Simulation of an Early Warning Fire System

In this paper, we will be using separate software tools (wireless network and Finite Differences Time Domain based simulators) to simulate the implementation of a wireless sensor network model based on low-rate/power transmission technology. The system operates in an unlicensed frequency range and the sensing nodes rely on surface plasmon resonance phenomenon for the detection of combustion by-products. More specifically, our simulations contemplate a system for early detection of fire in densely forested areas, which will then issue a warning in an automated way. As late detection of these events usually leads to severe flora, terrain, wild life and societal impact, an early warning system will provide better event assessment conditions, thus enabling efficient resources allocation, adequate response and would certainly be a promising improvement in minimizing such disruptive impairments.

[1]  Roland Zengerle,et al.  Microfluidic platforms for lab-on-a-chip applications. , 2007, Lab on a chip.

[2]  L M Lechuga,et al.  Integrated Bimodal Waveguide Interferometric Biosensor for Label-Free Analysis , 2011, Journal of Lightwave Technology.

[3]  J. Buus,et al.  The effective index method and its application to semiconductor lasers , 1982 .

[4]  J. Homola Surface plasmon resonance sensors for detection of chemical and biological species. , 2008, Chemical reviews.

[5]  Ahcène Bounceur,et al.  CupCarbon: A New Platform for Designing and Simulating Smart-City and IoT Wireless Sensor Networks (SCI-WSN) , 2016, ICC 2016.

[6]  M. Tahar Kechadi,et al.  Data Mining Techniques Applied to Wireless Sensor Networks for Early Forest Fire Detection , 2016, ICC 2016.

[7]  Sandra Sendra,et al.  Evaluation of CupCarbon Network Simulator for Wireless Sensor Networks , 2018, Netw. Protoc. Algorithms.

[8]  Himadri Nath Saha,et al.  Recent trends in the Internet of Things , 2017, 2017 IEEE 7th Annual Computing and Communication Workshop and Conference (CCWC).

[9]  Ahcène Bounceur,et al.  CupCarbon: A new platform for the design, simulation and 2D/3D visualization of radio propagation and interferences in IoT networks , 2018, 2018 15th IEEE Annual Consumer Communications & Networking Conference (CCNC).

[10]  M. Tahar Kechadi,et al.  CupCarbon: a multi-agent and discrete event wireless sensor network design and simulation tool , 2014, SimuTools.

[11]  E.C.M. Pennings,et al.  Optical multi-mode interference devices based on self-imaging: principles and applications , 1995 .

[12]  Supreet Kaur,et al.  Wireless Sensor Networks- Recent Trends and Research Issues , 2017 .

[13]  E. Kretschmann,et al.  Notizen: Radiative Decay of Non Radiative Surface Plasmons Excited by Light , 1968 .

[14]  A. Atreya,et al.  The science of wood combustion , 1982, Proceedings of the Indian Academy of Sciences Section C: Engineering Sciences.

[15]  Mk Meint Smit,et al.  Planar monomode optical couplers based on multimode interference effects , 1992 .

[16]  K. Chiang,et al.  Dual effective-index method for the analysis of rectangular dielectric waveguides. , 1986, Applied optics.

[17]  Boris Otto,et al.  Design Principles for Industrie 4.0 Scenarios: A Literature Review , 2015 .