An Improved Forest Fire Alerting System Using Wireless Sensor Network
Advances in Networks
Volume 6, Issue 1, June 2018, Pages: 21-39
Received: Feb. 17, 2018; Accepted: Mar. 10, 2018; Published: Mar. 29, 2018
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Authors
Saeed Ullah Jan, Department of Computer Science & IT, University of Malakand, Chakdara, Pakistan
Fazal Khaliq, Department of Computer Science & IT, University of Malakand, Chakdara, Pakistan
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Abstract
Wireless Sensor Network is a self-organization network that consists of a distributed number of minor devices for performing the monitoring activities within the deployed environment. Many wildfires cause forest damages affecting a large number of living organisms. This research study discusses a system design approach to wireless sensor network (WSN) based on the monitoring of wildfire. The main goal of the proposed solution is to intelligently estimate the scale and intensity of the wildfire which is ignited in the forest. The energy efficient and priority based techniques have been implemented for the data communication between the wireless sensor networks. The dynamic routing paths can be created with the help of the proposed data communication solution. These dynamic paths are developed depending upon a number of parameters such as weight, energy, fire, weather index and security. For the sake of validation, the proposed solution designs and implements a prototype by using Microsoft Framework (tools and technologies) to accomplish an extensive number of simulation experiments. The results and evaluations clearly show the efficiency and dependability of our proposed approach based on the wireless sensor network.
Keywords
Energy, Wildfire, Landslide, Intensity, Framework
To cite this article
Saeed Ullah Jan, Fazal Khaliq, An Improved Forest Fire Alerting System Using Wireless Sensor Network, Advances in Networks. Vol. 6, No. 1, 2018, pp. 21-39. doi: 10.11648/j.net.20180601.13
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Copyright © 2018 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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