Detection of Hidden Hostile/Terrorist Groups in Harsh Territories by Using Animals as Mobile Biological Sensors

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Date

2008

Authors

Sahin, Yasar Guneri

Journal Title

Journal ISSN

Volume Title

Publisher

Mdpi

Open Access Color

GOLD

Green Open Access

Yes

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Publicly Funded

No
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Average
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Average
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Average

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Journal Issue

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
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OpenCitations Citation Count
7

Source

Sensors

Volume

8

Issue

7

Start Page

4365

End Page

4383
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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

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Downloads

12

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Google Scholar™
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OpenAlex FWCI
0.2422

Sustainable Development Goals

9

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