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Pivot variable location-based clustering algorithm for reducing dead nodes in wireless sensor networks

机译：基于枢轴的基于位置基于位置的聚类算法减少无线传感器网络中的死区

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摘要

The information technology has grown so rapidly that it has led to the development of compact size and inexpensive sensor nodes. Several sensor nodes together form a WSN. Though the WSN is compact in size, they can be equipped with radio transceivers, sensors, microprocessors which are embedded and sensors. One of the major critical issues with WSN is energy efficiency. With WSN, various energy-efficient techniques are being employed. Among clustering techniques, LEACH, HEED, EAMMH, TEEN, SEP, DEEC, K-means clustering algorithm are some of the most popular energy-efficient techniques which are employed. These are hierarchical based protocol which saves energy by balancing the energy expense. Detailed review and analysis of these protocols are presented, and midpoint location algorithm is proposed in this paper. The methodology used for reduction in dead nodes while transmitting the data is also discussed. In the proposed work, path construction phase (PCP) and alternative path construction phase (APCP) are created in order to reduce dead nodes. During the processes of data transmission if a node is found out that it will fail and APCP is applied, the cluster head is changed while applying the APCP. The cluster head is chosen based on midpoint location and highest node energy. The cluster head becomes permanent if the node has midpoint location and the highest energy. If the node does not have midpoint location and highest energy, it becomes a temporary cluster head. The proposed techniques are compared with EAMMH protocol and LEACH protocol using MATLAB. When compared with EAMMH, the dead nodes were reduced with subsequent rounds.
机译：信息技术已迅速增长，使其导致了紧凑尺寸和廉价的传感器节点的开发。几个传感器节点一起形成WSN。虽然WSN尺寸紧凑，但它们可以配备无线电收发器，传感器，嵌入的微处理器和传感器。 WSN的主要关键问题之一是能效。利用WSN，正在采用各种节能技术。在聚类技术中，浸出，注意，EAMMH，青少年，SEP，DEEC，K-MEARE聚类算法是一些采用的最流行的节能技术。这些是基于分层的协议，通过平衡能量费用来节省能量。提出了对这些协议的详细审查和分析，并在本文中提出了中点定位算法。还讨论了在发送数据时减少死区码的方法。在所提出的工作中，创建路径施工阶段（PCP）和替代路径施工阶段（APCP）以减少死区。在数据传输过程中，如果发现该节点将失败并且应用APCP，则在应用APCP时更改群集头。基于中点位置和最高节点能量选择簇头。如果节点具有中点位置和最高能量，则簇头变为永久性。如果节点没有中点位置和最高能量，则成为临时群集头。将所提出的技术与使用MATLAB的EAMMH协议和LEACH协议进行比较。与EAMMH相比，死区点随后的圆形减少。

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