基于模糊遗传算法的无线传感器网络控制系统

Proceedings of the First International Conference on Computing, Communication and Control System, I3CAC 2021, 7-8 June 2021, Bharath University, Chennai, India Pub Date : 1900-01-01 DOI:10.4108/EAI.7-6-2021.2308634

S. Saravana, Dr. S. Arulselvi

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引用次数: 2

摘要

。为此，提出了一种可移动的无线传感器网络基站进度控制装置。该系统在选择关联头后，将填充目标焦点收集、蓬松包头倾向和填充原因控制(FLC)结合起来，根据头的包裹性和活力，基站按照预先设定的正方形、三角形、圆形或六边形的形式前进。在FLC的引导下，运动的方式和速度受到限制。此外，利用分子群改进(PSO)算法对关联比例、路径形状和校验、基站速度矢量的丰富度和航向进行了理想的验证。对于具有不可预测的焦点传递的WSN，所提出的理念在数字上进行了重新处理。

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A Fuzzy-GA Based controlling System for Wireless sensor networks

. In this endeavor, a transportable base station progression control gadget for WSNs is proposed. This system joins padded objective focus gathering, fluffy pack head tendency, and padded reason control (FLC) of the base station headways in the wake of choosing affiliation heads, as per the parcel and vitality of the heads, the base station proceeds ahead a predefined square, triangle, circle, or hexagon formed way. Way and speed of the progressions are restricted with the guide of FLC. Additionally, a molecule swarm improvement (PSO) figuring is trapped to ideally certify the proportion of associations, way shape and check, and the base station's speed vector plentifulness and heading. The proposed philosophy is numerically rehashed for a WSN with unpredictably passed on focuses.

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Proceedings of the First International Conference on Computing, Communication and Control System, I3CAC 2021, 7-8 June 2021, Bharath University, Chennai, India

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