BFL: a buffer based linear filtration method for data aggregation in wireless sensor networks

被引：8
作者：
Agarwal A. [1 ]
Jain K. [2 ]
Dev A. [3 ]
机构：
[1] Department of CSE, Ramanujan College, New Delhi
[2] Department of CSE, School of Computing at DIT University, Dehradun
[3] IGDTUW, Delhi
来源：
International Journal of Information Technology | 2022年 / 14卷 / 3期
关键词：
Buffer replacement; Correlations; Cosine distance; Dynamic cluster; Smart Aggregation; Wireless sensor network;
D O I：
10.1007/s41870-022-00879-z
中图分类号：
学科分类号：
摘要：
The rapid growth of the internet and advancement in both hardware and software leads to many new inventions; Wireless Sensor Network (WSN) is among them. WSN utilizes the flexibility provided by wireless communication, along with the strong sensing capabilities of sensor nodes. WSN are smart devices capable of monitoring their nearby environment and sending the data to the base station (BS) for information building. These advanced devices come with a limitation of energy. Several research papers have been published that encounter this limitation and suggest techniques to overcome it. There exist different routing mechanisms to reduce transmission costs and provide efficient solutions. However, another factor of improvement is data communication. This work proposes a Buffer-based linear filtering (BFL) method for Data Aggregation while Reducing Correlations in data that reduces data transmission to improve performance. The proposed approach aims at reducing data load by eliminating space and time correlations. The result shows that the proposed model works better than the others in terms of transmission cost reduction, energy utilization, and information accuracy. © 2022, The Author(s), under exclusive licence to Bharati Vidyapeeth's Institute of Computer Applications and Management.
引用
收藏
页码：1445 / 1454
页数：9
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