Approach to power prediction in WSN using propagation models: Practical analysis applied in water reservoirs

T. Bezerra, Jose Anderson Rodrigues de Souza, Saulo Aislan da Silva Eleuterio, J. S. Rocha
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引用次数: 1

Abstract

Wireless Sensor Networks (WSN) are already trend in many applications, environmental modeling in this network is of fundamental importance to maintain communication between modules always in acceptable power transmission and reception levels. Faced with this challenge the aim of this work is to conduct a study on the propagation of radio frequency signals in WSN applied in an environment used as water reservoir, this analysis will be done by comparing the real values Received Signal Strength Indicator (RSSI) with the estimates proposed by some of the most used power prediction models for WSN, thus achieving the best modeling of the proposed environment and thus determine which power prediction model more suitable for the application.
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基于传播模型的无线传感器网络功率预测方法:应用于水库的实际分析
无线传感器网络(WSN)在许多应用中已经成为趋势,该网络中的环境建模对于保持模块之间的通信始终处于可接受的功率传输和接收水平至关重要。面对这个挑战这项工作的目的是进行研究射频信号传播的WSN应用作为水库的环境中,这种分析将通过比较实际完成值估计接收信号强度指示(RSSI)提出的一些最功率预测模型用于传感器网络,从而实现最好的建模提出了环境,从而确定哪些功率预测模型更适合于应用程序。
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Approach to power prediction in WSN using propagation models: Practical analysis applied in water reservoirs
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