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Wireless Sensor Deployment Scheme for Cost-Effective Smart Farming Using the ABC-TEEM Algorithm

Evolving Systems(2023)SCI 4区

Zhongkai University of Agriculture and Engineering

Cited 8|Views4
Abstract
The cost of the agricultural sensors is one of the significant issues in smart farming economics. A minimal number of wireless sensor nodes have to be deployed in a field for smart farming without sacrificing coverage area to reduce the cost. Further reduction of cost, the lifetime of the sensor nodes has to be increased by using an energy-efficient algorithm or some other techniques. Accordingly, an appropriate node deployment scheme combined with an energy-efficient routing algorithm can reduce the complexity of problems, such as routing, network communication, and data aggregation by minimising the number of sensors needed in an agricultural field. The multiple-input multiple-output technique is used to enhance the data rate of sensors by reducing fading effects and interference. A trusty worthy model is also considered here to secure the routing protocol by isolating the malicious nodes. This paper investigates various deployment schemes to reduce the number of sensors used in an agricultural field and improve the lifetime of the sensor nodes by utilising a bioinspired energy-efficient protocol. Specifically, an artificial bee colony-based energy-efficient multiple-input multiple-output routing protocol with a trust model is considered with various deployment schemes for smart agriculture. The simulation results reveal that the proposed method reduces the investment cost on sensors by minimising the sensors used and enhancing the sensors' lifetime.
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Key words
WSN,Trustworthy,Energy efficiency,MIMO,Deployment
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Chat Paper

要点】:本文提出了一种基于人工蜜蜂群体算法(ABC-TEEM)的无线传感器部署方案,通过减少传感器数量和提升节点寿命,有效降低了智能农业的成本。

方法】:利用人工蜜蜂群体算法结合多输入多输出(MIMO)技术,以及信任模型,优化了无线传感器在网络通信、数据聚合等方面的效率。

实验】:通过模拟实验,使用不同部署方案,证明了所提方法在减少传感器数量和延长节点寿命方面的有效性。具体数据集名称未提及,但实验结果表明该方法降低了传感器投资成本。