Wireless Sensor Network (WSN) are becoming one of the demanding platforms, where sensor nodes are sensing and monitoring the physical or environmental conditions and transmit the data to the base station via multi-hop routing. Agriculture sector also adopted these networks to promote innovations for environmentally friendly farming methods, lower the management cost, and achieve scientific cultivation. This combination can improve crop yield, quality, and efficiency while saving energy and water. It is important to note that irrigation is one of the essential factors for agricultural success. In an agriculture irrigation application, a WSN is deployed in a specific area to control the irrigation in the field. But using WSN will generate massive redundancy in the data processing. So, there is lacking an efficient system for extensive sensor data processing. This research work presents an Energy-Efficient Cluster-Based Data Aggregation (E2CDA) Technique for agriculture irrigation systems in WSN. An improved probabilistic clustering method is used for preserving the optimal number of Cluster Head (CH) in each round of iteration. The proposed work is implemented in MATLAB, according to simulation results; the developed E2CDA method provides better result when compared with the existing approaches such as Low Energy Adaptive Clustering Hierarchical (LEACH) routing and centralized LEACH (LEACH-C) in terms of energy savings, network lifetime, packet delivery ratio, end-to-end delay, and packet drop ratio.

中文翻译：

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使用无线传感器网络的基于节能集群的农业灌溉管理系统数据聚合

无线传感器网络 (WSN) 正在成为要求苛刻的平台之一，其中传感器节点感测和监视物理或环境条件，并通过多跳路由将数据传输到基站。农业部门也利用这些网络来推动环保耕作方法的创新，降低管理成本，实现科学种植。这种组合可以提高作物产量、质量和效率，同时节省能源和水。值得注意的是，灌溉是农业成功的重要因素之一。在农业灌溉应用中，无线传感器网络被部署在特定区域来控制田间的灌溉。但使用WSN会在数据处理中产生大量冗余。因此，缺乏一个有效的系统来处理广泛的传感器数据。这项研究工作提出了一种用于 WSN 农业灌溉系统的节能型基于集群的数据聚合 (E2CDA) 技术。改进的概率聚类方法用于在每轮迭代中保留簇头（CH）的最佳数量。根据仿真结果，所提出的工作在MATLAB中实现；与低能耗自适应集群分层（LEACH）路由和集中式LEACH（LEACH-C）等现有方法相比，所开发的E2CDA方法在节能、网络寿命、数据包传递率、端到端方面提供了更好的结果延迟和丢包率。