Abstract
Mobile automated video surveillance systems deployed in mobile environments are used to monitor and analyze numerous situations and take necessary actions in real time. These systems include various mobile nodes equipped with numerous sensors and involve application of sophisticated image and video processing algorithms. The execution of these algorithms requires a vast amount of computing and storage resources. To address the issue a traditional approach is to send collected data to an application on a cloud accessible through an infrastructure-based system such as cellular network. This approach has several issues such as high transmission energy consumption and communication latency. In addition, this approach cannot be used in situations where pre-existing communication infrastructure is not available. This paper focuses on a recent approach in which multiple mobile devices interconnected through a mobile ad hoc network are combined to create a virtual supercomputing node called a mobile ad hoc cloud which is then used to support execution of automated video surveillance application. In order to fulfil real-time requirements associated with automated video surveillance application, a task allocation scheme has been proposed. Compared to existing schemes, proposed scheme focuses on deadline-oriented tasks and energy efficiency.
| Original language | English |
|---|---|
| Title of host publication | 2017 International Conference on Computing, Networking and Communications, ICNC 2017 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 1001-1005 |
| Number of pages | 5 |
| ISBN (Electronic) | 9781509045884 |
| DOIs | |
| Publication status | Published - 2017 Mar 10 |
| Event | 2017 International Conference on Computing, Networking and Communications, ICNC 2017 - Silicon Valley, United States Duration: 2017 Jan 26 → 2017 Jan 29 |
Other
| Other | 2017 International Conference on Computing, Networking and Communications, ICNC 2017 |
|---|---|
| Country | United States |
| City | Silicon Valley |
| Period | 17/1/26 → 17/1/29 |
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Keywords
- Ad hoc networks
- Mobile cloud
- Mobile video survillance
- Resource management
ASJC Scopus subject areas
- Computer Networks and Communications
- Electrical and Electronic Engineering
Cite this
A mobile ad hoc cloud for automated video surveillance system. / Jang, Minseok; Park, Myong Soon; Shah, Sayed Chhattan.
2017 International Conference on Computing, Networking and Communications, ICNC 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 1001-1005 7876271.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - A mobile ad hoc cloud for automated video surveillance system
AU - Jang, Minseok
AU - Park, Myong Soon
AU - Shah, Sayed Chhattan
PY - 2017/3/10
Y1 - 2017/3/10
N2 - Mobile automated video surveillance systems deployed in mobile environments are used to monitor and analyze numerous situations and take necessary actions in real time. These systems include various mobile nodes equipped with numerous sensors and involve application of sophisticated image and video processing algorithms. The execution of these algorithms requires a vast amount of computing and storage resources. To address the issue a traditional approach is to send collected data to an application on a cloud accessible through an infrastructure-based system such as cellular network. This approach has several issues such as high transmission energy consumption and communication latency. In addition, this approach cannot be used in situations where pre-existing communication infrastructure is not available. This paper focuses on a recent approach in which multiple mobile devices interconnected through a mobile ad hoc network are combined to create a virtual supercomputing node called a mobile ad hoc cloud which is then used to support execution of automated video surveillance application. In order to fulfil real-time requirements associated with automated video surveillance application, a task allocation scheme has been proposed. Compared to existing schemes, proposed scheme focuses on deadline-oriented tasks and energy efficiency.
AB - Mobile automated video surveillance systems deployed in mobile environments are used to monitor and analyze numerous situations and take necessary actions in real time. These systems include various mobile nodes equipped with numerous sensors and involve application of sophisticated image and video processing algorithms. The execution of these algorithms requires a vast amount of computing and storage resources. To address the issue a traditional approach is to send collected data to an application on a cloud accessible through an infrastructure-based system such as cellular network. This approach has several issues such as high transmission energy consumption and communication latency. In addition, this approach cannot be used in situations where pre-existing communication infrastructure is not available. This paper focuses on a recent approach in which multiple mobile devices interconnected through a mobile ad hoc network are combined to create a virtual supercomputing node called a mobile ad hoc cloud which is then used to support execution of automated video surveillance application. In order to fulfil real-time requirements associated with automated video surveillance application, a task allocation scheme has been proposed. Compared to existing schemes, proposed scheme focuses on deadline-oriented tasks and energy efficiency.
KW - Ad hoc networks
KW - Mobile cloud
KW - Mobile video survillance
KW - Resource management
UR - http://www.scopus.com/inward/record.url?scp=85017373422&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85017373422&partnerID=8YFLogxK
U2 - 10.1109/ICCNC.2017.7876271
DO - 10.1109/ICCNC.2017.7876271
M3 - Conference contribution
AN - SCOPUS:85017373422
SP - 1001
EP - 1005
BT - 2017 International Conference on Computing, Networking and Communications, ICNC 2017
PB - Institute of Electrical and Electronics Engineers Inc.
ER -