TY - JOUR
T1 - Vehicular networks for combating a worldwide pandemic: Preventing the spread of COVID-19
AU - Elbir, Ahmet M.
AU - Gurbilek, Gokhan
AU - Soner, Burak
AU - Papazafeiropoulos, Anastasios K.
AU - Kourtessis, Pandelis
AU - Coleri, Sinem
N1 - Funding Information:
This work was supported in part by Ford Otosan, CHIST-ERA grant CHIST-ERA-18-SDCDN-001 and the Scientific and Technological Council of Turkey 119E350 .
Publisher Copyright:
© 2022 Elsevier Inc.
PY - 2022/12/31
Y1 - 2022/12/31
N2 - As a worldwide pandemic, the coronavirus disease-19 (COVID-19) has caused serious restrictions in people's social life, along with the loss of lives, the collapse of economies and the disruption of humanitarian aids. Despite the advance of technological developments, we, as researchers, have witnessed that several issues need further investigation for a better response to a pandemic outbreak. Therefore, researchers recently started developing ideas to stop or at least reduce the spread of the pandemic. While there have been some prior works on wireless networks for combating a pandemic scenario, vehicular networks and their potential bottlenecks have not yet been fully examined. Furthermore, the vehicular scenarios can be identified as the locations, where the social distancing is mostly violated. With this motivation, this article provides an extensive discussion on vehicular networking for combating a pandemic. We provide the major applications of vehicular networking for combating COVID-19 in public transportation, in-vehicle diagnosis, border patrol and social distance monitoring. Next, we identify the unique characteristics of the collected data in terms of privacy, flexibility and coverage, then highlight corresponding future directions in privacy preservation, resource allocation, data caching and data routing. We believe that this work paves the way for the development of new products and algorithms that can facilitate the social life and help controlling the spread of the pandemic.
AB - As a worldwide pandemic, the coronavirus disease-19 (COVID-19) has caused serious restrictions in people's social life, along with the loss of lives, the collapse of economies and the disruption of humanitarian aids. Despite the advance of technological developments, we, as researchers, have witnessed that several issues need further investigation for a better response to a pandemic outbreak. Therefore, researchers recently started developing ideas to stop or at least reduce the spread of the pandemic. While there have been some prior works on wireless networks for combating a pandemic scenario, vehicular networks and their potential bottlenecks have not yet been fully examined. Furthermore, the vehicular scenarios can be identified as the locations, where the social distancing is mostly violated. With this motivation, this article provides an extensive discussion on vehicular networking for combating a pandemic. We provide the major applications of vehicular networking for combating COVID-19 in public transportation, in-vehicle diagnosis, border patrol and social distance monitoring. Next, we identify the unique characteristics of the collected data in terms of privacy, flexibility and coverage, then highlight corresponding future directions in privacy preservation, resource allocation, data caching and data routing. We believe that this work paves the way for the development of new products and algorithms that can facilitate the social life and help controlling the spread of the pandemic.
KW - COVID-19
KW - Pandemic
KW - Transportation
KW - UAV
KW - Vehicular networks
UR - http://www.scopus.com/inward/record.url?scp=85142417847&partnerID=8YFLogxK
U2 - 10.1016/j.smhl.2022.100353
DO - 10.1016/j.smhl.2022.100353
M3 - Article
AN - SCOPUS:85142417847
SN - 2352-6491
VL - 26
SP - 1
EP - 10
JO - Smart Health
JF - Smart Health
M1 - 100353
ER -