基于高效FCM和CAT群优化的WSN数据采集

R. N. Sree, A. Ananth, L. Reddy
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引用次数: 1

摘要

从传感器节点(SN)收集信息用于向汇聚节点传输数据称为数据聚合。在数据聚合中,最近的节点将接收向汇聚发送信息的节点的信息。从现在开始,由于信息的丢失,汇将发生过载和能量损失。本文采用基于模糊c均值(FCM)的方法进行交会点选择。现在主要的意图是基于权重传输节点/点。在这里,选择RP权值最大的节点进行传输。优异的RP被用来保存能量。最后,利用CAT群优化算法(CSO)对移动sink进行路径优化选择。在NS2工作平台上实现了所提出的方法,并使用网络寿命、延迟和交付率指标对结果进行了评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Energy Efficient FCM and CAT Swarm Optimization based Data Gathering in WSN
The collection of information from sensor nodes (SN) used for transmitting the data towards the sink node is said to be data aggregation. In data aggregation the nearest node will receives the information about the nodes which send information to the sink. From now, the sink overloaded and energy loss will occur because of loss of information. In this paper Fuzzy C-Means (FCM) based technique is used for selecting the rendezvous points (RP). Now the main intention is to transmit the nodes/points based on the weightage. Here, the nodes with uppermost weight of RP is selected and transmitted. The outstanding RP were utilized by preserving energy. Finally, CAT swarm optimization (CSO) is used for optimal path selection of mobile sink. The proposed methodology is implemented in the working platform of NS2 and the results were evaluated by using Network lifetime, delay and delivery ratio metrics.
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