Abstract
Due to the development of technology and increased human activities for sustained life, different environmental parameters are changing day by day. These environmental parameters are temperature, humidity, amount of carbon monoxide, methane, smoke, etc. Due to different technological and industrial activities, the values of all these parameters are increasing day by day. Increase in these parameters has an adverse effect on human beings. So environmental monitoring is essential at regular interval of time. Nowadays, VANET is the emerging technology which provides both safety as well as non-safety applications. Networking through vehicles is called VANET. In this paper, by using different sensors and VANET, different environmental parameters are monitored using fuzzy transformation function regularly. Based on the monitoring the values, we can classify a particular region as low-zone region, medium-zone region, and high- or critical-zone region.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Bhoi, S.K., Khilar, P.M.: Vehicular communication: a survey. IET Netw. 3(3), 204–217 (2013)
Zeadally, S., Hunt, R., Chen, Y.-S., Irwin, A., Hassan, A.: Vehicular ad hoc networks (VANETs): status, results, and challenges. Telecommun. Syst. 50(4), 217–241 (2012)
Sichitiu, M.L., Kihl, M.: Inter-vehicle communication systems: a survey. IEEE Commun. Surv. Tutorials 10(2), 88–105 (2008)
Hafeez, K.A., Zhao, L., Ma, B., Mark, J.W.: Performance analysis and enhancement of the DSRC for VANET’s safety applications. IEEE Trans. Veh. Techno. 62(7), 3069–3083 (2013)
Swain, R.R., Khilar, P.M.: Composite fault diagnosis in wireless sensor networks using neural networks. Wireless Pers. Commun. 95(3), 2507–2548 (2017)
Swain, R.R., Khilar, P.M., Bhoi, S.K.: Heterogeneous fault diagnosis for wireless sensor networks. Ad Hoc Netw. 69, 15–37 (2018)
Boatman, J.F., Reichel, B.S.: Environment monitoring system, April 6 1999. US Patent 5,892,690
Kastner, J.R., Das, K.C.: The potential of coupling biological and chemical/physical systems for air pollution control: a case study in the rendering industry. Air Pollution from Agricultural Operations-III. American Society of Agricultural and Biological Engineers (2003)
Bhoi, S.K., Khilar, P.M., Singh, M.: A path selection based routing protocol for urban vehicular ad hoc network (UVAN) environment. Wireless Netw. 23(2), 311–322 (2017)
Huerta, R., Mosqueiro, T., Fonollosa, J., Rulkov, N.F., Rodriguez-Lujan, I.: Online decorrelation of humidity and temperature in chemical sensors for continuous monitoring. Chemom. Intell. Lab. Syst. 157, 169–176 (2016)
Sushmita, M., De Rajat, K., Pal, S.K.: Knowledge-based fuzzy MLP for classification and rule generation. IEEE Trans. Neural Netw. 8(6), 1338–1350 (1997)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Senapati, B.R., Swain, R.R., Khilar, P.M. (2020). Environmental Monitoring Under Uncertainty Using Smart Vehicular Ad Hoc Network. In: Satapathy, S., Bhateja, V., Mohanty, J., Udgata, S. (eds) Smart Intelligent Computing and Applications . Smart Innovation, Systems and Technologies, vol 159. Springer, Singapore. https://doi.org/10.1007/978-981-13-9282-5_21
Download citation
DOI: https://doi.org/10.1007/978-981-13-9282-5_21
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-13-9281-8
Online ISBN: 978-981-13-9282-5
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)