title: Detection of Hidden Hostile/Terrorist Groups in Harsh Territories by Using Animals as Mobile Biological Sensors.
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.
authors.affiliation: Izmir University of Economics, Department of Software Engineering, Sakarya Cad. No:156 Balcova/Izmir - Turkey. yasar.sahin@ieu.edu.tr.
authors.forename: Yasar Guneri
authors.initials: YG
authors.lastname: Sahin
authors.affiliation: Yasar University, Department of Computer Engineering, Kazim Dirik Mah. 364.Sok, Bornova/Izmir Turkey. tuncay.ercan@yasar.edu.tr.
authors.forename: Tuncay
authors.initials: T
authors.lastname: Ercan
keywords: Mobile biological sensors; location detection; military operations.; mobile sensor networks