Modeling of Wireless Sensor Networks for Detection Land and Forest Fire Hotspot

Forest fires in Indonesia is one of big issue and disaster because of Indonesia located in tropical region, furthermore some of region consist of peat land that high risk for fire especially in dry season. Riau Province is one of region that regularly incident of forest fire with affected the length and breadth of Indonesia. This research proposes development of Wireless Sensor Networks (WSNs) for detection of forest fire hotspot in Indonesia, further case location in Riau province one of the region that high risk forest fire in dry season. WSNs technology used for ground sensor system to collect environmental data, any change by the times reporting to the data center to be analyze. Data training for fire hotspot detection is done in data center to determine and conclude of fire hotspot then potential to become big fire. The deployment of sensors will be located at several locations that has potential for fire incident in previous case and forecast location with potential fire happen. Mathematical analysis is used in this case for modelling number of sensor required to deploy and the size of forest area. The design and development of WSNs give high impact and feasibility to overcome current issues of forest fire and fire hotspot detection in Indonesia. The development of this system used WSNs highly applicable for early warning and alert system for fire hotspot detection.

[1]  M. Tahar Kechadi,et al.  Energy-Efficient Data Mining Techniques for Emergency Detection in Wireless Sensor Networks , 2016, 2016 Intl IEEE Conferences on Ubiquitous Intelligence & Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People, and Smart World Congress (UIC/ATC/ScalCom/CBDCom/IoP/SmartWorld).

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

[3]  Mihaela Cardei,et al.  Distributed Algorithms for Event Reporting in Mobile-Sink WSNs for Internet of Things , 2017 .

[4]  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).

[5]  Elias S. Manolakos,et al.  Temperature field modeling and simulation of wireless sensor network behavior during a spreading wildfire , 2008, 2008 16th European Signal Processing Conference.

[6]  Kok Lay Teo,et al.  Forest fire monitoring, detection and decision making systems by wireless sensor network , 2018, 2018 Chinese Control And Decision Conference (CCDC).

[7]  A. Usup,et al.  Recent Forest and Peat Fire Trends in IndonesiaThe Latest Decade by MODIS Hotspot Data , 2012 .

[8]  Hong Cheng,et al.  Real-Time Identification of Smoldering and Flaming Combustion Phases in Forest Using a Wireless Sensor Network-Based Multi-Sensor System and Artificial Neural Network , 2016, Sensors.

[9]  Evizal Abdul Kadir.  A reconfigurable MIMO antenna system for wireless communications , 2017, 2017 4th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI).

[10]  Sankaranarayanan Swamynathan,et al.  Cluster-chain mobile agent routing algorithm for efficient data aggregation in wireless sensor network , 2017, Journal of Communications and Networks.

[11]  Vandana Mohindru,et al.  Detection of forest fires using machine learning technique: A perspective , 2015, 2015 Third International Conference on Image Information Processing (ICIIP).

[12]  Adnan Al-Anbuky,et al.  Wireless Sensor Network Based Wildfire Hazard Prediction System Modeling , 2011, ANT/MobiWIS.

[13]  Evizal Abdul Kadir,et al.  Application of RFID technology and e-seal in container terminal process , 2016, 2016 4th International Conference on Information and Communication Technology (ICoICT).

[14]  Emil C. Lupu,et al.  Detecting Malicious Data Injections in Event Detection Wireless Sensor Networks , 2015, IEEE Transactions on Network and Service Management.

[15]  Dusanka Boskovic,et al.  Forest fire early detection system design utilising the WSN simulator , 2017, 2017 XXVI International Conference on Information, Communication and Automation Technologies (ICAT).