Evaluating a Transmission Power Self-Optimization Technique for WSN in EMI Environments

2010 13th Euromicro Conference on Digital System Design: Architectures, Methods and Tools Pub Date : 2010-09-01 DOI:10.1109/DSD.2010.116

F. Lavratti, A. R. Pinto, L. Bolzani, Fabian Vargas, C. Montez, F. Hernandez, E. Gatti, C. Silva

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引用次数: 8

Abstract

Wireless Sensor Networks (WSNs) can be used to monitor hazardous and inaccessible areas. The WSN is composed of several nodes each provided with its separated power supply, e.g. battery. Working in hardly accessible places it is preferable to assure the adoption of the minimum transmission power in order to prolong as much as possible the WSN’’s lifetime. Though, we have to keep in mind that the reliability of the data transmitted represents a crucial requirement. Therefore, power optimization and reliability have become the most important concerns when dealing with modern systems based on WSN. In this context, we propose to evaluate the effectiveness of a Transmission Power Self-Optimization (TPSO) technique for WSNs in an Electromagnetic Interference (EMI) Environment. The TPSO technique consists of an algorithm able to guarantee an equally high Quality of Service (QoS), concentrating on the WSN’’s Efficiency (Ef), while optimizing the transmission power necessary for data communication. Thus, the main idea behind our approach is to reach a trade-off between Ef and energy consumption in an environment with inherent noise.

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电磁干扰环境下WSN传输功率自优化技术评估

无线传感器网络(WSNs)可用于监测危险和难以进入的区域。无线传感器网络由多个节点组成，每个节点都提供独立的电源，例如电池。在难以接近的环境中，为了尽可能延长无线传感器网络的使用寿命，最好保证采用最小的传输功率。但是，我们必须记住，传输数据的可靠性是一个至关重要的要求。因此，在处理基于无线传感器网络的现代系统时，功率优化和可靠性已成为最重要的问题。在此背景下，我们提出评估在电磁干扰(EMI)环境下无线传感器网络的传输功率自优化(TPSO)技术的有效性。TPSO技术包括一种能够保证同样高的服务质量(QoS)的算法，专注于WSN的效率(Ef)，同时优化数据通信所需的传输功率。因此，我们的方法背后的主要思想是在具有固有噪声的环境中达到Ef和能源消耗之间的权衡。

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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2010 13th Euromicro Conference on Digital System Design: Architectures, Methods and Tools

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