基于模糊推理系统的人工智能节能DCH无线传感器网络

Kundan Kumar Kaushik, Neetesh Kumar Gupta
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引用次数: 1

摘要

提出并实现了一种基于人工集群的改进型安全制导系统,以限制遥感系统的活力利用率,提高系统的框架寿命。为此,提出了三种基于群的转向策略、半进阶和半进阶的转向算法以及一种基于信任的安全转向算法。在以群体为基础的指导中,蓬松的理论基础被用于照顾基本领导在群体发展方面的脆弱性。这些程序和计算在系统中成功地完成了传输。该框架的主要特点是降低了生命力利用率,有效地延长了框架的生命周期。这些分组系统用于构建系统中的组,这有助于有效地利用生命力,从而延长框架的生命周期。在本工作中,作为对现有工作的升级,在束束扫描计算中额外考虑了轮毂的水平。这种利用蓬松原理的不一致聚束的建议工作的重要余地在于,它通过减少问题区域问题的期限来扩展框架的生命周期。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Artificial Intelligence based Energy Efficient DCH based WSN using Fuzzy Inference System
A artificial cluster based improved secure directing system has been proposed and actualized to limit the vitality utilization and increment the framework lifetime of remote sensor systems. For this reason, three bunch based steering strategies, a half and half advancement procedure for steering and a trust based secure directing calculation have been proposed. In the bunch based steering, fluffy rationale has been used for taking care of vulnerability in basic leadership regarding group development. These procedures and calculations play out the transmission successfully in the system. The principle bit of leeway of this framework is that it decreases the vitality utilization and expands the framework lifetime effectively. These grouping systems are utilized to frame the groups in the system which assists with using the vitality effectively that thusly drags out the framework lifetime. In this work, the level of the hub has additionally been considered for the calculation of bunch sweep as an upgrade of the current work. The significant bit of leeway of this proposed work on inconsistent bunching utilizing fluffy rationale is that it expands the framework lifetime by decreasing the term of problem area issue.
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