基于多汇聚节点的大规模无线传感器网络的全局拓扑结构

S. Prabhavathi, A. Rao, A. Subramanyam
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引用次数: 2

摘要

在考虑大规模无线传感器网络(WSN)时,保证高效、快速的数据聚合技术是一项具有挑战性的任务。单个汇聚点的存在、汇聚点与集群的距离以及不同集群内要执行的动态任务的存在类型等问题是WSN可靠数据聚合技术中极难解决的问题。因此,该系统引入了一种新的WSN全局拓扑结构,保证了大规模WSN体系结构中高效的任务分配策略。通过考虑多个移动sink的存在,进一步提高了数据聚合过程的性能,为所提出的任务分配策略增加了指数级效益。在Matlab中进行的仿真结果表明,从分组传输率、时延最小化和数据聚合过程的完成时间等方面考虑,该算法具有令人满意的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Globular topology of large scale WSN for efficient load balancing using multiple sink node
Ensuring efficient and fast data aggregation technique is the challenging task when it is considered for the large-scale wireless sensor network (WSN). The problems of presence of single sink, the distance between sink and cluster, as well as type of presence of dynamic task to be performed within different cluster is extremely difficult to address for reliable data aggregation technique in WSN. Therefore, the proposed system introduces a novel globular topology of WSN that ensures an efficient task allocation strategy in large-scale WSN architecture. The performance of the data aggregation process is further increased by considering the presence of multiple mobile sink that adds an exponential benefit to the task allocation policy proposed. The results simulated in Matlab shows satisfactory performance by considering the packet delivery ratio, delay minimization, and completion time of the data aggregation process.
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