基于随机的无线传感器网络数据传输功耗分析

Q2 Engineering
M. Nguyen, Hien M. Nguyen, Antonino Masaracchia, Cuong V. Nguyen
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引用次数: 13

摘要

无线传感器网络(WSNs)提供了许多新兴的应用。它们受到一些限制,例如能源限制和执行传感或数据路由所必需的合作要求。由于所有传感器都随机部署在需要观察的传感区域,无需电池充电或远程控制,因此如果对网络进行良好的功耗管理,则可以更有效地利用网络。在这项工作中,我们提出了一些基于随机的方法来计算这种网络的总功耗。本文建立了具有不同传感区域类型、圆形和方形的常见任意网络模型,并基于统计问题对数据传输功耗进行了分析和计算。常用的数据收集方法有基于聚类的、基于树的、基于邻域的和随机路由的。在每种方法中,都制定了总功耗,然后进行了仿真验证。本文表明,所有的公式不仅可以应用于无线传感器网络,而且可以应用于移动传感器网络(msn),而移动传感器被认为是在随机位置移动的。2019年6月5日收到;2019年6月12日接受;发布于2019年6月13日
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Stochastic-Based Power Consumption Analysis for Data Transmission in Wireless Sensor Networks
Wireless sensor networks (WSNs) provide a lot of emerging applications. They suffer from some limitations such as energy constraints and cooperative demands essential to perform sensing or data routing. The networks could be exploited more effectively if they are well managed with power consumption since all sensors are randomly deployed in sensing areas needed to be observed without battery recharge or remote control. In this work, we proposed some stochastic-based methods to calculate total power consumption for such networks. We model common arbitrary networks with different types of sensing areas, circular and square shapes, then analyze and calculate the power consumption for data transmission based on statistic problems. Almost common data collection methods are employed such as cluster-based, tree-based, neighborhood based and random routing. In each method, the total power consumption is formulated and then simulated to be verified. This paper shows promise that all the formulas could be applied not only on WSNs but also mobile sensor networks (MSNs) while the mobile sensors are considered moving at random positions. Received on 05 June 2019; accepted on 12 June 2019; published on 13 June 2019
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来源期刊
CiteScore
4.00
自引率
0.00%
发文量
15
审稿时长
10 weeks
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