REAL TIME SENSOR DATA TRANSMISSION TO IOT THROUGH SOIL

1 M.Rajasekar , 2 V.Senthil Kumar, 3 S.Sathish Kumar, 4 J.Prince Joshua Gladson.

1 UG Scholar , 2 UG Scholar , 3 UG Scholar, 4 Assistant Professor.

Department of Electrical and Electronics Engineering,

Ponnaiyah Ramajayam Engineering College , Thanjavur, India

IJTCSE Research /ISSN 2349–1582 conference publication

Abstract : Soil is one of the most important substances on earth. People now days always want something that can make their life easier. In this thesis is used to define the data transmission systems such as monitoring the crop fields from internet of things through soil. By using Wireless Sensor Technology we avoid the huge amount of soil erosion is being caused by the dynamic activity of erosive agents, that is, water, ice (glaciers), snow, air (wind), plants, animals, and humans. The microcontroller (PIC) based soil monitoring is used to indicate the level of the soil type, moisture content, Temperature level of the crop field. Sensor Based Soil Pollution Detection, it will check the soil quality by using these parameters such as the Temperature level, Moisture are measured in real time by the Underground sensors and it will monitor by an agent

Index Terms — IOT,Wireless Sensor,etc.,

INTRODUCTION

As the wireless sensor network (WSN) commuctation through the undergroundmedium has been a challenging research areafor more than a century. This type of communication proves useful for a wide variety of applications, e.g. soil condition monitoring and earthquake prediction. These applications require the deployment of sensors below the ground surface. Hence, the sensors become part of the sensed environment and might deliver more precise sensing information than if they are deployed aboveground.

EXISTING SYSTEM

Soil is a limited resource and is essential for agriculture, industry and for creature’s existence on earth including human beings. Lots of people don’t realize the true importance of soil quality every-day. More soil is wasted by many uncontrolled way. This problem is quietly related to soil Pollution, the contamination of soil of a particular region, and lack of adequate and integrated soil management. Therefore, efficient use and soil monitoring are potential constraint for agriculture lands and greenhouse management system maintenance to monitoring the soil parameters.

PROPOSED SYSTEM

Data transmission is carry out in soil rather than fiber optical and air (radio waves).The tower occupation area is reduced.At specific soil moisture the data transmission is possible and also soil monitoring within a same system.The transmission of data depands on the soil type ,moisture content,soil composition,buried depth and electrical conductivity of the soil.

HARDWARE REQUIRED

  • PIC16F877A
  • Temperature Sensor
  • Moisture Sensor
  • Underground Sensor
  • IOT Board

PIC16F877A CONTROLLER

This board is build with PIC16F877A as a microcontroller unit. The input supply to the board can be fed from both ac and dc. It uses a crystal oscillator for generating frequency. A serial communication is achieved by an UART protocol. This board is specially designed for connecting digital and analog sensors which has input voltage range 5 or 12VDC as well as it can be interfaced with serial communication devices, relay boards etc. The output can be monitored in LCD as well as pc. Data EEPROM is used to store data defined by the user. PCB design. When a variable is defined it is stored in program memory and the value of the variable is stored in data EEPROM Synchronous serial ports are used to communicate with other peripheral devices like serial EEPROMS, A/D converters.

DIAGRAM

PIC assembled PCB

And shift registers. PCB design. They have two modes. 1- SPI Serial Peripheral Interface 2- I2C Inter Integrated Circuit

VII. IOT_INTERNET OF THINGS

Lumisense IoT board designed to meet a variety of online application needs with distinct advantages that enable the embedded system designer to easily, quickly and seamlessly add internet connectivity to their applications.

The module’s UART update feature and webpage control make them perfect for online wireless applications such as biomedical monitoring, environmental sensors, and datas from portable battery operated wireless sensor network devices.

Lumisense IoT board featured with SIM900 GPRS modem to activate internet connection also equipped with a controller to process all input UART datas to GPRS based online data.

Features:

  • Dedicated Webpage and face book community page will be provided for every board.
  • Network connectivity status.

Applications:

  • Online Traffic monitoring
  • Online Health monitoring
  • Real time Transport and Logistics monitoring
  • Daily life and domestics

VIII. CIRCUIT DIAGRAM

Transmitter

Receiver:

IX. RESULT

Hence we determine data transform wireless underground sensor networks (WUSNs) by useing Electromagnatic waves and Magnetic induction.

X.CONCLUSION

In this work, the recent advances in MI-WUSNs and related areas (WUSNs, NFC, magnetic communication in liquids) have been reviewed. The advances in the related areas provide an important insight into the typical problems of system modeling and design. For MI-WUSNs, the advances are related to various aspects of wireless communication and networking. In particular, the important aspects of channel modeling, digital signal transmission and processing, synchronization, network design, WPT,and localization, have been discussed. In addition,the implementation and validation attempts by some innovative research groups have been mentioned.Many novel methods appeared in the recent years, which contributed to a substantial improvement of the overall system performance compared to the naive methods in the past. Through this, a better understanding of the underlying research challenges and design problems has been elaborated. Hence, the focus of the research has changed and the research challenges have been extended. In future, the main focus of the research in this area seems to lie in more advanced cross-layer optimization techniques, which would incorporated multiple functionalities of the MI-WUSNs, e.g. design of energy-efficient high throughput MI-WUSNs. Also, the use of mixed active and passive MI relays with different operation patterns is promising, which might reduce the path loss for information and energy transmissions. Furthermore, various important interfaces have been suggested, which are likely to be addressed in future research on WUSNs, e.g. interface betweenunderground WSNs and self-driving cars. These interfaces might give rise to some novel applicationsof IoT.

XI. REFERENCES

[1] I. Akyildiz, W. Su, Y. Sankarasubramaniam, and E. Cayirci, “Wireless sensor networks: A survey,” Comput. Netw. J. (Elsevier),

vol. 38, no. 4, pp. 393–422, Mar. 2002.

[2] I. Akyildiz and M. Vuran, Wireless Sensor Networks. Wiley,2010.

[3] I. Akyildiz and E. Stuntebeck, “Wireless underground sensornetworks: Research challenges,” Ad Hoc Networks, vol. 4, no. 6, pp. 669–686, Nov. 2006.

[4] M. Vuran and A. Silva, “Communication Through Soil in Wireless Underground Sensor Network: Theory and Practice,” in Sensor Networks, G. Ferrari, Ed. Springer Berlin Heidelberg, 2009.

[5] R. Bansal, “Near-field magnetic communication,” in IEEE Antennas and Propagation Magazine, vol. 46, no. 2, April 2004, pp. 114–115.

[6] A. Karalis, J. Joannopoulos, and M. Soljacic, “Efficient wireless non-radiative mid-range energy transfer,” Annals of Physics, vol. 323, no. 1, pp. 34– 48, Jan. 2008.

[7] Z. Sun and I. Akyildiz, “Magnetic induction communications for wireless underground sensor networks,” IEEE Trans. Antennas Propag., vol. 58, no. 7, pp. 2426–2435, Jul. 2010.

[8] A. Sheth, K. Tejaswi, P. Mehta, C. Parekh, R. Bansal, S. Merchant, U. Singh, T .and Desai, C. Thekkath, and K. Toyama, “Senslide: asensor network based landslide prediction system,” in Proc. of the 3rd international conference on Embedded networked sensor systems. ACM, 2005, pp. 280–281.

[9] K. Martinez, R. Ong, and J. Hart, “Glacsweb: a sensor network for hostile environments,” in Proc. of IEEE SECON, 2004, pp.81–87.

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