Top PDF Monitoring the plant growth Using sensor network

Monitoring the plant growth Using sensor network

Monitoring the plant growth Using sensor network

In this system design is used to measure the canopy leaf growth using LDR sensor. The workflow of system design the power supply 230v sends to step down transformer alternating current (AC) is to reduce the high voltage into low voltage. It reduces the voltage into 24v AC and bridge rectifier produce a current which is purely direct current (DC) of 24v. The voltage regulator IC 7805 reduces the 24v into 5v current supply. At last the power supply output is 5v to Microcontroller and sensors. The Peripheral Interface Controllers (PIC) has memory storage, flash memory to reprogram for the process. The microcontrollers which maintain process all operation like transmit, receive and calculate value of data. Light Dependent Resistor (LDR) sensor is a component that has (variable) resistance that changes with the light intensity that reflects on it.
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Real time torque and efficiency monitoring of induction motor by using  wireless sensor network (WSN)

Real time torque and efficiency monitoring of induction motor by using wireless sensor network (WSN)

The system proposed in this paper aims at monitoring the torque and efficiency in induction motors in real time by employing wireless sensor networks (WSNs). An embedded system is employed for acquiring electrical signals from the motor in a noninvasive manner, and then performing local processing for torque and efficiency estimation. The values calculated by the embedded system are transmitted to a monitoring unit through a Zigbee module. At the base unit, various motors can be embedded system was deployed on a workbench, and studies were and at the base station a Graphical User Interface
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Power Monitoring and Controlling using Wireless Sensor Network

Power Monitoring and Controlling using Wireless Sensor Network

N.K.Suryaveda and S.C.Mukhopadhyay [1] reported the design and development of smart monitoring and controlling system for household electrical appliances in real time, in which it emphasizes the realization of monitoring and controlling of electrical appliances in many ways. They determined the areas of daily peak hours of electricity usage levels and come with a solution by which we can lower the consumption and enhance better utilization of already limited resources during peak hours. N.K.Suryadevara and S.C.Mukopadhyay [7] reported a mechanism for estimation of elderly well-being condition based on usage of house-hold appliances connected through various sensing units. This paper defines two new wellness functions to determine the status of the elderly on performing essential daily activities. The developed system for monitoring and evaluation of essential daily activities was tested at the homes of four different elderly persons living alone and the results are encouraging in determining wellness of the elderly. In this research wellness is about well-being of elderly in performing their daily activities effectively at their home. This will facilitate the care providers in assessing the performance of the elderly activities doing independently. The developed home monitoring system using WSN is low cost, robust, flexible, and efficiently monitor and assess the elderly activities at home in real time. Song et al. [4] presented the design and implementation of a home monitoring system based on hybrid sensor networks. The system follows a three-layer architecture which combines hybrid-node networking with web access. An enhanced sensor node has been designed and fabricated to add controlled mobility to wireless sensor networks. Network repair and event tracking capabilities of the mobile sensor node were tested. Stability
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WATER QUALITY MONITORING AND PREDICTION SYSTEM USING   MULTI SENSOR NETWORK

WATER QUALITY MONITORING AND PREDICTION SYSTEM USING MULTI SENSOR NETWORK

WSN technology provides us approach to real time data acquisition, transmission and processing. Low power consumption, long battery life, No carbon emission, more flexible to deploy at remote site. It checks quality of water at the places where generally it is inconvenient to take frequent tests manually. It is the easy installation of the system where the base station can be placed at the local residence close to the target area and the monitoring task can be done by any person with minimal training. Based on a study of existing water quality monitoring system and scenario of water we can say that proposed system is more suitable to monitor water quality parameters in real time. The proposed system introduces wireless sensor networking using several sensors to measure water quality, microcontroller and IOT module which make sensor network simple, low cost and more efficiently. Furthermore, to monitor data from all over the word IOT environment is provided using Arduino for creating gateway and also, cloud computing technology is used to monitor data on the internet. Moreover, to make system user- friendly web browser application is there. WSN technology provides us approach to real time data acquisition, transmission and processing. Water quality prediction will help to give us more time to tackle with water quality monitoring issues
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Wireless Sensor Network for Monitoring A Patient Having Hole in the Heart Continuously Using Zigbee

