A Mobile Fuzzy Sink Scheme for Wireless Sensor Network Period Improvement

Wasswa Shafik, S. Matinkhah, M. Ghasemzadeh
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引用次数: 4

Abstract

Wireless Sensor Networks (WSN s) is considered to be a promising research area since it entails sensing capabilities. WSN s are confronted by fabricated explosion injection attacks and in return results into draining of vitality on sensor nodes routing mainly because of increased capabilities in a broad range of applications where sensor nodes use a battery as the power source. In this paper, we reveal and claim a state-of-the-art model to minimize vitality depletion of nodes within the network in return increases network period to more realistic stretch. It is revealed that the main cause is vitality consumption unbalances in different parts of the network direct resulting from having a static sink. More still, the network nodes neighboring the sink insistently partake in progressing data of other nodes to the sink. Consequently, the network nodes are supplementarily subjected to untimely vitality exhaustion. This paper mainly provides a novel movable (mobile) fuzzy logic sink approach and an intelligent system like expect systems that be able to scrutinize network situation, and make the superlative choice for spreading the network period robotically.
一种用于无线传感器网络周期改进的移动模糊Sink方案
无线传感器网络(WSN)被认为是一个有前途的研究领域,因为它需要传感能力。WSN面临着捏造的爆炸注入攻击,反过来导致传感器节点路由上的活力耗尽,这主要是因为在传感器节点使用电池作为电源的广泛应用中功能的增加。在本文中,我们揭示并声称了一个最先进的模型,以最大限度地减少网络中节点的活力消耗,从而将网络周期增加到更现实的延伸。结果表明,造成这种情况的主要原因是由于静态sink的存在直接导致网络不同部分的活力消耗不平衡。更重要的是,与接收器相邻的网络节点持续参与将其他节点的数据发送到接收器。因此,网络节点的活力也会被过早地耗尽。本文主要提出了一种新颖的可移动模糊逻辑汇方法和一种类似于期望系统的智能系统,能够对网络状况进行实时监测,从而为机器人扩展网络周期做出最佳选择。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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