Enhanced clustering ant colony routing algorithm based on swarm intelligence in wireless sensor network

Ankit Verma, P. C. Vashist
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引用次数: 7

Abstract

Major issues in wireless sensor networks are performance enhancement and optimize QoS parameters. Paper proposes a novel QoS Algorithm for optimum path routing with routing matrices. Most renowned Dijkstra's algorithm focuses on shortest path but less efficient in congested network. Afterwards, improved ant colony routing algorithm IPACR enhance coverage rate by finding optimum alternate path routing. Cluster-based ant colony routing algorithm ICACR introduced as simplified version and outperform IPACR by lifetime of network, but not efficient when Sink node is close to Source node. Enhanced cluster based algorithm ECACR is proposed in this paper, as enhancement in ICACR in terms of fast PD ratio through sensor nodes and less congested shortest path in wireless networks.
无线传感器网络中基于群体智能的增强聚类蚁群路由算法
无线传感器网络的主要问题是性能增强和QoS参数优化。提出了一种基于路由矩阵的最优路径路由QoS算法。最著名的Dijkstra算法侧重于最短路径,但在拥塞网络中效率较低。然后,改进蚁群路由算法IPACR通过寻找最优备选路径路由来提高覆盖率。简化版的蚁群路由算法ICACR在网络生存期上优于IPACR,但在汇聚节点靠近源节点时效率不高。本文提出了一种增强的基于聚类的算法ECACR,它在无线网络中通过传感器节点实现快速PD比和更少拥塞最短路径方面对ICACR进行了改进。
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