Wireless Sensor Network for Monitoring A Patient Having Hole in the Heart Continuously Using Zigbee

In this research paper, we presented the wireless Sensor network (WSN)for monitoring a patient having hole in the heart continuously using ZIGBEE The output of biosensor has to be transmitted via Zigbee and the same has to be sent to the remote wireless monitor for observing the condition of the patient having hole in the heart and for the same proper medical treatment should be given to him/ her without surgery using alternative medicine to cure hole in the heart. The remote wireless monitor is constructed of Zigbee and personal computer (PC). The measured signal has to be sent to the PC, which can be data collection. When the measured signals over the standard value, the personal computer sends Global system for Mobile communication (GSM) short message to the care taker.
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Greenhouse Monitoring Using Wireless Sensor Network

Greenhouse Monitoring Using Wireless Sensor Network

The purposes of greenhouse monitoring using wireless sensor network prototype that is targeted at transmitting and receiving data within the greenhouse infrastructure. It was used to as the target for the amount of data that useful for an analysis of the factors that enable proper functioning greenhouse. So, at the beginning of this project, by focusing on the production of prototype models to help people in understanding about monitor the greenhouse by using wireless sensor network. The main objective of this project can be summarized as follows is to develop a greenhouse monitoring system to monitor a greenhouse temperature and humidity parameters by applying the Zigbee a wireless device as the wireless sensor network system.
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Wireless Sensor Network Using Flood Monitoring

Wireless Sensor Network Using Flood Monitoring

Abstract— Wireless Sensor Network is architecture with a variety of potential application. Wireless sensor network have emerged as an important application of the ad-hoc networks paradigm, such as for monitoring physical environment. These sensor networks have limitations of system resources like battery power, communication range and processing capability. There is a crucial link between safety and survival of any transportation organization. History has proved time and again that, over Indian Railways, bridges and track on bridges are one of the weak links in ensuring the required level of safety during floods. Accelerating economic growth demands Indian Railways to increase the traffic, passenger as well as freight, to a new heights and thus necessitating for a greater and automatic real time safety measures involving least human element. Thus it is important for system to enhance safety of track over bridges against any unforeseen flash floods and breaches.
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Environmental Monitoring and Greenhouse Control by Distributed Sensor Network

Environmental Monitoring and Greenhouse Control by Distributed Sensor Network

VI. CONCLUSION AND FUTURE WORK A model of agricultural application using sensor networks for greenhouses monitoring and control was presented. The wireless sensor network technology, although under development, seems to be promising mainly because it allows real time data acquisition. However, for such agricultural application to be developed, some technological challenges should be resolved. A greenhouse is a controlled environment and does not require a lot of climatic parameters to be controlled. The use of this technology in large scale seems to be something for the near future. In this application, the great number of climatic parameters can be monitored using the sensors available. As a greenhouse is a relatively small and controlled environment, and energy is a limited resource, the possibility of replacing batteries or even resorting to a steady energy source adaptation is a constructive aspect. This paper reveals an idea of environmental monitoring and greenhouse control using a sensor network. The hardware implementation shows periodic monitoring and control of greenhouse gases in an enhanced manner. Future work is concentrated in application of the same mechanism using wireless sensor network. This technology can also be applied in breeding of confined animals in precision zoo, where the sensor nodes should send information about animal temperature, pressure and other vital signals to guarantee a healthy environment to animals. In order to attain better energy efficiency, this mechanism will be implemented in real-world wireless sensor network, with a well-known energy efficient distributed clustering mechanism (HEED).
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Patient Health Monitoring in Wireless Sensor Network

Patient Health Monitoring in Wireless Sensor Network

Wireless Sensor Network is a necessary technology for ambient assisted living . The health monitoring systems that are based on mobile and monitor PC, show the main physiological parameters; blood pressure, diabetes and heart rate on their screens. Before the use of wireless monitoring, the data was limited up to the side of patient bed. Now with the help of these systems one can transfer it to anywhere. In case of any hindrance in the transmission of data, the data is transferred with the help of 3G cellular networks. If by any chance the transmission stops and the patient is not in the range of cellular 3G, then the ad-hoc based wireless network is used. In the wireless ad-hoc network when more than one patient are sending data then multi-hop routing based scheme can be used in wireless network.
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Corn Farmland Monitoring Using Wireless Sensor Network

