A Review to Forest Fires and Its Detection Techniques Using Wireless Sensor Network

Recently reported technological growth in wireless sensor network (WSN) has extended its application in various disastrous applications. One of the most concerned issues is the forest fires occurring across the globe. Every year thousands of hectares of forest are burnt in the forest fires occurring due to one or the other reasons. Although numerous attempts have been made for the detection of forest fires at the earliest, there is still scope for the utilization of optimum technique for the same. This paper aims to report a review of taxonomy of some of the significant forest fire detection techniques encountered in the literature so far. Moreover, scenario of the forest fires prevailing in India is also discussed. In this paper, the comprehensive tabular study of the state-of-art techniques is given which will help in the appropriate selection of methods to be employed for the real-time detection of forest fire.

[1]  R. Szczygieł,et al.  EUFOFINET: european collaboration to improve preparation and response to wildfires and forest fires in Europe , 2013 .

[2]  Iwao Sasase,et al.  Priority based routing for forest fire monitoring in wireless sensor network , 2014 .

[3]  Xiaoqiao Meng,et al.  Real-time forest fire detection with wireless sensor networks , 2005, Proceedings. 2005 International Conference on Wireless Communications, Networking and Mobile Computing, 2005..

[4]  Nadeem Javaid,et al.  ACH: Away cluster heads scheme for Energy Efficient Clustering Protocols in WSNs , 2013, 2013 Saudi International Electronics, Communications and Photonics Conference.

[5]  V. Bahuguna,et al.  Forest fires in India: policy initiatives for community participation , 2002 .

[6]  Nirvana Meratnia,et al.  Automatic Fire Detection: A Survey from Wireless Sensor Network Perspective , 2008 .

[7]  Diwaker Pant,et al.  A study on disaster detection and management using WSN in Himalayan region of Uttarakhand , 2017, 2017 3rd International Conference on Advances in Computing,Communication & Automation (ICACCA) (Fall).

[8]  J. E. Granger Fire in Forest , 1984 .

[9]  Alan Grainger,et al.  Dynamics of global forest area: Results from the FAO Global Forest Resources Assessment 2015 , 2015 .

[10]  Mohamed F. Younis,et al.  A survey on routing protocols for wireless sensor networks , 2005, Ad Hoc Networks.

[11]  Majid Bagheri,et al.  Forest Fire Modeling and Early Detection using Wireless Sensor Networks , 2009, Ad Hoc Sens. Wirel. Networks.

[12]  M. Murthy,et al.  Forest fire in India: a review of the knowledge base , 2009, Journal of Forest Research.

[13]  Xiangjian He,et al.  A Sybil Attack Detection Scheme for a Centralized Clustering-Based Hierarchical Network , 2015, TrustCom 2015.

[14]  Abdellah Najid,et al.  Routing-Gi: routing technique to enhance energy efficiency in WSNs , 2017, Int. J. Ad Hoc Ubiquitous Comput..

[15]  Ajay K. Sharma,et al.  Genetic Algorithm-based Optimized Cluster Head selection for single and multiple data sinks in Heterogeneous Wireless Sensor Network , 2019, Appl. Soft Comput..

[16]  Neetu Sood,et al.  QoS provisioning-based routing protocols using multiple data sink in IoT-based WSN , 2019, Modern Physics Letters A.

[17]  Saad B. Qaisar,et al.  Characteristics and classification of outlier detection techniques for wireless sensor networks in harsh environments: a survey , 2012, Artificial Intelligence Review.

[18]  G. Certini Effects of fire on properties of forest soils: a review , 2005, Oecologia.

[19]  D. Roy,et al.  An overview of MODIS Land data processing and product status , 2002 .

[20]  JAMAL N. AL-KARAKI,et al.  Routing techniques in wireless sensor networks: a survey , 2004, IEEE Wireless Communications.

[21]  Nicholas R. Nalli,et al.  The Advanced Very High Resolution Radiometer (AVHRR) Pathfinder Atmosphere (PATMOS) Climate Dataset: Initial Analyses and Evaluations , 2002 .

[22]  S. P. Vasudeva Disastrous Forest Fires: Management and Control , 2018 .

[23]  Naveen Chauhan,et al.  Forest Fire Detection System Using IoT and Artificial Neural Network , 2018, International Conference on Innovative Computing and Communications.

[24]  Ahmad A. A. Alkhatib A Review on Forest Fire Detection Techniques , 2014, Int. J. Distributed Sens. Networks.

[25]  Özgür Ulusoy,et al.  A framework for use of wireless sensor networks in forest fire detection and monitoring , 2012, Comput. Environ. Urban Syst..

[26]  Suresh Sankaranarayanan,et al.  Forest Fire Information System Using Wireless Sensor Network , 2017, Int. J. Agric. Environ. Inf. Syst..

[27]  Neetu Sood,et al.  Design of a novel routing architecture for harsh environment monitoring in heterogeneous WSN , 2018, IET Wirel. Sens. Syst..

[28]  William I. Grosky,et al.  Review of Applications of Wireless Sensor Networks , 2016 .

[29]  Pabitra Mohan Khilar,et al.  Forest fire monitoring and detection of faulty nodes using wireless sensor network , 2016, 2016 IEEE Region 10 Conference (TENCON).

[30]  Kamalrulnizam Abu Bakar,et al.  Energy-aware and secure routing with trust for disaster response wireless sensor network , 2017, Peer-to-Peer Netw. Appl..

[31]  V. Milutinovic,et al.  A survey of military applications of wireless sensor networks , 2012, 2012 Mediterranean Conference on Embedded Computing (MECO).

[32]  Junguo Zhang,et al.  Forest fire detection system based on a ZigBee wireless sensor network , 2008 .

[33]  Ajay K. Sharma,et al.  A novelistic approach for energy efficient routing using single and multiple data sinks in heterogeneous wireless sensor network , 2019, Peer-to-Peer Networking and Applications.