tailieunhanh - Survey on applications and challenges of wireless sensor network in industries

The aim of this paper is to analyze the possibilities of applying WSN technology in industrial platforms from the use of simple detector; complex analyzers to latest MEMS (Micro Electro Mechanical System) based system, machine vision system with their advantages and implementation challenges. | ISSN:2249-5789 Velmani et al , International Journal of Computer Science & Communication Networks,Vol 4(2),41-45 Survey on Applications and Challenges of Wireless Sensor Network in Industries , Assistant Professor in Computer Science, The College, Tirunelveli, Tamilnadu. Abstract Recent advancement in wireless communications and electronics has enabled the development of Wireless Sensor Network (WSN). These networks promise to revolutionize sensing in a wide range of application domains. One of them is industrial automation, which is necessary for competing globally. Industrial automation from component assemblies to data integrated manufacturing execution systems are available to achieve greater precision, improves quality and enhances control over the whole process. Another one is industrial and environmental safety. The aim of this paper is to analyze the possibilities of applying WSN technology in industrial platforms from the use of simple detector; complex analyzers to latest MEMS (Micro Electro Mechanical System) based system, machine vision system with their advantages and implementation challenges. resources, and take positive action towards preventing any forms of pollution to the environment. In this paper, WSN application in industrial area is viewed in two directions namely, intelligent industrial management and secure industrial management. 2. Industrial Sensor and Sensor Network A sensor should be selected depending on the application in mind. Sensors are of two types. Some sensors simply detect the presence of a stimulus (Fig 1). These are called detectors. A sound sensor that detects the presence of a sound. Other sensors can actually discern relative values of a stimulus. These are called analyzers that can do qualitative and quantitative analysis of measuring element. A sound sensor that detects the number of decibels in a sound. 1. Introduction Although computer-based instrumentation .

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