Using wireless sensor networks in improvised explosive device detection

This research focused on wide-area surveillance of public environments for potential IEDs (improvised explosive devices) using wireless sensor networks. We explored magnetic and infrared sensors from Crossbow Technologies to detect simulated emplaced IEDs (emplacement is the step most susceptible...

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Main Author: Sim, Phua Poh.
Other Authors: Singh, Gurminder
Published: Monterey, California. Naval Postgraduate School 2012
Online Access:http://hdl.handle.net/10945/3129
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spelling ndltd-nps.edu-oai-calhoun.nps.edu-10945-31292014-11-27T16:04:24Z Using wireless sensor networks in improvised explosive device detection Sim, Phua Poh. Singh, Gurminder Rowe, Neil C. Naval Postgraduate School (U.S.) This research focused on wide-area surveillance of public environments for potential IEDs (improvised explosive devices) using wireless sensor networks. We explored magnetic and infrared sensors from Crossbow Technologies to detect simulated emplaced IEDs (emplacement is the step most susceptible to detection) in a public mall and along a typical street environment. The threat scenario was IED emplacement in a trash receptacle. A network of these sensors was built and positioned in these environments with human subjects entering (some carrying ferromagnetic materials and some not) and proceeding toward a receptacle. Results indicated that magnetic sensors could detect suspicious ferromagnetic materials, though not all simulated IEDs contained enough to trigger detection. Infrared sensors were not effective for such tasks as there is much background infrared radiation. Our network design was such that data could easily be aggregated over many sensors in larger networks. This suggests that the technology can be effective for protecting communal areas such as airports and urban areas. Other supplementary technologies such as imagery could be linked to build a more robust detection network. 2012-03-14T17:37:23Z 2012-03-14T17:37:23Z 2007-12 Thesis http://hdl.handle.net/10945/3129 191069909 Approved for public release, distribution unlimited Monterey, California. Naval Postgraduate School
collection NDLTD
sources NDLTD
description This research focused on wide-area surveillance of public environments for potential IEDs (improvised explosive devices) using wireless sensor networks. We explored magnetic and infrared sensors from Crossbow Technologies to detect simulated emplaced IEDs (emplacement is the step most susceptible to detection) in a public mall and along a typical street environment. The threat scenario was IED emplacement in a trash receptacle. A network of these sensors was built and positioned in these environments with human subjects entering (some carrying ferromagnetic materials and some not) and proceeding toward a receptacle. Results indicated that magnetic sensors could detect suspicious ferromagnetic materials, though not all simulated IEDs contained enough to trigger detection. Infrared sensors were not effective for such tasks as there is much background infrared radiation. Our network design was such that data could easily be aggregated over many sensors in larger networks. This suggests that the technology can be effective for protecting communal areas such as airports and urban areas. Other supplementary technologies such as imagery could be linked to build a more robust detection network.
author2 Singh, Gurminder
author_facet Singh, Gurminder
Sim, Phua Poh.
author Sim, Phua Poh.
spellingShingle Sim, Phua Poh.
Using wireless sensor networks in improvised explosive device detection
author_sort Sim, Phua Poh.
title Using wireless sensor networks in improvised explosive device detection
title_short Using wireless sensor networks in improvised explosive device detection
title_full Using wireless sensor networks in improvised explosive device detection
title_fullStr Using wireless sensor networks in improvised explosive device detection
title_full_unstemmed Using wireless sensor networks in improvised explosive device detection
title_sort using wireless sensor networks in improvised explosive device detection
publisher Monterey, California. Naval Postgraduate School
publishDate 2012
url http://hdl.handle.net/10945/3129
work_keys_str_mv AT simphuapoh usingwirelesssensornetworksinimprovisedexplosivedevicedetection
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