Please use this identifier to cite or link to this item: https://hdl.handle.net/11499/56070
Title: Nanonetwork-based search and rescue operations in debris areas
Authors: Sahin, E.
Akkas, M.A.
Dagdeviren, O.
Keywords: Channel model
Debris area
Internet of Nano-Things
Nanonetwork
Terahertz band
Directive antennas
Disasters
Energy utilization
Nanostructured materials
Network layers
Signal to noise ratio
Channel modelling
Debris area
Internet of nano-thing
Major disasters
Nano-devices
Nano-networks
Natural disasters
Search and rescue operations
Terahertz band
Various technologies
Debris
Publisher: Elsevier B.V.
Abstract: Earthquake is one of the most destructive natural disasters. It is vital to carry out search and rescue (SAR) operations in the debris area after such a major disaster. Although there are various technologies to rescue living things in the debris area, reaching narrow gaps in the rubble is a very difficult process. Nanonetworks operating on terahertz (THz) communication channels are composed of thousands of nanodevices that can pass through even ultrasmall gaps. In this paper, we propose an application that utilizes nanodevices for SAR operations in debris areas. To the best of our knowledge, our paper is the first study to provide a detailed and specialized analysis of this application. We work on channel models by extensively analyzing transmittance, propagation loss, absorption loss, path loss, signal-to-noise ratio (SNR), and capacity. Besides, we investigate a physical layer (PHY) model by considering the effects of using directional or omnidirectional antennas to ensure optimal throughput and energy consumption. Moreover, we present an exhaustive performance analysis of the modulation technique with respect to various nanodevice counts and densities. © 2023 Elsevier B.V.
URI: http://dx.doi.org/10.1016/j.comnet.2023.110082
https://hdl.handle.net/11499/56070
ISSN: 1389-1286
Appears in Collections:Mühendislik Fakültesi Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

Show full item record



CORE Recommender

SCOPUSTM   
Citations

2
checked on Dec 14, 2024

WEB OF SCIENCETM
Citations

2
checked on Dec 18, 2024

Page view(s)

48
checked on Aug 24, 2024

Google ScholarTM

Check




Altmetric


Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.