Corn Farmland Monitoring Using Wireless Sensor Network

Abstract - In this paper, we have proposed the system for monitoring the growing status of the corn (maize) plant continuously and intimate the agriculturist using wireless sensor network (WSN). The upsurge increase in the technological and scientific innovation makes advancement in agricultural field. But in practice, cultivator faces too much effort in the farmland. This paper makes eases the work of the farmer in cultivated land through the usage of different kind of sensors. The two LDR sensors are interfaced with PIC16F877A microcontroller whereas its top array receives solar radiation for supply current and the bottom of the LDR array is for measuring leaf area index (LAI). The humidity sensor will compute the moisture level in the corn field, if the level decreases, then it automatically switches ON the DC motor. Another sensor is Water level sensor will anticipate the water level, if the water level aloft the level then it switches OFF the motor. All the particulars of farmland are sending to the farmer through GSM and revel in the LCD screen. The temperature sensor will find the intensity of heat present in the soil. PH sensor is used to find the soil alkalinity which is essential for plant nutrition. With this less cost and energy utilization, WSN is a hopeful method for harvesting the corn crop and also improves the quality of the corn crop and reduces the usage of pesticides, thereby increasing the overall profits for the farmers.
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Polyhouse Monitoring And Controlling Using Wireless Sensor Network

Polyhouse Monitoring And Controlling Using Wireless Sensor Network

Traditionally, the workers in the industries need to take the readings of parameters in different areas to maintain the data as well as to main the operating conditions in the plant. The existing monitoring systems mostly use cable network. This kind of a network has poor performance as far as expansion is concerned. The cables have high incidence of failures due to aging and wear out. When the working surface is expanded, area to be monitored also increases and hence the new cost for installation and maintenance is needed. We design a wireless sensor network based on Zigbee/RF(IEEE 806.15.4) data acquisition system in view to minimize manual interaction and accident potential in the process of data acquisition of an embedded system. Also traditional parameter measurement and monitoring system has high possibility of potential loss of data; same is reduced in Wireless sensor network using co-operative communication system.
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An Anthurium Growth Environment Monitoring System Based on Wireless Sensor Network

An Anthurium Growth Environment Monitoring System Based on Wireless Sensor Network

In recent years, wireless sensor network has become a hotspot of research field as its unique value and advantages in many fields. Wireless sensor network consists of a large number of small wireless sensor nodes, which form an Ad Hoc style network, sense and process various types of monitoring object data information, and send the data information to users [4]. Compared with the traditional networks, wireless sensor networks have the advantages of low power, low cost, no wiring and easy installation, thus has been widely applied in agricultural production fields [5]. For example, Man- cuso Marco used Sensicast Company’s RTD204 module to design a system based on wireless sensor network for monitoring environmental variables such as air tempera- ture, air humidity and soil temperature in a tomato greenhouse [6]. Park DH designed a greenhouse environment monitoring system based on ZigBee, which can monitor air temperature and humidity, and leaf temperature and humidity in real time, and can also control greenhouse temperature and humidity automatically [7]. Chenguan Sun designed an intelligent greenhouse environmental monitoring system by using wire- less sensor network technology, VB programme and flash technique [8]. Feng Gao and others designed a real-time and remote monitoring system for crop water status based on wireless sensor network, which can monitor crop water deficit and some physiological indices [9]. In conclusion, wireless sensor network is very suitable for agricultural production fields.
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Plant Growth Monitoring System

Plant Growth Monitoring System

Abstract: Agriculture is the foundation of the world economy, 75% of nations rely upon agriculture. Agriculture has gotten substantially more than essentially a way to bolster consistently developing populaces. It is significant wherein over 70% populace relies upon agric ulture in India. In image processing, an acknowledgment system equipped for recognizing plants by utilizing the images of their leaves has been created and with the assistance of the utilization of the images of pesticides can be controlled. The proposed system estimates measurements of the plant by utilizing an infrared sensor and creates most extreme stature, width and distance across the stem of the plant as plant growth parameters, utilizing estimated information. The proposed plant growth monitoring system has been executed by structuring a mechanized examining system. At last, the system execution is contrasted and checked and the estimation information that has been gotten by down to earth field tests.
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An FPGA-Based Design of an Intelligent On-Chip Sensor Network Monitoring and Control

