各种无线传感器网络技术的能耗对比分析

Suresh Vellaiyan, Vijayarani N
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引用次数: 0

摘要

本研究的目的是分析与无线传感器网络中使用的现代方法相关的能耗,并与里德-所罗门(RS)代码进行比较评估。本文介绍了三种用于无线传感器网络的离散技术。提到的策略包括自演进传感器系统(SESS)、利用多路径路由协议的安全和自适应密钥管理(SAKM-MRP)以及国家仪器公司基于参考的安全数据聚合(NI-SRDA)。每种方法都开发了不同的算法,以检查能源使用情况。实验结果表明,与 SESS 方法相比,RS-代码方法的能耗要高得多,而 SESS 方法的能耗要低得多。在比较 RS-codes 和 SESS 方法的效率时,可以发现 SAKN-MRP 技术的能耗下降更为明显。与 RS-Codes 系统相比,SESS 方案在最大传送节点上的能耗显著降低了 45.5%。同样,SAKM-MRP 方案的能耗平均降低了 35.7%。值得注意的是,NI-SRDA 方案实现了令人印象深刻的 60% 的能耗降低,凸显了其对能效的显著影响。从广义上讲,与当前研究中提出的其他策略相比,NI-SDRA 技术有望成为无线传感器网络的节能解决方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Comparative Analysis of Energy Consumption in Various Wireless Sensor Network Techniques
The objective of this study is to analyze the energy consumption associated with modern methodologies utilized in wireless sensor networks and to conduct a comparative assessment with Reed Solomon (RS) codes. This paper presents three discrete techniques for wireless sensor networks. The strategies mentioned include the Self-Evolving Sensor System (SESS), the Secure and Adaptive Key Management utilizing Multipath Routing Protocol (SAKM-MRP), and the National Instruments Secure Reference-based Data Aggregation (NI-SRDA). A distinct algorithm was developed for each method to examine the energy use. Based on the experimental results, it has been shown that the RS-codes approach consumes a considerably greater quantity of energy compared to the SESS methods, which, in contrast, exhibit a significantly lower energy consumption. When comparing the efficiency of RS-codes and SESS methods, it is observed that the SAKN-MRP technique exhibits a more significant decrease in energy consumption. Compared to the RS-Codes system, the SESS scheme stands out with a significant 45.5% reduction in energy usage at the maximum delivery node. Similarly, the SAKM-MRP scheme showcases an average decrease of 35.7% in energy consumption. Notably, the NI-SRDA scheme achieves an impressive 60% reduction in energy consumption, underscoring its remarkable impact on energy efficiency. In a broader sense, it can be inferred that the NI-SDRA technique holds promise as an energy-efficient solution for wireless sensor networks in comparison to alternative strategies suggested in the current study.
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