Intruder localization wireless sensor network radar design with virtual reference tags
This research designs a WSN (Wireless Sensor Network) algorithm for human intruder localization and path detection. There are two commonly used position estimation techniques in WSN, ToA (Time of Arrival) and RSSI (Received Signal Strength Indicator). In ToA the difference between arrivals of...
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| Main Author: | |
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| Format: | Thesis |
| Language: | English English English |
| Published: |
2014
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| Subjects: | |
| Online Access: | http://eprints.uthm.edu.my/1470/1/24p%20HADI%20ABDULLAH.pdf http://eprints.uthm.edu.my/1470/2/HADI%20ABDULLAH%20COPYRIGHT%20DECLARATION.pdf http://eprints.uthm.edu.my/1470/3/HADI%20ABDULLAH%20WATERMARK.pdf |
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| Summary: | This research designs a WSN (Wireless Sensor Network) algorithm for human
intruder localization and path detection. There are two commonly used position
estimation techniques in WSN, ToA (Time of Arrival) and RSSI (Received Signal
Strength Indicator). In ToA the difference between arrivals of signal is estimated and
based on this information position of target is calculated. This technique produces
better results but in real time the cost of nodes used increases due to synchronization
requirement. On the other hand RSSI technique requires no synchronization and can
be considered as most simple and low cost technique but its accuracy is very low. To
increase the accuracy of RSSI this research introduces VRTs (Virtual Reference
Tags). VRTs are previously used in RFID (Radio Frequency Identification) system to
provide reference to the system. Four reference nodes are used such that one acts as
transmitting while three as receiving nodes. These nodes are placed at the edges of
surveillance area. NS2 (Network Simulator 2) is used to design the WSN. The
surveillance area of system is taken as 80X80 meters. Nine scenarios are checked
with varying number of VRTs mapped over surveillance area. From the results it is
observed that as the number of VRT is increased, accuracy of WSN radar also
increases. But in actual implementation greater number of VRT can result in greater
hardware requirement in terms of processor and high speed data storage. Since the
proposed WSN radar is designed for human intruder localization, the WSN accuracy
is kept to 0.2 meters. In simulation for a surveillance area of 80X80 meters to locate
and track human intruder with 0.2 meter accuracy, 1721 VRTs are required to be
virtually mapped over surveillance area. This research also presents a proposed
design of WSN which can be used in vehicles as road safety feature providing
assistance to driver. The WSN consists of three receivers, one on each side and one
in front and the surveillance area around the vehicle is divided into levels which
determine whether it is safe for driver to move towards that side. Driver alerting
method is also presented using vehicle‟s steering wheel. |
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