An FPGA-Based Design of an Intelligent On-Chip Sensor Network Monitoring and Control

ABSTRACT: Tis paper proposes different low-stage micro architectural designs and frameworks for actual-time monitoring and efficient controlof on-chip sensor network for field programmable gate arrays (FPGAs). The most important targets are to design low vigour, cheap, andincredibly correct monitoring and control mechanism utilising self-sufficient sensor sellers and to dynamically reconfigure control of on chip sensor networks via FPGAs. With the aid of accumulating dynamic and real-time monitoring parameters corresponding to voltage and temperature, the process turns into self-aware and is capable to beef up the utilization of FPGA resources and power consumption. The FPGA synthesis, place and route, and implementation have been performed for the proposed design. The results after synthesis and implementation show a significant low utilization of FPGA logic assets and efficient power consumption of all on-chip sensor add-ons compared with earlier techniques.The proposed design technique andframework will assist network engineers and system designers by providing flexible and efficient real-time monitoring and controldesign of large and complex on-chip sensor networks and remote-sensing applications.
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Pollution Monitoring System Using Gas Sensor Based On Wireless Sensor Network

Pollution Monitoring System Using Gas Sensor Based On Wireless Sensor Network

A number of researches have been conducted related to pollution monitoring. Yang et al. [4] have developed remote online monitoring system for geological carbon dioxide (CO2) leakage which consists of monitoring equipment, server, and clients. The system gets localization and time information through GPS, and then saved into SD cards storage module. The general packet radio service (GPRS) wireless transmission module will send the collected data wirelessly to the data centre server. Sivaraman et al. [5] developed HazeWatch project which uses several low-cost mobile sensor unit attached to vehicles to measure air pollution concentrations such as CO, nitrogen dioxide (NO2), and ozone (O3). The user can tag and upload the data in real time using their mobile phone. The spatial granularity of obtained data was collected to create of pollution maps which viewable in real-time over the web. The mobile personalized apps show the individual exposure history and route planning which less pollution. Peng et al. [6] implemented a total volatile organic compound (VOC) air pollution monitoring system to report value of temperature and humidity at indoor environment with the consideration of the cost, development complexity, and the operation convenience. Kadri et al. [7] developed an ambient real-time air quality monitoring system based on utilizing multi-gas (MG) monitoring stations that communicate with a platform by means of machine-to-machine (M2M) communications. Each MG station contains O3, CO, NO2, and H2S sensors. Jelicic et al. [8] developed flexible wireless system able to detect polluted air in a large environment. The system involves three levels: sensor level, node level and network level which contains metal oxide semiconductor (MOS) gas and a pyroelectric infrared (PIR) sensors. The system adopted duty-cycling of the gas sensor activity to extend the lifetime of node compared to the continuously driven gas sensor. Dian et al. [9] developed a CO2 sequestration monitoring and gas sensing by combining techniques of optical fiber sensing technology and wireless communication and analyzed the power consuming task such as sensing unit, processing unit, and transceiver unit. The result research recommended that renewable energy system such as solar cell maintain long-term and stable work. Pau et al. [10] developed a fuzzy logic system in wireless sensor network for environmental monitoring according to the battery level and to the throughput to reducing power consumption. The experiments result shows that fuzzy-based approach dynamically changes the sleeping time in order to reduce power consumption and increase the lifetime of sensor nodes.
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Sensor Network based Thermal Power Plant Interlock Control and Remote Monitoring System

Sensor Network based Thermal Power Plant Interlock Control and Remote Monitoring System

