms IPACR in terms of both network lifetime and QoS-aware routing metrics in large scale wireless multimedia sensor networks. Moreover, the simulation based on the real video traces shows that the extension of the multi-path to ICACR for different priorities of video frames can achieve better performance.
机译:QoS感知路由算法在无线多媒体传感器网络中很重要。本文基于多种路由度量和数据包优先级,制定了一种通用的QoS感知路由模型。首先介绍了基于二维平原的路由算法IPACR,该算法通过优化人工信息素的初始分布来改进标准蚁群算法,以加快算法的收敛速度。然后提出了一种基于聚类的路由算法ICACR,可以很好地应用于大规模网络。给出了IPACR和ICACR的数值算法性能分析和仿真。结果表明,在大型无线多媒体传感器网络中,ICACR在网络寿命和QoS感知路由指标方面均优于IPACR。此外,基于真实视频轨迹的仿真表明,针对视频帧的不同优先级将多路径扩展到ICACR可以实现更好的性能。

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