A R DIGITECH International Journal Of Engineering, Education And Technology (ARDIJEET) www.ardigitech.in ISSN 2320-883X, VOLUME 04 ISSUE 03 01/04/2016  

Wireless Sensor Network Based Environmental Monitoring For IOT Applications

Mundhe R.S.*1, Dabhade R.G.*2 *1(PG Student Dept. of E&TC Engineering,SND College of Engineering & RC,Babhulgaon, India)

*2 (Asst. Professor Dept. of E&TC Engineering,SND College of Engineering & RC,Babhulgaon, India) reshmamundhe.0905@gmail.com*1

Abstract- The Internet of Things (IoT) is the system network of physical object devices, vehicles, buildings and other items embedded with sensors, electronics, software and network connectivity that enables these objects to collect and exchange data.IoT is expected to generate large amounts of data from diverse locations.IoT is one of the platforms for today’s smart city and smart energy management systems. Wireless Sensor Network (WSN) are spatially distributed autonomous sensors to monitor environmental conditions such as sound, pressure, temperature etc. This paper presents the functional design and integration of a complete WSN platform that can be used to remote environmental monitoring and target tracking for IoT applications. The application requirements are long lifetime, low cost, fast deployment, low maintenance; high number of sensors and high quality of service are considered in the specification. Low-effort platform reuse is also considered for the specifications and design levels for a wide array of related monitoring applications. Keywords-ARM, Internet of Things (IoT), Sensor data acquisition.

I. INTRODUCTION

WSN data acquisition for IoT environmental monitoring applications is challenging, especially for open nature fields. Advantages of WSN’s are its high reliability, low cost, and long maintenance-free operation. At the same time,

the nodes can be exposed to variable and extreme climatic conditions. The Internet of thing (IoT) [1, 5] has technological evolutions in information industry. Disadvantages of WSN’s are deployment field may be costlyand difficult to reach, also the field devices weight, size, and ruggedness can matter [2]. Wireless Sensor Networks (WSN)[3] are based on advanced technologies in which we communicate with the environment by sensing the properties of nature.WSN are spatially distributed autonomous sensors for monitoring environmental conditions, such as pressure, temperature and sound etc. and pass their data through the network to a main location [4]. To effectively collect and process the data and information at IoT end nodes, a low-cost data acquisition system is necessary in IoT based information systems. WSN (wireless sensor network) [2] system have well suitability for long-term industrial environmental data acquisition for IoT representation. A WSN can generally be described as a network of node that cooperatively sense and control the environment, enabling interaction between computers and the surrounding environment [6]. In this paper, a new method of environment monitoring system based on a WSN technology is proposed.

II. SYSTEM ASPECTS AND DESIGN DETAILS

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A R DIGITECH International Journal Of Engineering, Education And Technology (ARDIJEET) www.ardigitech.in ISSN 2320-883X, VOLUME 04 ISSUE 03 01/04/2016  The proposed system consists of sensors and wireless sensor network. The sensor performs the sensing functions that are collecting data from different locations such as temperature, light, humidity, gas by using different sensors and then this information which is collected from different sensors which is stored in GSM900 and displayed on LCD display. Now this different sensor values is send to the website. After starting internet connection the information which is given by the different sensors is displayed on computer.

Fig. 1. Block diagram of system

Fig.1. Shows block diagram of system. It consist of LPC 2148 as controller which provides all controlling platform for whole system by using inputs sensors temperature, humidity, light, gas sensor. It sends out sensed parameters on LCD display. GSM900 is used to store the information obtained from the sensors. LPC2148 links received data towards the LCD display and again it is carry forward to the webpage via GSM network.

III. SYSTEM OPERATION

Collect data of different parameters from the different locations:

Various parameters such as temperature, light intensity, humidity and gas can monitored and depending upon variations, the data will be collected.

Perform analog to digital conversion on the collected data:

Depending upon collected data, for proper signal conditioning, received data must be converted into the analog to digital format.

Display the collected data i.e. quantified representation of parameters. Now we have to send the collected data by sensor.

The collected data is stored in GSM900 and the stored data is transferred to the LCD display unit to display the value i.e. sensors output.

By starting the internet connection these values are displayed on the website.

Fig. 2. Flowchart of system

IV. Results and Discussions The proposed system is simulated by using KEIL software and experimentally evaluated for

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A R DIGITECH International Journal Of Engineering, Education And Technology (ARDIJEET) www.ardigitech.in ISSN 2320-883X, VOLUME 04 ISSUE 03 01/04/2016  various conditions of sensors. In this section, practical readings form temperature sensor, light sensor, humidity sensor, gas sensor etc. are evaluated. Proposed system consists of sensors. Output is displayed on 16×2 display.

A. Temperature Sensor Input sensor considered for temperature is LM35. Whatever temperature is detected for particular locations which are detected by the sensor. B. Light Intensity Sensor LDR is the input sensor considered as a light intensity sensor. The present light intensity is detected in this sensor. C. Humidity Sensor The SY-HS-220 is the humidity sensor used to detect the humidity of present location. This humidity is displayed on LCD display. D. Gas sensor The MQ135 is the gas sensor used to detect the humidity of present location. This is displayed on LCD display.

V. ADVANTAGES

• Reduces manpower • Wireless Sensor System • Accurate system • Faster data transfer • Automatic Indication • Time saving • Low power consumption

VI. APPLICATIONS

• Home automation and domotics. • Daily life (traffic monitoring, shopping,

etc.)

• Transport and logistics. • Health. • Forest fire detection.

VII. CONCLUSION

In these system “Environmental Monitoring for IOT application “using Wireless sensor network has been implemented using LPC2148 along with GSM900 for initiated locations. The proposed system consists of Temperature, Humidity, Light, Gas sensors. This platform gives flexibility, reusability &optimization of sensors. These parameters are remotely manipulated with GSM modem.This system gives the functional design and implementation of a completeWSN platform that can be used for a range of long-term environmental monitoring IoT applications. Photographs of proposed system are displayed as follows:

Fig. 3. Project setup for monitoring environmental conditions

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A R DIGITECH International Journal Of Engineering, Education And Technology (ARDIJEET) www.ardigitech.in ISSN 2320-883X, VOLUME 04 ISSUE 03 01/04/2016  

Fig. 4. Simulated results for system

REFERENCES

[1] S. Chen et al., Capacity of data collection in arbitrary wireless sensor networks, IEEE Trans. Parallel Diatribe. Syst., vol. 23, no. 1, pp. 5260, Jan. 2012. [2] M. T. Lazarescu, Design of a WSN platform for long-term environmental monitoring for IoT applications, IEEE J. Emerg. Sel. Topics Circuits Syst., vol. 3, no. 1, pp. 4554, Mar. 2013. [3] K. Romer and F. Mattern, The design space of wireless sensor networks, IEEE Wireless Commun., vol. 11, no. 6, pp. 5461, Dec. 2004. [4] IEEE journal on emerging and selected topics in circuits and systems, vol. 3, no. 1, march 2013. [5] S. Chen et al., Capacity of data collection in arbitrary wireless sensor networks, IEEE Trans. Parallel Diatribe. Syst., vol. 23, no. 1, pp. 5260, Jan. 2012. [6] BRORING, A. et al. New generation sensor web enablement. Sensors, 11, 2011, pp. 26522699. ISSN1424-8220. Available from: doi: 10.3390/s110302652

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