EEFFL: energy efficient data forwarding for forest fire detection using localization technique in wireless sensor networ
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EEFFL: energy efficient data forwarding for forest fire detection using localization technique in wireless sensor network Raj Vikram1 • Ditipriya Sinha1 • Debashis De2
•
Ayan Kumar Das3
Springer Science+Business Media, LLC, part of Springer Nature 2020
Abstract Early prediction of a forest fire is one of the critical research challenges of the wireless sensor network (WSN) to save our ecosystem. In WSN based forest fire detection system, sensor nodes are deployed in the remote forest area for transmitting the sensed data to the base station, which is accessible by the forest department. Though sensor nodes in the forest are localized through GPS connection, the high deployment cost for it motivates the authors of this paper to design a novel localization technique applying the Support Vector Machine. Forest fire prediction in an energy efficient way is another concern of this paper. The semi-supervised classification model is proposed to address this problem by dividing the forest area into different zones [High Active (HA), Medium Active (MA), and Low Active (LA)]. It is designed in such a way that it can be able to predict the state of the (HA, MA, LA) fire zone with 90% accuracy when only one parameter is sensed by sensor nodes due to energy constraints. The greedy forwarding technique is used to transmit the packets from the HA zone to the base station continuously, and the MA zone transmits packets periodically, whereas, LA zone avoids transmitting the sensed data to the base station. This technique of data forwarding enhances network lifetime and reduces congestion during data transmission from the forest area to the base station.
Electronic supplementary material The online version of this article (https://doi.org/10.1007/s11276-020-02393-1) contains supplementary material, which is available to authorized users. & Debashis De [email protected]
2
Centre of Mobile Cloud Computing, Department of Computer Science and Engineering, Maulana Abul Kalam Azad University of Technology, West Bengal, Kolkata 700064, India
3
Department of Computer Science and Engineering, Birla Institute of Technology, Patna, India
Raj Vikram [email protected] Ditipriya Sinha [email protected] Ayan Kumar Das [email protected] 1
Department of Computer Science and Engineering, National Institute of Technology, Patna, India
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Wireless Networks
Graphic abstract
Keywords Wireless sensor network Forest fire Greedy forwarding Initiator node Localization
1 Introduction Forest Fire is a serious problem nowadays. The problem is spreading day by day. In recent December 2019, Australia bush fires destroyed more than 20 km (12.4 miles) area in just five hours. Dry lightning in drought-affected forests was responsible for starting a number of fires in Victoria’s East Gippsland region, according to the state agency
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Victoria emergency [1]. The Amazon rain forest [2] is the world’s most massive carbon dioxide sink, and it estimates capturing 25% of
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