基于随机树的无线传感器网络备用路由智能拥塞控制

IF 1 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS
P. Suman Prakash, D. Kavitha, P. Chenna Reddy
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引用次数: 1

摘要

在无线传感器网络(WSNs)中,拥塞是一个具有挑战性的问题,它在丢包、能量浪费和吞吐量等方面降低了效率。造成wsn拥塞的主要原因是多对一模式的数据路由。这意味着多个节点可以使用多跳传输将数据发送到单个接收器。为了控制无线传感器网络中的拥塞,我们使用了一种基于快速探索随机树(RRT)的机制来转移拥塞节点上的数据包。首先,我们使用数学模型来确定wsn中的拥塞节点。此外,我们使用RRT算法识别路由路径,该算法可以构建动态路由,同时避免路由路径中的拥塞节点。我们使用模拟运行来估计我们的方法的效率,并使用最近发表的算法比较结果。我们注意到我们方法的性能得到了改进。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A rapidly-exploring random tree-based intelligent congestion control through an alternate routing for WSNs
In wireless sensor networks (WSNs), congestion is a challenging issue, and it degrades the efficiency in terms of packet loss, energy wastage, throughput, etc. The primary cause of the congestion in WSNs is the data routing of the many-to-one pattern. It means multiple nodes can send their data to a single sink using multi-hop transmissions. To control the congestion in WSN, we use a rapidly-exploring random tree (RRT)-based mechanism to divert the data packets from the congested nodes. Initially, we use a mathematical model to determine the congested nodes in the WSNs. Further, we identify the routing path using the RRT algorithm in which the algorithm can construct a dynamic routing while avoiding the congested nodes in the routing path. We estimate the efficiency of our approach using simulation runs and compare the results using the recently published algorithm. We notice the improved performance in our method.
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来源期刊
CiteScore
2.50
自引率
46.20%
发文量
57
期刊介绍: IJCNDS aims to improve the state-of-the-art of worldwide research in communication networks and distributed systems and to address the various methodologies, tools, techniques, algorithms and results. It is not limited to networking issues in telecommunications; network problems in other application domains such as biological networks, social networks, and chemical networks will also be considered. This feature helps in promoting interdisciplinary research in these areas.
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