Explosive Detection Using Re Explosive Detection Using Remote Nano Sensor Network (RNSN)

  • Authors

    • R V Kishore Kumar
    • Dr G.Murali
    2018-06-08
    https://doi.org/10.14419/ijet.v7i2.33.17906
  • Nanosensor, WNSN, Explosive detection, RDX.
  • Because of huge development in explosives-based fear based oppression over the globe, the exploration on location of explosives accepted exceptional centrality. It is all the more so in the wake of 9/11 and later episodes. There is no single answer for the threat of fear mongering. One of the arrangements is to recognize explosives early and assemble counterintelligence to battle the man-made crusade. In any case, it is a testing errand to recognize follows explosives because of low vapor weight, expanding changes in creation, roads for arrangement, and camouflage. Numerous follow touchy recognition frameworks appeared. They incorporate sensor based identification, Gas Chromatography (GC), Mass Spectrometry (MS), and Mobility Spectrometry (MS). These systems require gadgets that are costly, massive and with working methodology that are time taking. Conveying such gadgets in vital zones is deficient as the expansive scale utilization of them isn't conceivable. Hence it is vital to have little reasonable sensors, which are touchy and specific, conveyed in expansive scale. Nanosensor innovation when utilized to shape an enormous system has potential for recognizing follow explosives. As a stage toward the arrangement, we gave a procedure Wireless Nano Sensor Network (WNSN) executed utilizing NS2 for reproduction investigation of follow recognition of explosives. We proposed a calculation named Nano Trace Explosive Detection (NTED) to accomplish this. As there are plenty of explosives materials, we favored the two most basic explosives named TNT and RDX as contextual analysis. Our outcomes uncovered the importance and capability of WNSN for shielding individuals and properties from dread assaults.

     

     

  • References

    1. [1] [1] Minni Mohan And Siddharth Shelly. (2016). Border Security Robot. IJCI. 5 (2), p1-9.

      [2] [2] Mark G. Ball, Blerim Qela and Slawomir Wesolkowski. (2015). A Review of the Use of Computational Intelligence in the Design of Military Surveillance Networks. springer. 0 (0), p1-29.

      [3] [3] R V Kishore Kumar and G.Murali. (2016). A Survey on the Present State-of-the-Art of Explosives, Detection Methods and Automatic Explosive Detection using Wireless Sensor Network. International Journal of Applied Engineering Research. 11 (1), p1-7.

      [4] [4] Nithin Kumar and Sushanth K J. (2016). Gesture Contolled Robotic Arm Using Wireless Networks. IJCEM. 3 (1), P1-11.

      [5] [5] Andrey Makeenkova, Igor Lapitskiya, Andrey Somov AN Alexander Baranovca. (2015). Flammable gases and vapors of flammable liquids: Monitoring withinfrared sensor node. Computer Science Department. 0 (0), p1-6.

      [6] [6] D. T. Usmanov, L. C. Chen, Z. Yu, S. Yamabe, S. Sakakic and K. Hiraoka. (2015). Atmospheric pressure chemical ionization of explosives using alternating current corona discharge ion source.... John Wiley & Sons. 0 (0), p1-12.

      [7] [7] Eduardo López and Fernando Isorna. (2015). Analysis of high-pressure hydrogen and natural gas cylinders explosions through TNT equivalent method. ACM. 0 (0), p1-8.

      [8] [8] Abdul Rehman and Xiangqun Zeng. (2015). Methods and approaches of utilizing ionic liquids as gas sensing materials. IEEE. 0 (0), p1-23.

      [9] [9] David I.A. Millar, Iain D.H. Oswald, Christopher Barry, Duncan J. Francis, William G. Marshall, Colin R. Pulham and Adam S. Cumming. (2017). Pressure-cooking of explosives--the crystal structure of epsilon- RDX as determined by X-ray and neutron diffraction. IEEE. 0 (0), p1-10.

  • Downloads

  • How to Cite

    V Kishore Kumar, R., & G.Murali, D. (2018). Explosive Detection Using Re Explosive Detection Using Remote Nano Sensor Network (RNSN). International Journal of Engineering & Technology, 7(2.33), 1053-1056. https://doi.org/10.14419/ijet.v7i2.33.17906