Total views : 248

IOT based Environment Condition Monitoring System


  • School of Information Technology and Engineering, VIT University, Vellore – 632014, Tamil Nadu, India
  • Department of Electricals and Computers, KTH Technical University, Swedan


Objectives: The Embedded Technology is currently in its primary and the affluence of Knowledge offered is amazing. Embedded System is a permutation of hardware and software. Embedded technology plays a most important role in integrating the variety of functions coupled with it. Methods: This desire to bind up the variety of sources of the Department in a closed loop structure. This proposal significantly reduces the manpower, saves time and operates efficiently without individual interfering. This project puts out the first action in achieving the desired target. With the advent in technology, the existing systems are developed to contain inbuilt intelligence. This system will automatically broadcast the real time surroundings data. Findings: In this project we are going to observe the environment circumstances using the smart sensors in embedded technology, using this project we can analyze the climate and pollution state of our surrounding, using this data we can recover our surroundings from pollution. Applications: The Arduino as the prime controller which uses ATMEGA328 microcontroller, temperature, humidity, gas, sound sensors are used to sense the environment condition and provide the data to the Microcontroller which is used to observe the level and send the data to the cloud server via IOT module.


Arduino, Embedded Technology, Internet of Things, Sensors

Full Text:

 |  (PDF views: 255)


  • Mauricio T, El-Tawab S, Heydari HM. Improving the security of wireless sensor networks in an IOT environmental monitoring system. 2016 IEEE Systems and Information Engineering Design Symposium (SIEDS); 2016. Crossref
  • Kumar D, Aseri TC, Patel RB. EECHDA: Energy Efficient Clustering Hierarchy and Data Accumulation for Sensor Networks. BIJIT. 2010; 2(1):150–7.
  • Agre J, Loren C. An integrated architecture for cooperative sensing networks. Computer. 2000; 33(5):106–8.
  • Crossref
  • Isidhag U. Internet of Things: Software Platforms. Enhanced Building Information Models. Springer International Publishing; 2015. p. 55–70.
  • Bhardwaj M, Garnett T, Chandrakasan AP. Upper bounds on the lifetime of sensor networks. IEEE 2001 International Conference on Communications (ICC). 2001. p. 3.Crossref
  • Bulusu N, Estrin D, Girod L, Heidemann J. Scalable coordination for wireless sensor networks: self-configuring localization systems. International Symposium on Communication Theory and Applications (ISCTA); 2001; Ambleside, UK.
  • Yao-Hung WU, Wei-Mei CHEN. Localization using a mobile beacon with directional antenna for wireless sensor networks. IEICE Transactions on Information and Systems.2011; 94(12):2370–7.
  • Shukla H, Bhave V, Sonawane S, Abraham J. Design of efficient communication algorithms for hotspot detection in data centers using Wireless Sensor Networks. 2016 IEEE International Conference on Wireless Communications Signal Processing and Networking (WiSPNET); 2016.Crossref
  • Cerpa A, Estrin D. ASCENT: Adaptive self-configuring sensor networks topologies. 2004 IEEE Transactions on mobile computing. 2004; 3(3):272–85. Crossref
  • Sasanth T, Syed U. A Study on ASCENT in Wireless Sensor Networks. International Journal of Science Engineering and Computer Technology. 2013; 3(8):267.
  • Marco A, Casas R, Falco J, Gracia H, Artigas JI, Roy A. Location-based services for elderly and disabled people. Computer communications. 2008; 31(1):1055–66. Crossref
  • Huang CN, Chiang CY, Chang JS, YC Chou YC, YX Hong XY, Hsu SJ, Chu WC, Chan CT. Location-aware fall detection system for medical care quality improvement. MUE’09. 2009 IEEE Third International Conference on Multimedia and Ubiquitous Engineering; 2009. Crossref
  • Sanchez G, Javier A, Garcia-Sanchez F, Garcia-Haro J. Wireless sensor network deployment for integrating videosurveillance and data-monitoring in precision agriculture over distributed crops. Computers and Electronics in Agriculture. 2011; 75(2):288–303. Crossref
  • Zhang Y. Design of the node system of wireless sensor network and its application in digital agriculture. 2011 IEEE International Conference on Computer Distributed Control and Intelligent Environmental Monitoring (CDCIEM); 2011.
  • Crossref
  • Riquelme, JA López, Soto F, Suardíaz J, Sánchez P, Iborra A, Vera JA. Wireless sensor networks for precision horticulture in Southern Spain. Computersand Electronics in Agriculture. 2009; 68(1):25–35. Crossref


  • There are currently no refbacks.

Creative Commons License
This work is licensed under a Creative Commons Attribution 3.0 License.