@article {10.3844/jcssp.2017.767.780,
article_type = {journal},
title = {A Mobile Ad hoc Cloud Computing and Networking Infrastructure for Automated Video Surveillance System},
author = {Shah, Sayed Chhattan},
volume = {13},
number = {12},
year = {2017},
month = {Dec},
pages = {767-780},
doi = {10.3844/jcssp.2017.767.780},
url = {https://thescipub.com/abstract/jcssp.2017.767.780},
abstract = {Mobile automated video surveillance system involves application of real-time image and video processing algorithms which require a vast quantity of computing and storage resources. To support the execution of mobile automated video surveillance system, a mobile ad hoc cloud computing and networking infrastructure is proposed in which multiple mobile devices interconnected through a mobile ad hoc network are combined to create a virtual supercomputing node. An energy efficient resource allocation scheme has also been proposed for allocation of real-time automated video surveillance tasks. To enable communication between mobile devices, a Wi-Fi Direct based mobile ad hoc cloud networking infrastructure has been developed. More specifically, a routing layer has been developed to support communication between Wi-Fi Direct devices in a group and multi-hop communication between devices across the group. The proposed system has been implemented on a group of Wi-Fi Direct enabled Samsung mobile devices.},
journal = {Journal of Computer Science},
publisher = {Science Publications}
}