EECH - HEED是一种用于异构无线传感器网络中高效节能土壤监测的自适应混合聚类协议。

IF 3.9 2区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES
Shinder Kaur, Satveer Kour, Manjit Singh
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引用次数: 0

摘要

无线传感器网络(WSNs)在精准农业中发挥着关键作用,特别是在土壤健康实时监测方面。然而,传感器节点有限的能量容量对延长网络寿命和实现数据一致传输提出了重大挑战。现有的集群协议经常面临效率低下的簇头选择、对异构环境的有限适应性以及过多的控制开销等问题。为了解决这些问题,本文提出了一种用于异构WSNs土壤监测的混合节能聚类模型EECH-HEED。提出的协议采用双区域架构:区域1位于基站附近,实现基于heed的CH选择机制,该机制考虑了能量感知集群的剩余能量和通信成本。区域2距离基站较远,采用增强的基于eech的分层多跳聚类策略,利用剩余能量和节点度选择主、次CHs。与基于阈值的混合聚类方法不同,eech - heed引入了一种基于动态阈值的感知机制,尽管它减少了冗余传输,但它依赖于静态阈值。在这里,硬阈值和软阈值会根据环境变化速率和节点能量水平不断实时调整。这种自适应策略显著降低了能耗,延长了传感器节点的使用寿命。基于真实农业场景,该模型在异构WSN设置上使用MATLAB模拟进行了超过5000轮的严格测试。性能基准测试包括LEACH、HEED、EECH、TCO、FPA、MIMO-HC、HTCCR、EEHP和HCRT模型。EECH-HEED在多个性能指标上都有显著的改进——总能耗(TEC)降低了33%,包传输率(PDR)提高了15%,控制开销降低了近50%。在模拟结束时,它还记录了最低的端到端延迟(190毫秒)和最高的活动节点数。EECH-HEED具有基于区域的设计,自适应阈值和分层能量感知聚类,为可持续土壤健康监测提供了可扩展和低开销的解决方案。未来的工作包括与基于无人机的数据收集系统和物联网平台集成,以支持智能农业基础设施。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
EECH HEED an adaptive hybrid clustering protocol for energy efficient soil monitoring in heterogeneous wireless sensor networks.

Wireless Sensor Networks (WSNs) play a pivotal role in precision agriculture, especially for real-time soil health monitoring. However, the limited energy capacity of sensor nodes poses a significant challenge to achieving prolonged network lifetime and consistent data transmission. Existing clustering protocols often struggle with inefficient cluster head (CH) selection, limited adaptability to heterogeneous environments, and excessive control overhead. To address these issues, this paper proposes EECH-HEED, a hybrid and energy-efficient clustering model designed for soil monitoring in heterogeneous WSNs. The proposed protocol utilizes a dual-zone architecture: Zone 1, located near the base station, implements a HEED-based CH selection mechanism that considers both residual energy and communication cost for energy-aware clustering. Zone 2, positioned farther from the base station, employs an enhanced EECH-based hierarchical multi-hop clustering strategy, using residual energy and node degree to select primary and secondary CHs. Unlike the threshold-based hybrid clustering approach which, despite reducing redundant transmissions, relies on static thresholds-EECH-HEED introduces a dynamic threshold-based sensing mechanism. Here, hard and soft thresholds are continuously adjusted in real-time based on environmental change rates and node energy levels. This adaptive strategy significantly reduces energy consumption and extends the operational lifespan of sensor nodes. The model was rigorously tested using MATLAB simulations over 5000 rounds on a heterogeneous WSN setup inspired by real agricultural scenarios. Performance was benchmarked against leading protocols including LEACH, HEED, EECH, TCO, FPA, MIMO-HC, HTCCR, EEHP, and the HCRT model. EECH-HEED demonstrated marked improvements across multiple performance metrics-achieving a 33% reduction in Total Energy Consumption (TEC), a 15% increase in Packet Delivery Ratio (PDR), and a nearly 50% reduction in control overhead. It also recorded the lowest End-to-End Delay (190 ms) and the highest number of alive nodes by the end of the simulation. With its zone-based design, adaptive thresholding, and hierarchical energy-aware clustering, EECH-HEED presents a scalable and low-overhead solution for sustainable soil health monitoring. Future work includes its integration with UAV-based data collection systems and IoT platforms to support intelligent farming infrastructures.

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来源期刊
Scientific Reports
Scientific Reports Natural Science Disciplines-
CiteScore
7.50
自引率
4.30%
发文量
19567
审稿时长
3.9 months
期刊介绍: We publish original research from all areas of the natural sciences, psychology, medicine and engineering. You can learn more about what we publish by browsing our specific scientific subject areas below or explore Scientific Reports by browsing all articles and collections. Scientific Reports has a 2-year impact factor: 4.380 (2021), and is the 6th most-cited journal in the world, with more than 540,000 citations in 2020 (Clarivate Analytics, 2021). •Engineering Engineering covers all aspects of engineering, technology, and applied science. It plays a crucial role in the development of technologies to address some of the world''s biggest challenges, helping to save lives and improve the way we live. •Physical sciences Physical sciences are those academic disciplines that aim to uncover the underlying laws of nature — often written in the language of mathematics. It is a collective term for areas of study including astronomy, chemistry, materials science and physics. •Earth and environmental sciences Earth and environmental sciences cover all aspects of Earth and planetary science and broadly encompass solid Earth processes, surface and atmospheric dynamics, Earth system history, climate and climate change, marine and freshwater systems, and ecology. It also considers the interactions between humans and these systems. •Biological sciences Biological sciences encompass all the divisions of natural sciences examining various aspects of vital processes. The concept includes anatomy, physiology, cell biology, biochemistry and biophysics, and covers all organisms from microorganisms, animals to plants. •Health sciences The health sciences study health, disease and healthcare. This field of study aims to develop knowledge, interventions and technology for use in healthcare to improve the treatment of patients.
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