IoT for monitoring carbon monoxide (CO) emissions using wireless sensor networks in smart cities

  • Authors

    • Vijaya Lakshmi Paruchuri
    • Dr P. Rajesh
    2018-03-18
    https://doi.org/10.14419/ijet.v7i2.7.12226
  • Air Pollution, Wireless Sensor Networks, Environmental Monitoring, Internet of Things, Smart city.
  • Abstract

    A Smart city is characterized by the efficient use of information technology and industrial assets for financial improvement. Internet of Things (IoT) is an arrangement of embedded devices that communicates by using the internet and uniquely addressable with standard protocols. Application areas of Internet of things are smart cities, environmental protection, smart transportation, healthcare, agriculture and public security. Development of Smart cities leading to Pollution. Air Pollution is an environmental health concern for the public. Carbon Monoxide is a harmful gas to the human beings and also the leading cause of air pollution. So it is necessary to develop a mechanism for the detection of carbon monoxide molecules. This paper presents a survey on the methods of measuring the Carbon Monoxide emissions by using Wireless Sensor Networks. Availability of CO data from a monitoring program can be utilized for providing the awareness to the public about the air pollution.

     

     

  • References

    1. [1] Tarikul Islam, Member, IEEE, Subhas Chandra Mukhopadhyay, Fellow, IEEE, and Nagender Kumar Suryadevara, Senior Member, IEEE, Smart Sensors and Internet of Things: A Postgraduate Paper, IEEE SENSORS JOURNAL, VOL. 17, NO. 3, FEBRUARY 1, 2017.

      [2] Fadi Kizel , Yael Etzion , Rakefet Shafran-Nathan , Ilan Levy , Barak Fishbain , Alena Bartonova , David M. Broday , Node-to-node field calibration of wireless distributed air pollution sensor network, 2017 Elsevier, Pg 1-10.

      [3] Aakash C. Rai , Prashant Kumar, Francesco Pilla, Andreas N. Skouloudis , Silvana Di Sabatino ,Carlo Ratti , Ansar Yasar , David Rickerby , End-user perspective of low-costsensors for outdoor air pollution monitoring, A.C. Rai et al. / Science of the Total Environment 607–608 (2017) 691–705.

      [4] Jorge E. Gómeza, Fabricio R. Marcillob, Freddy L. Trianab, Victor T. Gallob Byron W.Oviedob, Velssy L. Hernándeza ,JorgeE . G ómezet “IoT FOR ENVIRONMENTAL VARIABLES IN URBAN AREAS" al./ ProcediaC ompute rS cience1 09C(201 7) 67– 74 Góme zetal / Pr ocediaComputerScience0 0(2015) 000– 000.

      [5] Iman Khajenasiria, Abouzar Estebsarib, Marian Verhelsta, Georges Gielena Iman Khajenasiri; A review on Internet of Things solutions for intelligent energy control in buildings for smart city applications et al. /Energy Procedia 111( 2017 )770 – 779.

      [6] Sarra Hammoudi, Zibouda Aliouat, Saad Harous; Challenges and research directions for Internet of Things,Telecommun Syst (2018) 67:367–385.

      [7] Ahmad Ali, Yu Ming, Sagnik Chakraborty and Saima Iram ; A Comprehensive Survey on Real-Time Applications of WSN;Future Internet 2017, 9, 77 doi:10.3390/fi9040077.

      [8] Suryono Suryono, Bayu Surarso, Ragil Saputra. Ali Bardadi, A Web-Based Wireless Sensor System to Measure Carbon Monoxide Concentration, Proc. EECSI 2017, Yogyakarta, Indonesia, 19-21 September 2017.

      [9] Xiaochi Zhou,Johanna Aurell, William Mitchell, Dennis Tabor, Brian Gullettd, A small, lightweight multipollutant sensor system for 1 ground-mobile and aerial emission sampling from open area sources, Atmospheric Environment, 10.1016/j.atmosenv.2017.01.029.

      [10] Philipp Schneider, Nuria Castell, Matthias Vogt, Franck R. Dauge, William A. Lahoz, Alena Bartonova, Mapping urban air quality in near real-time using observations from lowcost sensors and model information, Environment International 106 (2017) 234–247.

      [11] Konstantinos Tzortzakis∗, Konstantinos Papafotis and Paul P. Sotiriadis, Wireless Self Powered Environmental Monitoring System for Smart Cities based on LoRa, 978-1-5386-2287-2/17/$31.00@ 2017 IEEE.

      [12] Luca Dalla Valle, Giorgia Passamani, Elena Cristina Rada, Vincenzo Torretta, Unconventional Reducing Gases Monitoring in Everyday Places, Energy Procedia 119 ,(2017) 3–9.

      [13] Ronak Vithlani2, Siddharth Fultariya2, Mahesh Jivani1, Haresh Pandya1, An open source real time IoT based environmental sensor monitoring system, Kalpa PublicationsinComputing, Volume2,2017,Pages145-150.

      [14] Laurent Spinelle, Michel Gerboles, Maria Gabriella Villani, Manuel Aleixandrec,Fausto Bonavitacola,Field calibration of a cluster of low-cost commercially availablesensors for air quality monitoring. Part B: NO, CO and CO2, Sensors and Actuators B 238 (2017) 706–715.

      [15] C. Borrego, A.M. Costa, J. Ginja, M. Amorim, M. Coutinho, K. Karatzas, Th. Sioumis, Assessment of Air Quality Microsensors Versus Reference Methods: 1 the EuNetAir Joint Exercise, Atmospheric Environment, 10.1016/j.atmosenv.2016.09.050.

      [16] Bambang Sugiarto, Rika Sustika, Data Classification for Air Quality on Wireless Sensor Network Monitoring System Using Decision Tree Algorithm, 978-1-5090-4357-6/16/$31.00 ©2016 IEEE.

      [17] Movva Pavani, P.Trinatha Rao, Real Time Pollution Monitoring Using Wireless Sensor Networks, 978-1-5090-0996-1/16/$31.00 ©2016 IEEE.

      [18] M. Fazio, A. Celesti, A. Puliafito, M. Villari M. Fazio; Big Data Storage in the Cloud for Smart Environment Monitoring et al. / Procedia Computer Science 52 (2015) 500 – 506.

      [19] Ibrahim Abaker Targio Hashem, Victor Chang , Nor Badrul Anuar, Kayode Adewole, Ibrar Yaqoob, Abdullah Gani, Ejaz Ahmed, Haruna Chiroma;The Role of Big Data in Smart City;Article in International Journal of Information Management,May 2016.

      [20] Aminuddin Debataraja, Ahmad Rifqi Muchtar, Ni Luh Wulan Septiani, Brian Yuliarto, Nugraha, and Bambang Sunendar ;High Performance Carbon Monoxide Sensor Based on Nano Composite of SnO2-Graphene;EEE SENSORS JOURNAL, VOL. 17, NO. 24, DECEMBER 15, 2017.

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  • How to Cite

    Lakshmi Paruchuri, V., & P. Rajesh, D. (2018). IoT for monitoring carbon monoxide (CO) emissions using wireless sensor networks in smart cities. International Journal of Engineering & Technology, 7(2.7), 1045-1050. https://doi.org/10.14419/ijet.v7i2.7.12226

    Received date: 2018-04-27

    Accepted date: 2018-04-27

    Published date: 2018-03-18