Isolated Power Monitoring and Detection Scheme using Wireless Sensor Network

International Journal of Mobile Computing and Application

© 2018 by SSRG - IJMCA Journal

Volume 5 Issue 2

Year of Publication : 2018

Authors : Setiawan Basuki

10.14445/23939141/IJMCA-V5I2P104

How to Cite?

Setiawan Basuki, "Isolated Power Monitoring and Detection Scheme using Wireless Sensor Network," SSRG International Journal of Mobile Computing and Application, vol. 5,  no. 2, pp. 13-17, 2018. Crossref, https://doi.org/10.14445/23939141/IJMCA-V5I2P104

Abstract:

This paper submits a detached absorption inspecting and appreciation system shaped on wireless sensor network. This association observes fire by inspection nearby infection, dampness and smoke. Once fire is professed, an alerting message surrounding conceivable position of that fire is straight sent to the responsible dedicated done cellular network. In instruction for the scheme to be additional operative, persons existing instant forests or national commons can mention attentiveness messages whole the similar system to the responsible professional exhausting their mobile receivers once they spectator remote concentration or illegal actions. For the system to be entirely competent, the only complaint is the availability of cellular network consideration in forests or national parks to allow short message conveniences to take place. The scheme example is recognized using Arduino microcontroller, numerous sensors to notice temperature, proportional humidity and smoke as glowing as wireless network assembly components. At the control middle messaging platform is used to design the messaging service. The new results authenticate the competence of the planned system in observing isolated passion in real time

Keywords:

Wildfire, Monitoring, Detection, Wireless Sensor Network, Forests, CellularNetwork Coverage.

References:

[1] Alkhatib, A.A.A. (2014) A Review on Forest Fire Detection Techniques. International Journal of Distributed Sensor Networks, 2014, Article ID: 597368. https://doi.org/10.1155/2014/597368 
[2] Vicente, F.B., Carbajal, N., Felipe, L. and Martinez, P. (2014) Estimation of Total Yearly CO2 Emissions by Wildfires in Mexico during the Period 1999-2010. Advances in Meteorology, 2014, Article ID: 958457. 
[3] Zhao, Y., Zhou, Z. and Xu, M. (2015) Forest Fire Smoke Video Detection Using Spatiotemporal and Dynamic Texture Features. Journal of Electrical and Computer Engineering, 2015, Article ID: 706187. https://doi.org/10.1155/2015/706187 
[4] Rucker, G. and Tiemann, J. (2012) Project Report: Eleven Years of MODIS Burned Area : A GIS Analysis for the Territory of the United Republic of Tanzania. 
[5] Shweta Dalke, Pallavi Pahadiya," Performance Analysis of Worm-Hole Attack in Wireless Sensor Network using AODV Routing Protocol", International Journal of Electronics and Communication Engineering (SSRG - IJECE),Volume 2 Issue 2 2015. 
[6] FAO (2013) A Fire Baseline Report for Tanzania. 
[7] Bolourchi, P. and Uysal, S. (2013) Forest Fire Detection in Wireless Sensor Network Using Fuzzy Logic. 5th International Conference on Computational Intelligence, Communication Systems and Networks, Madrid, 5-7 June 2013, 83-87. 
[8] Lloret, J., Garcia, M., Bri, D. and Sendra, S. (2009) A Wireless Sensor Network Deployment for Rural and Forest Fire Detection and Verification. Sensors, 9, 8722- 8747. https://doi.org/10.3390/s91108722 
[9] Er Ram Dyal , Er Varinderjit Kaur," Analysis of Some Localization Algorithm in Wireless Sensor Networks",International Journal of Computer & Organization Trends (IJCOT),Volume - 4 Issue - 4 2014. 
[10] Molina-Pico, A., Cuesta-Frau, D., Araujo, A., Alejandre, J. and Rozas, A. (2016) Forest Monitoring and Wildland Early Fire Detection by a Hierarchical Wireless Sensor Network. Journal of Sensors, 2016, Article ID: 8325845. https://doi.org/10.1155/2016/8325845 
[11] Wang, M., Liu, H., Chen, F. and Liu, J. (2015) Forest Fire Warning System Based on GIS and WSNs. 4th International Conference on Advanced Information Technology and Sensor Application, 21-23 August 2015, Harbin, 3-6. https://doi.org/10.1109/AITS.2015.8. 
[12] Chauhan, A., Semwal, S. and Chawhan, R. (2013) Artificial Neural Network-Based Forest Fire Detection System Using Wireless Sensor Network. India Conference, Mumbai, 13-15 December 2013, 16.https://doi.org/10.1109/INDCON.2013.6725913