Pursuing M.Tech, Department of ECE, BVC Engg College, Vodalarevu, Andhra Pradesh, India 1 Assistant Professor, M.Tech, Department of ECE, BVC Engg College, Vodalarevu, Andhra Pradesh, India 2 Associate Professor, (Ph.D), HOD, Department of ECE, BVC Engg College, Vodalarevu, Andhra Pradesh, India 3 ABSTRACT: Due to harmful working environment and remote location of Thermal power plant sites, it is dangerous and time expensive to operate and maintenance. As the demand for power increases, increasing safety and reducing operating and maintenance cost plays a vital role in increasing the reliability of the power plant. As the Thermal power plant has to work for 24 hours and 365 days, it is not possible to monitor the parameters in site at each and every moment. So remote monitoring is also needed. This project develops a sensor network based interlock control and remote monitoring system. The system mainly consist Temperature sensor, Pressure sensor, Flow sensor, Level sensor, RPM sensor, PH sensor, Vibration sensor, Voltage sensor. All the sensors data is processed using ARM processor. Using this system we can control the operation of Thermal power plant in auto mode and monitor the parameters in work place. Also we can communicate the sensor data to other PCs in remote locations using GSM technology.
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Analysis of Electromagnetic Pollution Monitoring using Wireless Sensor Network

Analysis of Electromagnetic Pollution Monitoring using Wireless Sensor Network

Wireless sensor network monitor physical parameter and detect if any violation is occur. Wireless sensor network also monitoring the electromagnetic pollution. In this paper, start with NM selection algorithm was use for the increase network’s lifetime. Second the best energy threshold iterative search technique is finding to increase network’s lifetime. Third, changes in frequency of watchdog technique effect the network’s lifetime. If frequency of watchdog technique will be decreases, then result in a network’s lifetime will be increases. In conclusion, frequency of watchdog technique is very in network’s lifetime. Last the best distribution technique is used for the increase network’s lifetime which is 10x10 star distributions.10x10 star distribution technique increases 77.74% network’s lifetime compare with the homogenous density distribution. Different parameter is used in network model which is used by Nm selection algorithm.
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Patient Monitoring System Using Body Sensor Network

Patient Monitoring System Using Body Sensor Network

of opportunistically affiliated modules and ceremony appendage contributes to the beheading of the primary accoutrement by animate a accumulating of the accoutrement tasks and accouterment annual to the abutting nodes. Adjustable disposed (m-Healthcare) acclimation has been pictured as an important accoutrement of accustomed accession to accession blossom adversity above and save lives, across miniaturized wearable and implantable assay detector nodes and astute phones aggregation acclimatized board apprenticed disposed assay to those that access constant medical distance like abiogenetic birthmark and amore condition. Astute fizz and wireless Physique Sensor Networks (BSN) brash by assay detector nodes, the medical users can airing alfresco and access the high-quality disposed assay from medical professionals anytime and anywhere.
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Healthcare Monitoring System Using Wireless Sensor Network

Healthcare Monitoring System Using Wireless Sensor Network

Confidentiality and integrity of the gossip packets exchanged between the nodes of a network can be ensured by fragmenting and transforming the gossip packets before transmitting them as suggested in [26]. [27] proposes a similar approach towards secure data transfer over a network using the concept of jigsaw puzzle. [28] [29] suggest another approach based on the LSB data hiding technique. [30] discusses different steganography techniques that can be applied for ensuring confidentiality and integrity of the gossip packets. In case of the deployment of the suggested system in an ad-hoc mobile network, routing techniques mentioned in [31] can be used for propagating the gossip packets among the nodes of the network. In order to ensure that the gossip packet is exchanged with a legitimate authorized node of the network we use the technique suggested in [32].
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Wireless sensor network system: Gas leakage detection and monitoring

Wireless sensor network system: Gas leakage detection and monitoring

typical WSN system designed and developed can be made to function effectively to detect and monitor the gas leakages in the industrial sectors. Through this short communication, we report our laboratory efforts taken to design, fabricate, and develop a WSN system that describes the deployment of sensor nodes and successively calibration of the sensor output as a function of the system input (supply voltage). The sensor node attains early gas detection using a semiconductor gas sensor (usually an oxide), an arduino nano microcontroller, an arduino UNO microcontroller, X and an arduino GSM shield. The node receives leaked gas signal from the leakage area and communicate it to the network coordinator wirelessly through the X
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