Abstract
In modern scenario Wireless Sensor networks are one of the most thrust areas in the modern research scenario. Air pollution is one of the major concerns which needs to be tackled in an appropriate way; otherwise in future, all living organisms will be dilapidated by its menacing effects. The present work focuses on the use of ZigBee module to measure the toxic gases in the atmosphere using sensors, and the communication protocol is based on wireless sensor network. The data are stored in a platform and compared with the threshold levels of the toxic elements. Whenever it crosses an alarm is raised so that necessary actions can be incorporated. With the help of these data, it has been found that the presence of toxic gases in the nature is successfully detected, and the method can be employed in all cities for its proper applications.
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References
Folea, S.C., Mois, G.: A low-power wireless sensor for online ambient monitoring. IEEE Sens. J. 15(2), 742–749 (2015)
Ali, H., Soe, J.K., Weller, S.R.: A real time ambient air quality monitoring wireless sensor networks for schools in smart cities. In: IEEE First International Smart Cities Conference (ISC2), pp. 271–350 (2015)
Al Rasyid, M.U.H., Nadhori, I.U., Alnovinda, Y.T.: CO and CO2 pollution monitoring based on wireless sensor network. In: IEEE International Conference on Aerospace Electronics and Remote Sensing Technology (ICARES) (2015)
Peng, C., Kun, Q.: Design and application of a VOC-monitoring system based on a ZigBee wireless sensor network. IEEE Sensors J. 15(4), 2255–2268 (2015)
Abo-Zahhad, M., Ahmed, S.M., Farrag, M., Ahmed, M.F.A., Ali, A.: Design and implementation of building energy monitoring and management system based on wireless sensor networks. In: Tenth International Conference on Computer Engineering and Systems (ICCES) (2015)
Minglei, S., Li, X., Zhu, C., Zhang, J.: Gas concentration detection using ultrasonic based on wireless sensor networks. In: 2nd International Conference on Information Science and Engineering (ICISE) (2010)
Nograles, H.A.H., Agbay, C.P.D., Flores, I.S.L., Linsangan Manuel Jr., A., Salonga, J.B.C.: Low cost internet based wireless sensor network for air pollution monitoring using Zigbee module. In: Fourth International Conference on Digital Information and Communication Technology and It’s Applications (DICTAP) (2014)
Jamil, M.S., Jamilb, M.A., Mazhar, A., Ikram, A., Ahmed, A., Munawar, U.: Smart environment monitoring system by employing wireless sensor networks on vehicles for pollution free smart cities. Procedia Eng. 107, 480–484 (2015)
Sun, P.-L., Weng, J.-Y., Yang, C.-T., Chen, S.-T., Liu, J.-C.: The implementation of air pollution monitoring service using hybrid database converter. In: 7th International Conference on Cloud Computing and Big Data
He, H., Gao, Y., Zhang, Z.: The urban road dust monitoring system based on ZigBee. In: Control and Decision Conference (CCDC), Chinese (2016)
Ferdoush, S., Li, X.: Wireless sensor network system design using Raspberry Pi and Arduino for environmental monitoring applications. In: The 9th International Conference on Future Networks and Communications (FNC-2014), vol. 34, pp. 103–110 (2014)
Qian, C., Cai, W.: The design and implementation of video wireless WIFI sensor nodes with the function of air targets detection. In: International Conference on Wireless Communication and Sensor Network (WCSN) (2014)
Madan, V., Reddy, S.R.N.: Review of wireless sensor mote platforms. VSRD Int. J. Electr. Electron. Commun. Eng. 2(2), 50–55 (2012)
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Bhowmik, T., Bhattacharya, A., Banerjee, I. (2019). A Low-Cost Air Pollution Monitoring System Using ZigBee-Based Wireless Sensor Networks. In: Satapathy, S., Joshi, A. (eds) Information and Communication Technology for Intelligent Systems . Smart Innovation, Systems and Technologies, vol 107. Springer, Singapore. https://doi.org/10.1007/978-981-13-1747-7_8
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DOI: https://doi.org/10.1007/978-981-13-1747-7_8
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