Design and implementation of flood detector using wireless sensor network with mamdani's fuzzy logic method

A. Pratama, R. Munadi, Ratna Mayasari
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引用次数: 4

Abstract

In this paper, we build the prototype system using Wireless Sensor Network (WSN) for flood detector for flooding area. In a flooding area, power consumption and reliability of network become an important thing. Therefore, the performance of devices and algorithm of this system must work properly. The system is created using Fuzzy Logic to calculate the output, in order to make the system work properly. With Zigbee technology, WSN can be useful for monitoring a small area with many nodes. WSN can be combined with another application, e.g. cloud, android, virtual private network, etc. The objective of this paper is to design flood detector system with WSN on two scenarios that are single hop and multi hop, then find two of these which the best. Single hop means no router node between coordinator node and end node and multi hop means there is router node between coordinator node and end node. After some test, this system has a maximum range in single hop at a distance of 95.1 meters and 185.5 meters when using multi hop's scenario. Error for fuzzy logic compare between manual calculation and prototype system is 3.04417493% and error overall system for its result is 5%. In the examination of the quality of the network, values of throughput obtained fairly stable but the result of delay values is unstable, the further the distance the higher the values of delay, on the contrary values of throughput getting lower. The power consumption is only 0.083 Watt/hour when the system in single hop and 0.06525 Watt/hour when the system in multi hop.
基于mamdani模糊逻辑的无线传感器网络洪水探测器的设计与实现
本文利用无线传感器网络(WSN)构建了用于洪涝地区洪水探测器的原型系统。在洪水地区,电网的功耗和可靠性成为一个重要的问题。因此,该系统的设备性能和算法必须正常工作。为了使系统正常工作,采用模糊逻辑对输出进行计算。利用Zigbee技术,无线传感器网络可以用于监控具有许多节点的小区域。WSN可以与其他应用相结合,例如云、android、虚拟专用网等。本文的目标是在单跳和多跳两种场景下设计基于WSN的洪水探测系统,并从中找出两种最优方案。单跳是指协调节点和结束节点之间没有路由器节点,多跳是指协调节点和结束节点之间有路由器节点。经过测试,该系统在使用多跳场景时,最大单跳距离为95.1米,最大单跳距离为185.5米。人工计算与原型系统的模糊逻辑比较误差为3.04417493%,总体误差为5%。在对网络质量的检测中,得到的吞吐量值相当稳定,但时延值的结果却不稳定,距离越远,时延值越高,而吞吐量值则越低。系统单跳时功耗仅为0.083瓦特/小时,多跳时功耗仅为0.06525瓦特/小时。
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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