Utilization Of A Large-Scale Wireless Sensor Network For Intrusion Detection And Border Surveillance
Access Type
Open Access Dissertation
Date of Award
January 2016
Degree Type
Dissertation
Degree Name
Ph.D.
Department
Electrical and Computer Engineering
First Advisor
Caisheng Wang
Second Advisor
Lubna Alazzawi
Abstract
To control the border more effectively, countries may deploy a detection system that enables real-time surveillance of border integrity. Events such as border crossings need to be monitored in real time so that any border entries can be noted by border security forces and destinations marked for apprehension. Wireless Sensor Networks (WSNs) are promising for border security surveillance because they enable enforcement teams to monitor events in the physical environment. In this work, probabilistic models have been presented to investigate senor development schemes while considering the environmental factors that affect the sensor performance. Simulation studies have been carried out using the OPNET to verify the theoretical analysis and to find an optimal node deployment scheme that is robust and efficient by incorporating geographical coordination in the design. Measures such as adding camera and range-extended antenna to each node have been investigated to improve the system performance. A prototype WSN based surveillance system has been developed to verify the proposed approach.
Recommended Citation
Alkhathami, Mosad Helsan, "Utilization Of A Large-Scale Wireless Sensor Network For Intrusion Detection And Border Surveillance" (2016). Wayne State University Dissertations. 1508.
https://digitalcommons.wayne.edu/oa_dissertations/1508