An Accurate Methodology to Identify the Explosives using Wireless Sensor Networks

Rejeti, Kishore; Murali, G.; Kumar, B Suresh

doi:10.2139/ssrn.3362178

Cited by 3 publications

(1 citation statement)

References 20 publications

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“…Ball et al [2] studied military surveillance networks and the usage of computational intelligence for explosive detection. Kumar and Murali [3] made a review of explosives, their detection methods and possible automatic detection of explosives using Wireless Sensor Network (WSN). Kumar and Sushanth [4] explored robotic vehicle with an arm for explosive detection.…”

Section: Related Workmentioning

confidence: 99%

Wireless Nano Senor Network (WNSN) for Trace Detection of Explosives: The Case of RDX and TNT

Kumar¹,

Naik²,

Murali³

2019

I2M

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Due to enormous growth in explosives-based terrorism across the globe, the research on detection of explosives assumed unprecedented significance. It is more so in the wake of 9/11 and more recent incidents. There is no single solution for the menace of terrorism. One of the solutions is to detect explosives early and build counterintelligence to combat the man-made campaign. However, it is a challenging task to detect trace explosives due to low vapour pressure, increasing permutations in composition, avenues for deployment, and concealment. Many trace explosive detection systems came into existence. They include sensor based detection, Gas Chromatography (GC), Mass Spectrometry (MS), and Mobility Spectrometry (MS). These techniques need devices that are expensive, bulky and with operating procedures that are time taking. Deploying such devices in strategic areas is inadequate as the large scale usage of them is not possible. Therefore it is indispensable to have small inexpensive sensors, which are sensitive and selective, deployed in large scale. Nano sensor technology when leveraged to form a massive network has potential for detecting trace explosives. As a step toward the solution, we presented a methodology with Wireless Nano Sensor Network (WNSN) implemented using NS2 for simulation study of trace detection of explosives. We proposed an algorithm named Nano Trace Explosive Detection (NTED) to achieve this. As there was a plethora of explosives materials, we preferred the two most common explosives named TNT and RDX as case study. Our results revealed the significance and potential of WNSN for protecting people and properties from terror attacks.

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Section: Related Workmentioning

confidence: 99%

Wireless Nano Senor Network (WNSN) for Trace Detection of Explosives: The Case of RDX and TNT

Kumar¹,

Naik²,

Murali³

2019

I2M

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Nanosensors for smart cities: an introduction

Nazari

2020

Nanosensors for Smart Cities

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Sustainable Computing-Based Simulation of Intelligent Border Surveillance Using Mobile WSN

Latif,

Farhan,

Khan

et al. 2024

Navigating Cyber Threats and Cybersecurity in the Logistics Industry

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This chapter has simulated and designed the intrusion detection and border surveillance system using mobile WSN technology. Due to increased terrorism globally, border protection has become a crucial issue in every country. Conventionally in border protection, a troop cannot provide security all over time. The authors have simulated the design of border protection by using mobile WSN technology on a CupCarbon simulator tool. They have analyzed the scenario of the smart city. So, a troop can be intimated with intrusions occurring on the border. They have created the authentication protocol for the better security of the application. The security protocol is necessary because the soldier's mobile device can be stolen during the war. It can be going into the hands of the enemy in the situation when troops expire. The Android app can guide the troop in the time of emergency and what the next step should be followed. The authors can check the status of the sensors deployed on the border. They have analyzed these applications based on the application's rating with machine learning techniques.

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An Accurate Methodology to Identify the Explosives using Wireless Sensor Networks

Cited by 3 publications

References 20 publications

Wireless Nano Senor Network (WNSN) for Trace Detection of Explosives: The Case of RDX and TNT

Wireless Nano Senor Network (WNSN) for Trace Detection of Explosives: The Case of RDX and TNT

Nanosensors for smart cities: an introduction

Sustainable Computing-Based Simulation of Intelligent Border Surveillance Using Mobile WSN

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