Detection of Hidden Hostile/Terrorist Groups in Harsh Territories by Using Animals as Mobile Biological Sensors
Loading...
Files
Date
2008
Authors
Sahin, Yasar Guneri
Journal Title
Journal ISSN
Volume Title
Publisher
Mdpi
Open Access Color
GOLD
Green Open Access
Yes
OpenAIRE Downloads
OpenAIRE Views
Publicly Funded
No
Abstract
Terrorism is the greatest threat to national security and cannot be defeated by conventional military force alone. In critical areas such as Iraq, Afghanistan and Turkey, regular forces cannot reach these hostile/terrorist groups, the instigators of terrorism. These groups have a clear understanding of the relative ineffectiveness of counter-guerrilla operations and rely on guerrilla warfare to avoid major combat as their primary means of continuing the conflict with the governmental structures. In Internal Security Operations, detection of terrorist and hostile groups in their hiding places such as caves, lairs, etc. can only be achieved by professionally trained people such as Special Forces or intelligence units with the necessary experience and tools suitable for collecting accurate information in these often harsh, rugged and mountainous countries. To assist these forces, commercial micro-sensors with wireless interfaces could be utilized to study and monitor a variety of phenomena and environments from a certain distance for military purposes. In order to locate hidden terrorist groups and enable more effective use of conventional military resources, this paper proposes an active remote sensing model implanted into animals capable of living in these environments. By using these mobile sensor devices, improving communications for data transfer from the source, and developing better ways to monitor and detect threats, terrorist ability to carry out attacks can be severely disrupted.
Description
Keywords
mobile biological sensors, location detection, mobile sensor networks, military operations, Border Control, Security, military operations., Chemical technology, TP1-1185, location detection, mobile sensor networks, Article, Mobile biological sensors
Fields of Science
05 social sciences, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 0505 law
Citation
WoS Q
Q2
Scopus Q
Q1

OpenCitations Citation Count
7
Source
Sensors
Volume
8
Issue
7
Start Page
4365
End Page
4383
PlumX Metrics
Citations
CrossRef : 6
Scopus : 7
PubMed : 1
Captures
Mendeley Readers : 20
SCOPUS™ Citations
7
checked on Mar 15, 2026
Web of Science™ Citations
5
checked on Mar 15, 2026
Page Views
5
checked on Mar 15, 2026
Downloads
12
checked on Mar 15, 2026
Google Scholar™

OpenAlex FWCI
0.2422
Sustainable Development Goals
9
INDUSTRY, INNOVATION AND INFRASTRUCTURE


