Wireless sensor networks (WSN) consists of dedicated sensors, which monitor and record various physical and environmental conditions like temperature, pollution levels, humidity etc. WSN is compatible with several applications related to environmental and healthcare monitoring. The sensor nodes have a limited battery life and are deployed in hostile environments. Recharging or replacement of the batteries in the sensor nodes are very difficult after deployment in inaccessible areas where energy is an important factor for continuous network operation. Energy efficiency is a major concern in the wireless sensor networks as it is important for maintaining network operation. In this paper, an energy efficient clustering algorithm based energy centroid and energy threshold has been proposed for wireless sensor networks. Here each cluster is designed to own 25% of the sensor nodes using distance centroid algorithm. Cluster head selection is based on the energy centroid of each cluster and energy threshold of the sensor nodes. Communication between the sink node and cluster head uses distance of separation as a parameter for reducing the energy consumption. The result obtained shows an average increase of 53% in energy conservation and network lifetime compared to Leach-B, Park Approach, EECPK-means Approach and MPST Approach.

中文翻译：

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提高无线传感器网络网络寿命的能量质心聚类算法

无线传感器网络 (WSN) 由专用传感器组成，可监控和记录各种物理和环境条件，如温度、污染水平、湿度等。 WSN 与多个与环境和医疗监测相关的应用程序兼容。传感器节点的电池寿命有限，并且部署在恶劣的环境中。在能源是网络连续运行的重要因素的人迹罕至的地区部署后，传感器节点中的电池充电或更换非常困难。能源效率是无线传感器网络中的一个主要问题，因为它对于维持网络运行很重要。本文针对无线传感器网络提出了一种基于能量质心和能量阈值的节能聚类算法。这里每个集群被设计为使用距离质心算法拥有 25% 的传感器节点。簇头选择基于每个簇的能量质心和传感器节点的能量阈值。汇聚节点和簇头之间的通信使用分离距离作为降低能耗的参数。获得的结果表明，与 Leach-B、Park Approach、EEPCK-means Approach 和 MPST Approach 相比，节能和网络寿命平均增加了 53%。