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Wayne State University

Utilization Of A Large-Scale Wireless Sensor Network For Intrusion Detection And Border Surveillance

Abstract

dc:description.abstract

<p>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.</p>

Degree

thesis:*
Name thesis:degree_name
Ph.D.
Level thesis:degree_level
Open Access Dissertation
Discipline thesis:degree_discipline
Electrical and Computer Engineering
Year dc:date.available
2016

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Alkhathami, Mosad Helsan
Contributors dc:contributor
  • Caisheng Wang
  • Lubna Alazzawi

Subjects

dc:subject × 1

Identifiers

dc:identifier.*
OAI identifier oai:identifier
oai:digitalcommons.wayne.edu:oa_dissertations-2507

Chain of custody

source
Harvested from
Wayne State University
Base URL
digitalcommons.wayne.edu/do/oai/
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Alkhathami, Mosad Helsan. Utilization Of A Large-Scale Wireless Sensor Network For Intrusion Detection And Border Surveillance. Open Access Dissertation thesis, 2016. https://digitalcommons.wayne.edu/oa_dissertations/1508